Public Comment on the U.S. Artificial Intelligence Safety Institute’s Draft Document: NIST AI 800-1, Managing Misuse Risk for Dual-Use Foundation Models
Public comments serve the executive branch by informing more effective, efficient program design and regulation. As part of our commitment to evidence-based, science-backed policy, FAS staff leverage public comment opportunities to embed science, technology, and innovation into policy decision-making.
The Federation of American Scientists (FAS) is a non-partisan organization dedicated to using science and technology to benefit humanity through equitable and impactful policy. With a strong track record in AI governance, FAS has actively contributed to the development of AI standards and frameworks, including providing feedback on NIST AI 600-1, the Generative AI Profile. Our work spans advocating for federal AI testbeds, recommending policy measures for frontier AI developers, and evaluating industry adoption of the NIST AI Risk Management Framework. We are members of the U.S. AI Safety Institute Research Consortium, and we responded to NIST’s request for information earlier this year concerning its responsibilities under sections 4.1, 4.5, and 11 of the AI Executive Order.
We commend NIST’s U.S. Artificial Intelligence Safety Institute for developing the draft guidance on “Managing Misuse Risk for Dual-Use Foundation Models.” This document represents a significant step toward establishing robust practices for mitigating catastrophic risks associated with advanced AI systems. The guidance’s emphasis on comprehensive risk assessment, transparent decision-making, and proactive safeguards aligns with FAS’s vision for responsible AI development.
In our response, we highlight several strengths of the guidance, including its focus on anticipatory risk assessment and the importance of clear documentation. We also identify areas for improvement, such as the need for harmonized language and more detailed guidance on model development safeguards. Our key suggestions include recommending a more holistic socio-technical approach to risk evaluation, strengthening language around halting development for unmanageable risks, and expanding the range of considered safeguards. We believe these adjustments will further strengthen NIST’s crucial role in shaping responsible AI development practices.
Background and Context
The rapid advancement of AI foundation models has spurred novel industry-led risk mitigation strategies. Leading AI companies have voluntarily adopted frameworks like Responsible Scaling Policies and Preparedness Frameworks, outlining risk thresholds and mitigation strategies for increasingly capable AI systems. (Our response to NIST’s February RFI was largely an exploration of these policies, their benefits and drawbacks, and how they could be strengthened.)
Managing misuse risks in foundation models is of paramount importance given their broad applicability and potential for dual use. As these models become more powerful, they may inadvertently enable malicious actors to cause significant harm, including facilitating the development of weapons, enabling sophisticated cyber attacks, or generating harmful content. The challenge lies not only in identifying current risks but also in anticipating future threats that may emerge as AI capabilities expand.
NIST’s new guidance on “Managing Misuse Risk for Dual-Use Foundation Models” builds upon these industry initiatives, providing a more standardized and comprehensive approach to risk management. By focusing on objectives such as anticipating potential misuse, establishing clear risk thresholds, and implementing robust evaluation procedures, the guidance creates a framework that can be applied across the AI development ecosystem. This approach is crucial for ensuring that as AI technology advances, appropriate safeguards are in place to protect against potential misuse while still fostering innovation.
Strengths of the guidance
1. Comprehensive Documentation and Transparency
The guidance’s emphasis on thorough documentation and transparency represents a significant advancement in AI risk management. For every practice under every objective, the guidance indicates appropriate documentation; this approach is more thorough in advancing transparency than any comparable guidance to date. The creation of a paper trail for decision-making and risk evaluation is crucial for both internal governance and potential external audits.
The push for transparency extends to collaboration with external stakeholders. For instance, practice 6.4 recommends providing “safe harbors for third-party safety research,” including publishing “a clear vulnerability disclosure policy for model safety issues.” This openness to external scrutiny and feedback is essential for building trust and fostering collaborative problem-solving in AI safety. (FAS has published a legislative proposal calling for enshrining “safe harbor” protections for AI researchers into law.)
2. Lifecycle Approach to Risk Management
The guidance excels in its holistic approach to risk management, covering the entire lifecycle of foundation models from pre-development assessment through to post-deployment monitoring. This comprehensive approach is evident in the structure of the document itself, which follows a logical progression from anticipating risks (Objective 1) through to responding to misuse after deployment (Objective 6).
The guidance demonstrates a proactive stance by recommending risk assessment before model development. Practice 1.3 suggests to “Estimate the model’s capabilities of concern before it is developed…”, which helps anticipate and mitigate potential harms before they materialize. The framework for red team evaluations (Practice 4.2) is particularly robust, recommending independent external experts and suggesting ways to compensate for gaps between red teams and real threat actors. The guidance also emphasizes the importance of ongoing risk assessment. Practice 3.2 recommends to “Periodically revisit estimates of misuse risk stemming from model theft…” This acknowledgment of the dynamic nature of AI risks encourages continuous vigilance.
3. Strong Stance on Model Security and Risk Tolerance
The guidance takes a firm stance on model security and risk tolerance, particularly in Objective 3. It unequivocally states that models relying on confidentiality for misuse risk management should only be developed when theft risk is sufficiently mitigated. This emphasizes the critical importance of security in AI development, including considerations for insider threats (Practice 3.1).
The guidance also demonstrates a realistic approach to the challenges posed by different deployment strategies. In Practice 5.1, it notes, “For example, allowing fine-tuning via API can significantly limit options to prevent jailbreaking and sharing the model’s weights can significantly limit options to monitor for misuse (Practice 6.1) and respond to instances of misuse (Practice 6.2).” This candid discussion of the limitations of safety interventions for open weight foundation models is crucial for fostering realistic risk assessments.
Additionally, the guidance promotes a conservative approach to risk management. Practice 5.3 recommends to “Consider leaving a margin of safety between the estimated level of risk at the point of deployment and the organization’s risk tolerance.” It further suggests considering “a larger margin of safety to manage risks that are more severe or less certain.” This approach provides an extra layer of protection against unforeseen risks or rapid capability advancements, which is crucial given the uncertainties inherent in AI development.
These elements collectively demonstrate NIST’s commitment to promoting realistic and robust risk management practices that prioritize safety and security in AI development and deployment. However, while the NIST guidance demonstrates several important strengths, there are areas where it could be further improved to enhance its effectiveness in managing misuse risks for dual-use foundation models.
Areas for improvement
1. Need for a More Comprehensive Socio-technical Approach to Measuring Misuse Risk
Objective 4 of the guidance demonstrates a commendable effort to incorporate elements of a socio-technical approach in measuring misuse risk. The guidance recognizes the importance of considering both technical and social factors, emphasizes the use of red teams to assess potential misuse scenarios, and acknowledges the need to consider different levels of access and various threat actors. Furthermore, it highlights the importance of avoiding harm during the measurement process, which is crucial in a socio-technical framework.
However, the guidance falls short in fully embracing a comprehensive socio-technical perspective. While it touches on the importance of external experts, it does not sufficiently emphasize the value of diverse perspectives, particularly from individuals with lived experiences relevant to specific risk scenarios. The guidance also lacks a structured approach to exploring the full range of potential misuse scenarios across different contexts and risk areas. Finally, the guidance does not mention measuring absolute versus marginal risks (ie., how much total misuse risk a model poses in a specific context versus how much marginal risk it poses compared to existing tools). These gaps limit the effectiveness of the proposed risk measurement approach in capturing the full complexity of AI system interactions with human users and broader societal contexts.
Specific recommendations for improving socio-technical approach
The NIST guidance in Practice 1.3 suggests estimating model capabilities by comparison to existing models, but provides little direction on how to conduct these comparisons effectively. To improve this, NIST could incorporate the concept of “available affordances.” This concept emphasizes that an AI system’s risk profile depends not just on its absolute capabilities, but also on the environmental resources and opportunities for affecting the world that are available to it.
Additionally, Kapoor et al. (2024) emphasize the importance of assessing the marginal risk of open foundation models compared to existing technologies or closed models. This approach aligns with a comprehensive socio-technical perspective by considering not just the absolute capabilities of AI systems, but also how they interact with existing technological and social contexts. For instance, when evaluating cybersecurity risks, they suggest considering both the potential for open models to automate vulnerability detection and the existing landscape of cybersecurity tools and practices. This marginal risk framework helps to contextualize the impact of open foundation models within broader socio-technical systems, providing a more nuanced understanding of their potential benefits and risks.
NIST could recommend that organizations assess both the absolute capabilities of their AI systems and the affordances available to them in potential deployment contexts. This approach would provide a more comprehensive view of potential risks than simply comparing models in isolation. For instance, the guidance could suggest evaluating how a system’s capabilities might change when given access to different interfaces, actuators, or information sources.
Similarly, Weidinger et al. (2023) argue that while quantitative benchmarks are important, they are insufficient for comprehensive safety evaluation. They suggest complementing quantitative measures with qualitative assessments, particularly at the human interaction and systemic impact layers. NIST could enhance its guidance by providing more specific recommendations for integrating qualitative evaluation methods alongside quantitative benchmarks.
NIST should acknowledge potential implementation challenges with a comprehensive socio-technical approach. Organizations may struggle to create benchmarks that accurately reflect real-world misuse scenarios, particularly given the rapid evolution of AI capabilities and threat landscapes. Maintaining up-to-date benchmarks in a fast-paced field presents another ongoing challenge. Additionally, organizations may face difficulties in translating quantitative assessments into actionable risk management strategies, especially when dealing with novel or complex risks. NIST could enhance the guidance by providing strategies for navigating these challenges, such as suggesting collaborative industry efforts for benchmark development or offering frameworks for scalable testing approaches.
OpenAI‘s approach of using human participants to evaluate AI capabilities provides both a useful model for more comprehensive evaluation and an example of quantification challenges. While their evaluation attempted to quantify biological risk increase from AI access, they found that, as they put it, “Translating quantitative results into a meaningfully calibrated threshold for risk turns out to be difficult.” This underscores the need for more research on how to set meaningful thresholds and interpret quantitative results in the context of AI safety.
2. Inconsistencies in Risk Management Language
There are instances where the guidance uses varying levels of strength in its recommendations, particularly regarding when to halt or adjust development. For example, Practice 2.2 recommends to “Plan to adjust deployment or development strategies if misuse risks rise to unacceptable levels,” while Practice 3.2 uses stronger language, suggesting to “Adjust or halt further development until the risk of model theft is adequately managed.” This variation in language could lead to confusion and potentially weaker implementation of risk management strategies.
Furthermore, while the guidance emphasizes the importance of managing risks before deployment, it does not provide clear criteria for what constitutes “adequately managed” risk, particularly in the context of development rather than deployment. More consistent and specific language around these critical decision points would strengthen the guidance’s effectiveness in promoting responsible AI development.
Specific recommendations for strengthening language on halting development for unmanageable risks
To address the inconsistencies noted above, we suggest the following changes:
1. Standardize the language across the document to consistently use strong phrasing such as “Adjust or halt further development” when discussing responses to unacceptable levels of risk.
The current guidance uses varying levels of strength in its recommendations regarding development adjustments. For instance, Recommendation 4 of Practice 2.2 uses the phrase “Plan to adjust deployment or development strategies,” while Recommendation 3 of Practice 3.2 more strongly suggests to “Adjust or halt further development.” Consistent language would emphasize the critical nature of these decisions and reduce potential confusion or weak implementation of risk management strategies. This could be accomplished by changing the language of Practice 2.2, Recommendation 4 to “Plan to adjust or halt further development or deployment if misuse risks rise to unacceptable levels before adequate security and safeguards are available to manage risk.”
The need for stronger language regarding halting development is reflected both in NIST’s other work and in commitments that many frontier AI developers have publicly agreed to. For instance, the NIST AI Risk Management Framework, section 1.2.3 (Risk Prioritization), suggests: “In some cases where an AI system presents the highest risk – where negative impacts are imminent, severe harms are actually occurring, or catastrophic risks are present – development and deployment should cease in a safe manner until risks can be sufficiently mitigated.” Further, the AI Seoul Summit frontier AI safety commitments explicitly state that organizations should “set out explicit processes they intend to follow if their model or system poses risks that meet or exceed the pre-defined thresholds.” Importantly, these commitments go on to specify that “In the extreme, organisations commit not to develop or deploy a model or system at all, if mitigations cannot be applied to keep risks below the thresholds.”
2. Add to the list of transparency documentation for Practice 2.2 the following: “A decision-making framework for determining when risks have become truly unmanageable, considering factors like the severity of potential harm, the likelihood of the risk materializing, and the feasibility of mitigation strategies.”
While the current guidance emphasizes the importance of managing risks before deployment (e.g., in Practice 5.3), it does not provide clear criteria for what constitutes “adequately managed” risk, particularly in the context of development rather than deployment. A decision-making framework would provide clearer guidance on when to take the serious step of halting development. This addition would help prevent situations where development continues despite unacceptable risks due to a lack of clear stopping criteria. This recommendation aligns with the approach suggested by Alaga and Schuett (2023) in their paper on coordinated pausing, where they emphasize the need for clear thresholds and decision criteria to determine when AI development should be halted due to unacceptable risks.
3. Gaps in Model Development Safeguards
The guidance’s treatment of safeguards, particularly those related to model development, lacks sufficient detail to be practically useful. This is most evident in Appendix B, which lists example safeguards. While this appendix is a valuable addition, the safeguards related to model training (“Improve the model’s training”) are notably lacking in detail compared to the safeguards around model security and detecting misuse.
While the guidance covers many aspects of risk management comprehensively, especially model security, it does not provide enough specific recommendations for technical approaches to building safer models during the development phase. This gap could limit the practical utility of the guidance for AI developers seeking to implement safety measures from the earliest stages of model creation.
Specific recommendations for additional safeguards for model development
For some safeguards, we recommend that the misuse risk guidance explicitly reference relevant sections of NIST 600-1, the Generative Artificial Intelligence Profile. Specifically, the GAI profile offers more comprehensive guidance on data-related and monitoring safeguards. For instance, the profile emphasizes documenting training data curation policies (MP-4.1-004) and establishing policies for data collection, retention, and quality (MP-4.1-005), which are crucial for managing misuse risk from the earliest stages of development. Additionally, the profile suggests implementing real-time monitoring processes for analyzing generated content performance and trustworthiness characteristics (MG-3.2-006), which could significantly enhance ongoing risk management during development. These references to the GAI Profile on model development safeguards could take the form of an additional item in Appendix B, or be incorporated into the relevant sections earlier in the guidance.
Beyond pointing to the model development safeguards included in the GAI Profile, we also recommend expanding Appendix B to include further safeguards for the model development phase. Both the GAI Profile and the current misuse risk guidance lack specific recommendations for two key model development safeguards: iterative safety testing throughout development and staged development/release processes. Below are two proposed additions to Appendix B:
The proposed safeguard “Implement iterative safety testing throughout development” addresses the current guidance’s limited detail on model training and development safeguards. This approach aligns with Barrett, et al.’s AI Risk-Management Standards Profile for General-Purpose AI Systems and Foundation Models (the “GPAIS Profile”)’s emphasis on proactive and ongoing risk assessment. Specifically, the Profile recommends identifying “GPAIS impacts…and risks (including potential uses, misuses, and abuses), starting from an early AI lifecycle stage and repeatedly through new lifecycle phases or as new information becomes available” (Barrett et al., 2023, p. 19). The GPAIS Profile further suggests that for larger models, developers should “analyze, customize, reanalyze, customize differently, etc., then deploy and monitor” (Barrett et al., 2023, p. 19), where “analyze” encompasses probing, stress testing, and red teaming. This iterative safety testing would integrate safety considerations throughout development, aligning with the guidance’s emphasis on proactive risk management and anticipating potential misuse risk.
Similarly, the proposed safeguard “Establish a staged development and release process” addresses a significant gap in the current guidance. While Practice 5.1 discusses pre-deployment risk assessment, it lacks a structured approach to incrementally increasing model capabilities or access. Solaiman et al. (2023) propose a “gradient of release” framework for generative AI, a phased approach to model deployment that allows for iterative risk assessment and mitigation. This aligns with the guidance’s emphasis on ongoing risk management and could enhance the ‘margin of safety’ concept in Practice 5.3. Implementing such a staged process would introduce multiple risk assessment checkpoints throughout development and deployment, potentially improving safety outcomes.
Conclusion
NIST’s guidance on “Managing Misuse Risk for Dual-Use Foundation Models” represents a significant step forward in establishing robust practices for mitigating catastrophic risks associated with advanced AI systems. The document’s emphasis on comprehensive risk assessment, transparent decision-making, and proactive safeguards demonstrates a commendable commitment to responsible AI development. However, to more robustly contribute to risk mitigation, the guidance must evolve to address key challenges, including a stronger approach to measuring misuse risk, consistent language on halting development, and more detailed model development safeguards.
As the science of AI risk assessment advances, this guidance should be recursively updated to address emerging risks and incorporate new best practices. While voluntary guidance is crucial, it is important to recognize that it cannot replace the need for robust policy and regulation. A combination of industry best practices, government oversight, and international cooperation will be necessary to ensure the responsible development of high-risk AI systems.
We appreciate the opportunity to provide input on this important document. FAS stands ready to continue assisting NIST in refining and implementing this guidance, as well as in developing further resources for responsible AI development. We believe that close collaboration between government agencies, industry leaders, and civil society organizations is key to realizing the benefits of AI while effectively mitigating its most serious risks.
The U.S. Bioeconomy needs biomass, but what is it and how do we use it?
In the quest for sustainable energy and materials, biomass emerges as a key player, bridging the gap between the energy sector and the burgeoning U.S. and regional bioeconomies (microbioeconomies). Despite often being pigeonholed as fuel for energy production, biomass holds far-reaching potential that extends beyond combustion. Identifying sustainable biomass feedstocks that are easily accessible and consistent in their makeup could be a game-changer to help regions unlock their bioeconomy potential and support scientific innovations toward more environmentally sustainable materials and chemicals.
Biomass is defined as “any organic matter that is available on a renewable or recurring basis, including agricultural crops and trees, wood and wood residues, plants, algae, grasses, animal manure, municipal residues, and other residue materials” by the Foundation for Food & Agriculture Research (FFAR). Biomass has mainly been viewed by the public as a source of energy through burning or for chemical conversion into biofuels, encouraged by federal incentive programs, including those from the United States Department of Agriculture (USDA) and the Department of Energy (DOE). However, aside from burning or conversion for biofuel, biomass can undergo a complex process of chemical or biological breakdown and be transformed into various building block components that can be used for a wide range of biotechnology applications.
Once the biomass is broken down into its functional components it can be used as a feedstock, which is a “resource used as the basis for manufacturing another product. [Often], . . . a source of carbon to produce an array of chemicals.” For example, lignocellulosic biomass, plant or plant-based materials not used for food, can be hydrolyzed into sugars, which serve as precursors for bio-based chemicals and materials. This allows for new, environmentally sustainable chemicals for use in biotechnology and biomanufacturing applications, thus positioning biomass as a cornerstone resource of the U.S. bioeconomy. In addition to biochemical production, biomass, and feedstock are used in the bioeconomy in bioplastics and biomaterials. To push the U.S. bioeconomy toward environmental sustainability, it is critical to begin building programmatic and physical infrastructure to harness biomass, which is ultimately converted into feedstock using biotechnology applications and used in the biomanufacturing process to create everyday materials for the public.
Not All Biomass is Used for Energy, or Sustainably Produced
While biomass holds promise as a renewable energy source, not all biomass is used for energy, and not all of it is sustainable. Corn is a consistent poster child of the biomass and biofuel industry as a sustainable way to power combustion engines. Yet, the growth of corn relies heavily on the extensive use of fertilizers and pesticides, which can lead to soil erosion, water pollution, and habitat degradation. Depending on how a company conducts its Life Cycle Assessment and Carbon Intensity of its supplies, corn may not truly represent an environmentally sustainable biomass solution.
However, it is tough to beat the productivity of corn and its ability to be used for various biomass and atmospheric carbon capture applications. For example, corn stover, the byproduct stalks and leaves leftover from harvest, can be broken down into biochar for reuse in soil nutrient replenishment and is excellent for carbon sequestration from the atmosphere. Carbon sequestration is the “storage of carbon dioxide (CO2) after it is captured from industrial facilities and power plants or removed directly from the atmosphere”. One California-based company, Charm, is harvesting the leftover corn leaves, husks, and stalks and breaking them down into bio-oil which is stored deep underground in EPA-regulated wells. This bio-oil now contains sequestered carbon from corn crops and locks it away for thousands of years thus allowing a simple, and effective, way to use farm waste materials as carbon sequestration machines. This corn stover may otherwise have been burned or left to rot, releasing its carbon into the atmosphere.
“Crops can serve as a carbon sink, capturing CO2 from the atmosphere. During CO2 fermentation, some of this recycled CO2 can be harnessed for various applications, such as carbon capture and storage, where it can be compressed or stored underground. The convergence of lower input costs, improvement of ethanol production, and CO2 management showcases a sector poised to contribute to a sustainable and prosperous future.”
While corn remains the leader of the biomass pack for usage in atmospheric carbon capture, it is necessary to begin broadening the biomass portfolio into other crops, both conventional and not, that can offer similar carbon capture and biomass benefits for industrial energy and feedstock use. The introduction of more sustainable biomass inputs, like waste hulls from almond crops, winter oilseed crops, or macro/microalgae, might be the key to introducing options for industries to use for their biomanufacturing processes. To make the U.S. bioeconomy more environmentally sustainable, it will be necessary to prioritize the use of biomass that is sustainable for the creation of bio-based products. To achieve this, policymakers and industry leaders can come together to understand the physical infrastructure needed to support the processing and utilization of sustainable biomass.
Biomass in Carbon Accounting
A contentious issue in biomass utilization revolves around carbon accounting, particularly concerning the differentiation between biogenic and fossil fuel carbon. Biogenic carbon originates from recently living organisms and is part of the natural carbon cycle, while fossil fuel carbon is derived from the remains of extinct carbon-rich plants and animals that decomposed as they were compressed and heated in the ground. When burned, this fossil fuel carbon is released into the atmosphere, contributing to greenhouse gas emissions. The current carbon accounting frameworks often conflate these distinctions, leading to misconceptions and controversies surrounding biomass utilization’s carbon neutrality claims. Addressing this ambiguity is crucial for aligning policy frameworks with scientific realities and ensuring informed decision-making in biomass utilization. As microbioeconomies grow, any confusion about biogenic versus fossil fuel carbon could become another barrier to entry for burgeoning bioeconomy opportunities.
Environmental and Economic Impacts
All across rural America, local economic developers are seeing more biomass conversion projects come to their communities, which offers the chance to boost economic revenues from turning biomass into energy, fuel, or feedstock and creates a broad spectrum of jobs for the area. To capitalize on this, increased bioliteracy on how growing biomass could offer additional financial support for farmers, provide energy to heat communities, and become feedstock for the biotechnology and biomanufacturing industry is critical. The more we activate and connect parts of America that are not located in existing high-density technology hubs, the better prepared these communities will be when biomass projects look to settle in those places. For example, woody biomass was emphasized throughout the DOE 2023 Billion Ton report as an important biomass source for fuel and energy production, yet the process of getting the timber and woody biomass out of the forest and into processing facilities is slow to launch due to concerns over environmental impacts.
While environmental impacts are valid and of great concern in some ecosystems around the U.S., harvesting wood waste and timber in areas that are primed for increased forest fire risk might be a sustainable option for protecting forest ecosystems while also benefiting the community for energy and heat concerns. The USDA Wildland Fire Mitigation and Management Commission discussed the need for further research into forest biomass to understand how it can generate profit for communities with otherwise waste materials while also mitigating fire risk. One recommendation stated the need for “Increase[d] resources for programs to help private landowners dispose of woody biomass”. Although several programs assist landowners in this effort, there are still significant expenses involved. These costs may discourage landowners from conducting fuel reduction activities, leading them to either burn the material, which can harm air quality, or leave it on the land, potentially worsening wildfire severity in case of an outbreak. There’s a necessity for initiatives supporting the disposal of biomass, including wood chipping, hauling, and its utilization. These initiatives could receive support from USDA Rural Development and should explore ways to encourage landowners to sustainably harvest their woody biomass for both financial incentives and for reducing wildfire risk.
Billion Ton Report Recommendations
According to the 2023 DOE Billion-Ton Report, the U.S. used 342 million tons of biomass for energy and bio-based chemicals in 2022. The top biomass source for biofuels is corn, with the U.S. producing nearly 150 tons per year of corn that is converted to ethanol. Whereas ~140 million tons of forestry/wood and wood waste (woody biomass) are used for heat and power purposes. However, many other types of biomass exist and are used for various purposes including transportation or industrial and electrical power. Below is an abbreviated list, based on the Billion-Ton Report, of common biomass examples and some of their uses.
The recent Billion Ton report makes it clear that the U.S. has plenty of available biomass for use in the production of biofuel, heat/energy, and bio-based products, and that further utilization of biomass in these applications and in biotechnology and biomanufacturing industries could be a way forward to mitigate climate change and improve sustainability of the U.S. bioeconomy. To change the mindset of biomass as more than corn grown for biofuel, it will take a concerted effort by the federal agencies involved in funding biomass use projects, like the DOE, USDA, National Science Foundation, and the Department of Defense, to communicate to farmers that growing biomass can be profitable. It will also take a joint effort from the federal government and local governments to build pilot and commercial scale facilities to begin processing diverse biomass.
Overall, there is immense promise in connecting biomass growers, processors, and bio-powered industries. It allows the players in the U.S. bioeconomy to think critically about their waste outputs and how to harness biomass as the key to unlocking a future where all communities, be they rural or urban, benefit from our national bioeconomy. You can learn more about biomass use in biotechnology and biomanufacturing at our upcoming webinar May 1st at 10 AM ET.
Working with academics: A primer for U.S. government agencies
Collaboration between federal agencies and academic researchers is an important tool for public policy. By facilitating the exchange of knowledge, ideas, and talent, these partnerships can help address pressing societal challenges. But because it is rarely in either party’s job description to conduct outreach and build relationships with the other, many important dynamics are often hidden from view. This primer provides an initial set of questions and topics for agencies to consider when exploring academic partnership.
Why should agencies consider working with academics?
- Accessing the frontier of knowledge: Academics are at the forefront of their fields, and their insights can provide fresh perspectives on agency work.
- Leveraging innovative methods: From data collection to analysis, academics may have access to the new technologies and approaches that can enhance governmental efforts.
- Enhancing credibility: By incorporating research and external expertise, policy decisions gain legitimacy and trust, and align with evidence-based policy guidelines.
- Generating new insights: Collaboration between agencies and outside researchers can lead to discoveries that advance both knowledge and practice..
- Developing human capital: Collaboration can enhance the skills of both public servants and academics, creating a more robust workforce and potentially leading to longer-term talent exchange.
What considerations may arise when working with academics?
- Designing collaborative relationships that are targeted to the incentives of both the agency and the academic partners;
- Navigating different rules and regulations that may impact academic-government collaboration, e.g. rules on external advisory groups, university guidelines, and data/information confidentiality;
- Understanding the different structures and mechanisms that enable academic-government collaboration, such as sabbaticals, fellowships, consultancies, grants, or contracts;
- Identifying and approaching the right academics for different projects and needs.
Academic faculty progress through different stages of professorship — typically assistant, associate, and full — that affect their research and teaching expectations and opportunities. Assistant professors are tenure-track faculty who need to secure funding, publish papers, and meet the standards for tenure. Associate professors have job security and academic freedom, but also more mentoring and leadership responsibilities; associate professors are typically tenured, though this is not always the case. Full professors are senior faculty who have a high reputation and recognition in their field, but also more demands for service and supervision. The nature of agency-academic collaboration may depend on the seniority of the academic. For example, junior faculty may be more available to work with agencies, but primarily in contexts that will lead to traditional academic outputs; while senior faculty may be more selective, but their academic freedom will allow for less formal and more impact-oriented work.
Soft money positions are those that depend largely or entirely on external funding sources, typically research grants, to support the salary and expenses of the faculty. Hard money positions are those that are supported by the academic institution’s central funds, typically tied to more explicit (and more expansive) expectations for teaching and service than soft-money positions. Faculty in soft money positions may face more pressure to secure funding for research, while faculty in hard money positions may have more autonomy in their research agenda but more competing academic activities. Federal agencies should be aware of the funding situation of the academic faculty they collaborate with, as it may affect their incentives and expectations for agency engagement.
A sabbatical is a period of leave from regular academic duties, usually for one or two semesters, that allows faculty to pursue an intensive and unstructured scope of work — this can include research in their own field or others, as well as external engagements or tours of service with non-academic institutions . Faculty accrue sabbatical credits based on their length and type of service at the university, and may apply for a sabbatical once they have enough credits. The amount of salary received during a sabbatical depends on the number of credits and the duration of the leave. Federal agencies may benefit from collaborating with academic faculty who are on sabbatical, as they may have more time and interest to devote to impact-focused work.
Consulting limits & outside activity limits are policies that regulate the amount of time that academic faculty can spend on professional activities outside their university employment. These policies are intended to prevent conflicts of commitment or interest that may interfere with the faculty’s primary obligations to the university, such as teaching, research, and service, and the specific limits vary by university. Federal agencies may need to consider these limits when engaging academic faculty in ongoing or high-commitment collaborations.
Some academic faculty are paid on a 9-month basis, meaning that they receive their annual salary over nine months and have the option to supplement their income with external funding or other activities during the summer months. Other faculty are paid on a 12-month basis, meaning that they receive their annual salary over twelve months and have less flexibility to pursue outside opportunities. Federal agencies may need to consider the salary structure of the academic faculty they work with, as it may affect their availability to engage on projects and the optimal timing with which they can do so.
Informal advising
Advisory relationships consist of an academic providing occasional or periodic guidance to a federal agency on a specific topic or issue, without being formally contracted or compensated. This type of collaboration can be useful for agencies that need access to cutting-edge expertise or perspectives, but do not have a formal deliverable in mind.
Academic considerations
- Career stage: Informal advising can be done by faculty at any level of seniority, as long as they have relevant knowledge and experience. However, junior faculty may be more cautious about engaging in informal advising, as it may not count towards their tenure or promotion criteria. Senior faculty, who have established expertise and secured tenure, may be more willing to engage in impact-focused advisory relationships.
- Incentives: Advisory relationships can offer some benefits for faculty regardless of career stage, such as expanding their network, increasing their visibility, and influencing policy or practice. Informal advising can also stimulate new research questions, and create opportunities for future access to data or resources. Some agencies may also acknowledge the contributions of academic advisors in their reports or publications, which may enhance researchers’ academic reputation.
- Conflicts of interest: Informal advising may pose potential conflicts of interest or commitment for faculty, especially if they have other sources of funding or collaboration related to the same topic or issue. Faculty may need to consult with their department chair or dean before engaging in formal conversations, and should also avoid any activities that may compromise their objectivity, integrity, or judgment in conducting or reporting their university research.
- Timing: Faculty on 9-month salaries might be more willing/able to engage during summer months, when they have minimal teaching requirements and are focused on research and impact outputs.
Regulatory & structural considerations
- Contracting: An advisory relationship may not require a formal agreement or contract between the agency and the academic. For some topics or agencies, however, it may require a non-disclosure agreement or consulting agreement if the agency wants to ensure the exclusivity or confidentiality of the conversation.
- Advisory committee rules: Depending on the scope and scale of the academic engagement, agencies should be sure to abide by Federal Advisory Committee Act regulations. With informal one-on-one conversations that are focused on education and knowledge exchange, this is unlikely to be an issue.
- University approval: An NDA or consulting agreement may require approval from the university’s office of sponsored programs or office of technology transfer before engaging in informal advising. These offices may review and approve the agreement between the agency and the academic institution, ensuring compliance with university policies and regulations.
- Compensation: Informal advising typically does not involve compensation for the academic, but it may involve reimbursement for travel or other expenses related to the advisory role. This work is unlikely to count towards the consulting limit for faculty, but it may count towards the outside professional activity limit, depending on the nature and frequency of the advising.
Federal agencies and academic institutions are subject to various laws and regulations that affect their research collaboration, and the ownership and use of the research outputs. Key legislation includes the Federal Advisory Committee Act (FACA), which governs advisory committees and ensures transparency and accountability; the Federal Acquisition Regulation (FAR), which controls the acquisition of supplies and services with appropriated funds; and the Federal Grant and Cooperative Agreement Act (FGCAA), which provides criteria for distinguishing between grants, cooperative agreements, and contracts. Agencies should ensure that collaborations are structured in accordance with these and other laws.
Federal agencies may use various contracting mechanisms to engage researchers from non-federal entities in collaborative roles. These mechanisms include the IPA Mobility Program, which allows the temporary assignment of personnel between federal and non-federal organizations; the Experts & Consultants authority, which allows the appointment of qualified experts and consultants to positions that require only intermittent and/or temporary employment; and Cooperative Research and Development Agreements (CRADAs), which allow agencies to enter into collaborative agreements with non-federal partners to conduct research and development projects of mutual interest.
Offices of Sponsored Programs are units within universities that provide administrative support and oversight for externally funded research projects. OSPs are responsible for reviewing and approving proposals, negotiating and accepting awards, ensuring compliance with sponsor and university policies and regulations, and managing post-award activities such as reporting, invoicing, and auditing. Federal agencies typically interact with OSPs as the authorized representative of the university in matters related to sponsored research.
When engaging with academics, federal agencies may use NDAs to safeguard sensitive information. Agencies each have their own rules and procedures for using and enforcing NDAs involving their grantees and contractors. These rules and procedures vary, but generally require researchers to sign an NDA outlining rights and obligations relating to classified information, data, and research findings shared during collaborations.
Study groups
A study group is a type of collaboration where an academic participates in a group of experts convened by a federal agency to conduct analysis or education on a specific topic or issue. The study group may produce a report or hold meetings to present their findings to the agency or other stakeholders. This type of collaboration can be useful for agencies that need to gather evidence or insights from multiple sources and disciplines with expertise relevant to their work.
Academic considerations
- Career stage: Faculty at any level of seniority can participate in a study group, but junior faculty may be more selective about joining, as they have limited time and resources to devote to activities that may not count towards their tenure or promotion criteria. Senior faculty may be more willing to join a study group, as they have more established expertise and reputation, and may seek to have more impact on policy or practice.
- Soft vs. hard money: Faculty in soft money positions, where their salary and research expenses depend largely on external funding sources, may be more interested in joining a study group if it provides funding or other resources that support their research. Faculty in hard money positions, where their salary and research expenses are supported by institutional funds, may be less motivated by funding, but more by the recognition and impact that comes from participating.
- Incentives: Study groups can offer some benefits for faculty, such as expanding their network, increasing their visibility, and influencing policy or practice. Study groups can also stimulate new research ideas or questions for faculty, and create opportunities for future access to data or resources. Some study groups may also result in publication of output or other forms of recognition (e.g., speaking engagements) that may enhance the academic reputation of the faculty.
- Conflicts of interest: Study groups may pose potential conflicts of interest or commitment for academics, especially if they have other sources of funding related to the same topic. Faculty may also be cautious about entering into more formal agreements if it may impact their ability to apply for & receive federal research funding in the future. Agencies should be aware of any such impacts of academic participation, and faculty should be encouraged to consult with their department chair or dean before joining a study group.
Regulatory & structural considerations
- Contracting and compensation: The optimal contracting mechanism for a study group will depend on the agency, the topic, and the planned output of the group. Some possible contracting mechanisms are extramural grants, service contracts, cooperative agreements, or memoranda of understanding. The mechanism will determine the amount and type of compensation that participants (or the organizing body) receive, and could include salary support, travel reimbursement, honoraria, or overhead costs.
- Advisory committee rules: When setting up study groups, agencies should work carefully to ensure that the structure abides by Federal Advisory Committee Act regulations. To ensure that study groups are distinct from Advisory Committees , these groups should be limited in size, and should be tasked with providing knowledge, research, and education — rather than specific programmatic guidance — to agency partners.
- University approval: Depending on the contracting mechanism and the compensation involved, academic participants may need to obtain approval from their university’s office of sponsored programs or office of technology transfer before joining a study group. These offices may review the terms and conditions of the agreement between the agency and the academic institution, such as the scope of work, the budget, and the reporting requirements.
Case study
In 2022, the National Science Foundation (NSF) awarded the National Bureau of Economic Research (NBER) a grant to create the EAGER: Place-Based Innovation Policy Study Group. This group, led by two economists with expertise in entrepreneurship, innovation, and regional development — Jorge Guzman from Columbia University and Scott Stern from MIT — aimed to provide “timely insight for the NSF Regional Innovation Engines program.” During Fall 2022, the group met regularly with NSF staff to i) provide an assessment of the “state of knowledge” of place-based innovation ecosystems, ii) identify the insights of this research to inform NSF staff on design of their policies, and iii) surface potential means by which to measure and evaluate place-based innovation ecosystems on a rigorous and ongoing basis. Several of the academic leads then completed a paper synthesizing the opportunities and design considerations of the regional innovation engine model, based on the collaborative exploration and insights developed throughout the year. In this case, the study group was structured as a grant, with funding provided to the organizing institution (NBER) for personnel and convening costs. Yet other approaches are possible; for example, NSF recently launched a broader study group with the Institute for Progress, which is structured as a no-cost Other Transaction Authority contract.
Collaborative research
Active collaboration covers scenarios in which an academic engages in joint research with a federal agency, either as a co-investigator, a subrecipient, a contractor, or a consultant. This type of collaboration can be useful for agencies that need to leverage the expertise, facilities, data, or networks of academics to conduct research that advances their mission, goals, or priorities.
Academic considerations
- Career stage: Collaborative research is likely to be attractive to junior faculty, who are seeking opportunities to access data that might not be otherwise available, and to foster new relationships with partners. This is particularly true if there is a commitment that findings or evaluations will be publishable, and if the collaboration does not interfere with teaching and service obligations. Collaborative projects are also likely to be of interest to senior faculty — if work aligns with their established research agenda — and publication of findings may be (slightly) less of a requirement.
- Soft vs. hard money: Researchers on hard money contracts, where their salary and research expenses are supported by institutional funds, may be more motivated by the opportunity to use and publish internal data from the agency. Researchers on soft money contracts, where their salary and research expenses depend largely on external funding sources, may be more motivated by the availability of grants and financial support from the agency.
- Timing: Depending on the scope of the collaboration, and the availability of funding for the researcher, efforts could be targeted for academics’ summer months or their sabbaticals. Alternatively, collaborative research could be integrated into the regular academic year, as part of the researcher’s ongoing research activities.
- Incentives: As mentioned above, collaborative research can offer some benefits for faculty, such as access to data and information, publication opportunities, funding sources, and partnership networks. Collaborative research can also provide faculty with more direct and immediate impact on policy or practice, as well as recognition from the agency and stakeholders (and, perhaps to a lesser extent, the academic community).
Regulatory & structural considerations
- Contracting: The contracting requirements for collaborative research will vary greatly depending on the structure and scope of the collaboration, the partnering agency, and the use of internal government data or resources. Readers are encouraged to explore agency-specific guidance when considering the ideal mechanism for a given project. Some possible contracting mechanisms are extramural grants, service contracts, or cooperative research and development agreements. Each mechanism has different terms and conditions regarding the scope of work, the budget, the intellectual property rights, the reporting requirements, and the oversight responsibilities.
- Regulatory compliance: Collaborative research involving both governmental and non-governmental partners will require compliance with various laws, regulations, and authorities. These include but are not limited to:
- Federal Acquisition Regulation (FAR), which establishes the policies and procedures for acquiring supplies and services with appropriated funds;
- Federal Grant and Cooperative Agreement Act (FGCAA), which provides criteria for determining whether to use a grant or a cooperative agreement to provide assistance to non-federal entities;
- Other Transaction Authority (OTA), a contracting mechanism that provides (most) agencies with the ability to enter into flexible research & development agreements that are not subject to the regulations on standard contracts, grants, or cooperative agreements
- OMB’s Uniform Guidance, which set forth the administrative requirements, cost principles, and audit requirements for federal awards
- Bayh-Dole Act, which allows academic institutions to retain title to inventions made with federal funding, subject to certain conditions and obligations.
- Collaborative research may also require compliance with ethical standards and guidelines for human subjects research, such as the Belmont Report and the Common Rule.
Case studies
External collaboration between academic researchers and government agencies has repeatedly proven fruitful for both parties. For example, in May 2020, the Rhode Island Department of Health partnered with researchers at Brown University’s Policy Lab to conduct a randomized controlled trial evaluating the effectiveness of different letter designs in encouraging COVID-19 testing. This study identified design principles that improved uptake of testing by 25–60% without increasing cost, and led to follow-on collaborations between the institutions. The North Carolina Office of Strategic Partnerships provides a prime example of how government agencies can take steps to facilitate these collaborations. The office recently launched the North Carolina Project Portal, which serves as a platform for the agency to share their research needs, and for external partners — including academics — to express interest in collaborating. Researchers are encouraged to contact the relevant project leads, who then assess interested parties on their expertise and capacity, extend an offer for a formal research partnership, and initiate the project.
Short-term placements
Short-term placements allow for an academic researcher to work at a federal agency for a limited period of time (typically one year or less), either as a fellow, a scholar, a detailee, or a special government employee. This type of collaboration can be useful for agencies that need to fill temporary gaps in expertise, capacity, or leadership, or to foster cross-sector exchange and learning.
Academic considerations
- Career stage: Short-term placements may be more appealing to senior faculty, who have more established and impact-focused research agendas, and who may seek to influence policy or practice at the highest levels. Junior faculty may be less interested in placements, particularly if they are still progressing towards tenure — unless the position offers opportunities for publication, funding, or recognition that are relevant to their tenure or promotion criteria.
- Soft vs. hard money: Faculty in soft money positions may face more challenges in arranging short-term placement if they have ongoing grants or labs to maintain; but placements where external resources are available (e.g., established fellowships), could be an attractive option when ongoing commitments are manageable. The impact of hard money will depend largely on the type of placement and the expectations for whether institutional support or external resources will cover a faculty member’s time away from the university.
- Timing: Sabbaticals are an ideal time for short-term placements, as they allow faculty to pursue intensive research or external engagement, without interfering with their regular academic duties. However, convincing faculty to use their sabbaticals for short-term placement may require a longer discovery and recruitment period, as well as a strong value proposition that highlights the benefits and incentives of the collaboration. Because most faculty are subject to the academic calendar, June and January tend to be ideal start dates for this type of engagement.
- Incentives: Short-term placements can offer benefits for academics, such as having an impact on policy or practice, gaining access to new data or research areas, and building relationships with agency officials and other stakeholders. However, short-term placements can also involve some costs and/or risks for participating faculty, including logistical complications, relocation, confidentiality constraints, and publication restrictions.
Regulatory & structural considerations
- Contracting: Short-term placements require a formal agreement or contract between the agency and the academic. There are several contracting & hiring mechanisms that can facilitate short-term placement, such as the Intergovernmental Personnel Act (IPA) Mobility Program, the Experts & Consultants authority, Schedule A(r), or the Special Government Employee (SGE) designation. Each mechanism has different eligibility criteria, terms and conditions, and administrative processes. Alternatively, many fellowship programs already exist within agencies or through outside organizations, which can streamline the process and handle logistics on behalf of both the academic institution and the agency.
- Compensation: The payment of salary support, travel, overhead, etc. will depend on the contracting mechanism and the agreement between the agency and the academic institution. Costs are generally covered by the organization that is expected to benefit most from the placement, which is often the agency itself; though some authorities for facilitating cross-sector exchange (e.g., the IPA program and Experts and Consultants authority) allow research institutions to cost-share or cover the expense of an expert’s compensation when appropriate. External fellowship programs also occasionally provide external resources to cover costs.
- Role and expectations: Placements, more so than more informal collaborations, require clear communication and understanding of the role and expectations. The academic should also be prepared to adapt to the agency’s norms and processes, which will differ from those in academia, and to perform work that may not reflect their typical contribution. The academic should also be aware of their rights and obligations as a federal employee or contractor.
- Confidentiality: Placements may involve access to confidential or sensitive information from the agency, such as classified data or personal information. Academics will likely be required to sign a non-disclosure agreement (NDA) that defines the scope and terms of confidentiality, and will often be subject to security clearance or background check procedures before entering their role.
Case studies
Various programs exist throughout government to facilitate short-term rotations of outside experts into federal agencies and offices. One of the most well-known examples is the American Association for the Advancement of Science (AAAS) Science & Technology Policy Fellowship (STPF) program, which places scientists and engineers from various disciplines and career stages in federal agencies for one year to apply their scientific knowledge and skills to inform policy making and implementation. The Schedule A(r) hiring authority tends to be well-suited for these kinds of fellowships; it is used, for example, by the Bureau of Economic Analysis to bring on early career fellows through the American Economic Association’s Summer Economics Fellows Program. In some circumstances, outside experts are brought into government “on loan” from their home institution to do a tour of service in a federal office or agency; in these cases, the IPA program can be a useful mechanism. IPAs are used by the National Science Foundation (NSF) in its Rotator Program, which brings outside scientists into the agency to serve as temporary Program Directors and bring cutting-edge knowledge to the agency’s grantmaking and priority-setting. IPA is also used for more ad-hoc talent needs; for example, the Office of Evaluation Sciences (OES) at GSA often uses it to bring in fellows and academic affiliates.
Long-term rotations
Long-term rotations allow an academic to work at a federal agency for an extended period of time (more than one year), either as a fellow, a scholar, a detailee, or a special government employee. This type of collaboration can be useful for agencies that need to recruit and retain expertise, capacity, or leadership in areas that are critical to their mission, goals, or priorities.
Academic considerations
- Career stage: Long-term rotations may be more feasible for senior faculty, who have more experience in their discipline and are likely to have more flexibility and support from their institutions to take a leave of absence. Junior faculty may face more barriers and risks in pursuing long-term rotations, such as losing momentum in their research productivity, missing opportunities for tenure or promotion, or losing connection with their academic peers and mentors.
- Soft vs. hard money: Faculty in soft money positions may have more ability to seek longer-term rotations, as the provision of external support is more in line with their institutions’ expectations. Faculty in hard money positions may face difficulties seeking long-term rotations, as institutional provision of resources comes with expectations for teaching and service that administrations may be wary of pausing for extended periods of time.
- Timing: Long-term rotations require careful planning and coordination with the academic institution and the federal agency, as it may involve significant changes in the academic’s schedule, workload, and responsibilities. These rotations may be easier to arrange during sabbaticals or other periods of leave from the academic institution, but will often still require approval from the institution’s administration. Because most faculty are subject to the academic calendar, June and January tend to be ideal start dates for sabbatical or secondment engagements.
- Incentives: Long-term rotations offer an opportunity for faculty to gain valuable experience and insight into the impact frontier — both in terms of policy and practice — of their field or discipline. These experiences can yield new skills or competencies that enhance their academic performance or career advancement, can help academics build strong relationships and networks with agency officials and other stakeholders, and can provide a lasting impact on public good. However, long-term roles involve challenges for faculty, such as adjusting to a different organizational structure, balancing expectations from both the agency and the academy, and transitioning back into academic work and productivity following the rotation.
Regulatory & structural considerations
- Regulatory and structural considerations — including contracting, compensation, and expectations — are similar to those of short-term placements, and tend to involve the same mechanisms and processes.
- The desired length of a long-term rotation will affect how agencies select and apply the appropriate mechanism. For example, IPA assignments are initially made for up to two years, and can then be extended for another two years when relevant — yielding a maximum continuous term length of four years.
- Longer time frames typically require additional structural considerations. Specifically, extensions of mechanisms like the IPA may be required, or more formal governmental employment may be prioritized at the outset. Given that these types of placements are often bespoke, these considerations should be explored in depth for the agency’s specific needs and regulatory context.
Case study
One example of a long-term rotation that draws experts from academia into federal agency work is the Advanced Research Projects Agency (ARPA) Program Manager (PM) role. ARPA PMs — across DARPA, IARPA, ARPA-E, and now ARPA-H — are responsible for leading high-risk, high-reward research programs, and have considerable autonomy and authority in defining their research vision, selecting research performers, managing their research budget, and overseeing their research outcomes. PMs are typically recruited from academia, industry, or government for a term of three to five years, and are expected to return to their academic institutions or pursue other career opportunities after their term at the agency. PMs coming from academia or nonprofit organizations are often brought on through the IPA mobility program, and some entities also have unique term-limited, hiring authorities for this purpose. PMs can also be hired as full government employees; this mechanism is primarily used for candidates coming from the private sector.
Unlocking American Competitiveness: Understanding the Reshaped Visa Policies under the AI Executive Order
The looming competition for global talent has brought forth a necessity to evaluate and update the policies concerning international visa holders in the United States. Recognizing this, President Biden has directed various agencies to consider policy changes aimed at improving processes and conditions for legal foreign workers, students, researchers, and scholars through the upcoming AI Executive Order (EO). The EO recognizes that attracting global talent is vital for continued U.S. economic growth and enhancing competitiveness.
Here we offer a comprehensive analysis of potential impacts and beneficiaries under several key provisions brought to attention by this EO. The provisions considered herein are categorized under six paramount categories: domestic revalidation for J-1 and F-1 Visas; modernization of H-1B Visa Rules; updates to J-1 Exchange Visitor Skills List; the introduction of Global AI Talent Attraction Program; issuing an RFI to seek updates to DOL’s Schedule A; and policy manual updates for O-1A, EB-1, EB-2 and International Entrepreneur Rule. Each policy change carries the potential to advance America’s ability to draw in international experts that hugely contribute to our innovation-driven economy.
Domestic Revalidation for J-1 and F-1 Visas
The EO directive on expanding domestic revalidation for J-1 research scholars and F-1 STEM visa students simplifies and streamlines the renewal process for a large number of visa holders.
There are currently approximately 900,000 international students in the US, nearly half of whom are enrolled in STEM fields. This policy change has the potential to impact almost 450,000 international students, including those who partake in optional practical training (OPT). The group of affected individuals consists greatly of scholars with advanced degrees as nearly half of all STEM PhDs are awarded to international students.
One of the significant benefits offered by this EO directive is the reduction in processing times and associated costs. In addition, it improves convenience for these students and scholars. For example, many among the several hundreds of thousands of STEM students will no longer be obligated to spend excessive amounts on travel to their home country for a 10-minute interview at an Embassy.
Aside from saving costs, this directive also allows students to attend international conferences more easily and enjoy hassle-free travel without being worried about having to spend a month away from their vital research waiting for visa renewal back home.
Expanding domestic revalidation to F and J visa holders was initially suggested by the Secure Borders and Open Doors Advisory Committee in January 2008, indicating its long-standing relevance and importance. By implementing it, we not only enhance efficiency but also foster a more supportive environment for international students contributing significantly to our scientific research community.
Modernization of H-1B Visa Rules
The EO directive to update the rules surrounding H-1B visas would positively impact the over 500k H-1B visa holders. The Department of Homeland Security recently released a Notice of Proposed Rulemaking to reform the H-1B visa rules. It would allow these visa holders to easily transition into new jobs, have more predictability and certainty in the renewal process and more flexibility or better opportunities to apply their skills, and allow entrepreneurs to more effectively access the H-1B visa. Last year, 206,002 initial and continuing H-1Bs were issued. The new rules would apply to similar numbers in FY2025. But what amplifies this modification’s impact is its potential crossover with EB-1 and EB-2 petitioners waiting on green cards—currently at over 400k petitions.
Additionally, the modernization would address the issue of multiple applications per applicant. This has been a controversial issue in the H-1B visa program as companies would often file multiple registrations for the same employee, thus increasing the exhaustion rate of yearly quotas, thereby reducing chances for others. This modernization could potentially address this problem by introducing clear rules or restrictions on the number of applications per applicant. USCIS recently launched fraud investigations into several companies engaging in this practice.
Updates to J-1 Exchange Visitor Skills List
The EO directive to revamp the skills list will synchronize with evolving global labor market needs. Nearly 37k of the J-1s issued in 2022 went to professors, research scholars and short term scholars, hailing from mainly China and India (nearly 40% of all). Therefore, this update not only expands opportunities available to these participants but also tackles critical skill gaps within fields like AI in the U.S. Once the J-1 skills list is updated to meet the realities of the global labor market today, it will allow thousands of additional high skilled J-1 visa holders to apply for other visa categories immediately, without spending 2-years in their countries of origin, as laid out in this recent brief by the Federation of American Scientists.
Global AI Talent Attraction Program
Recognizing AI talent is global, the EO directive on using the State Department’s public diplomacy function becomes strategically important. By hosting overseas events to appeal to such crucial talent bases abroad, we can effectively fuel the U.S. tech industry’s unmet demand that has seen a steep incline over recent years. While 59% of the top-tier AI researchers work in the U.S., only 20% of them received their undergraduate degree in the U.S. Only 35% of the most elite (top 0.5%) of AI researchers received their undergraduate degree in the U.S., but 65% of them work in the U.S. The establishment of a Global AI Talent Attraction program by the State Department will double down on this uniquely American advantage.
Schedule A Update & DOL’s RFI
Schedule A is a list of occupations for which the U.S. Department of Labor (DOL) has determined there are not sufficient U.S. workers who are able, willing, qualified and available. Foreign workers in these occupations can therefore have a faster process to receive a Green Card because the employer does not need to go through the Labor Certification process. Schedule A Group I was created in 1965 and has remained unchanged since 1991. If the DOL were to update Schedule A, it would impact foreign workers and employers in several ways depending on how the list changes:
- Adding Occupations: If new occupations are added, it could speed up the immigration process for some foreign workers whose profession has been included. It simultaneously benefits the employers who are struggling to fill those roles with U.S. workers.
- Removing Occupations: Conversely, if occupations are removed from Schedule A, foreign workers in those fields may face longer delays and increased difficulty in obtaining a Green Card as their employers would need to undertake the Labor Certification process to demonstrate that there are not enough qualified U.S. workers for the job.
- Changes Related to Geographical Locations: An update could also affect which geographic areas of labor shortages are recognized.
- Dealing with Dynamic Job Market: As job markets change rapidly with technological developments, updated Schedule A could better reflect current labor market conditions and labor shortages in certain industries or regions better.
Foreign workers with occupations that are on Schedule A do not have to go through the PERM (Program Electronic Review Management) labor certification process, a process that otherwise takes on average 300 days to complete. This is because Schedule A lists occupations for which the Department of Labor has already determined there are not sufficient U.S. workers who are able, willing, qualified and available. An updated Schedule A could cut PERM applications filed significantly down from current high volumes (over 86,000 already filed by the end of FY23 Q3). While the EO only calls for an RFI seeking information on the Schedule A List, this is a critical first step to an eventual update that is badly needed.
Policy Manual Updates for O-1A, EB-1, EB-2 and International Entrepreneur Rule
The EO’s directive to DHS to modernize pathways for experts in AI and other emerging technologies will have profound effects on the U.S. tech industry. Fields such as Artificial Intelligence (AI), Quantum computing, Biotechnology, etc., are increasingly crucial in defining global technology leadership and national security. As per the NSCAI report, the U.S. significantly lags behind in terms of AI expertise due to severe immigration challenges.
The modernization would likely include clarification and updates to the criteria of defining ‘extraordinary ability’ and ‘exceptional ability’ under O-1A, EB-1 and EB-2 visas, becoming more inclusive towards talents in emerging tech fields. For instance, the current ‘extraordinary ability’ category is restrictive towards researchers as it preferentially favors those who have received significant international awards or recognitions—a rarity in most early-stage research careers. Similarly, despite O-1A and EB-1 both designed for aliens with extraordinary ability, the criteria for EB-1 is more restrictive than O-1A and bringing both in line would allow a more predictable path for an O-1A holder to transition to an EB-1. Such updates also extend to the International Entrepreneur Rule, facilitating startup founders from critical technology backgrounds more straightforward access into the U.S. landscape.
Altogether, these updates could lead to a surge in visa applications under O-1A, EB-1, EB-2 categories and increase entrepreneurship within emerging tech sectors. In turn, this provision would bolster the U.S.’ competitive advantage globally by attracting top-performing individuals working on critical technologies worldwide.
Enhanced Informational Resources and Transparency
The directives in Section 4 instruct an array of senior officials to create informational resources that demystify options for experts in critical technologies intending to work in the U.S. The provision’s ramifications include:
- Clearer Pathways: The creation of a ‘comprehensive guide’ ensures specialists have an understanding of their options to work in the U.S., reducing the miscommunication or confusion that can hinder recruitment and immigration processes.
- Multi-Lingual Resources: By stipulating these resources be published in ‘multiple languages,’ this provision promotes inclusivity, attracting talent from various linguistic backgrounds.
- Visibility of Relevant Data: The mandate places a responsibility on key departments to monitor and publish relevant immigration data about AI and other critical technology experts. This transparency may instill confidence in potential experts considering making their skills available in the U.S., illustrating an evidence-based approach to policy-making.
Streamlining Visa Services
This area of the order directly addresses immigration policy with a view to accelerating access for talented individuals in emerging tech fields.
- Reduced Processing Times: The directive to “streamline processing times” has potentially transformative effects. By speeding up visa petition processing times and ensuring timely visa appointments, needed innovation practitioners can begin contributing to the American economy sooner.
- Continuous Visa Availability: By promoting “continued availability” of visa appointments, the order potentially prevents gaps from occurring in the recruitment or hiring process due to administrative issues, thus ensuring a steady entrance of talents into the industry.
Using Discretionary Authorities to Support and Attract AI Talent
The EO’s directive to the Secretary of State and Secretary of Homeland Security to use discretionary authorities—consistent with applicable law and implementing regulations—to support and attract foreign nationals with special skills in AI seeking to work, study, or conduct research in the U.S. could have enormous implications.
One way this provision could be implemented is through the use of public benefit parole. Offering parole to elite AI researchers who may otherwise be stuck in decades long backlogs (or are trying to evade authoritarian regimes) could see a significant increase in the inflow of intellectual prowess into the U.S. Public benefit parole is also the basis for the International Entrepreneur Rule. Given how other countries are actively poaching talent from the U.S. because of our decades long visa backlogs, creating a public benefit parole program for researchers in AI and other emerging technology areas could prove extremely valuable. These researchers could then be allowed to stay and work in the U.S. provided they are able to demonstrate (on an individual basis) that their stay in the U.S. would provide a significant public benefit through their AI research and development efforts.
Another potential utilization of this discretionary authority could be in the way of the Department of State issuing a memo announcing a one‐time recapture of certain immigrant visa cap numbers to redress prior agency failures to issue visas. There is precedence for this as when the government openly acknowledged its errors that made immigrants from Western Hemisphere countries face longer wait times between 1968 and 1976 as it incorrectly charged Cuban refugees to the Western Hemisphere limitation. To remedy the situation, the government recaptured over 140,000 visas from prior fiscal years on its own authority, and issued them to other immigrants who were caught in the Western Hemisphere backlog.
In the past, considerable quantities of green cards have gone unused due to administrative factors. Recapturing these missed opportunities could immediately benefit a sizable volume of immigrants, including those possessing AI skills and waiting for green card availability. For instance, if a hypothetical 300,000 green cards that were not allocated due to administrative failures are recaptured, it could potentially expedite the immigration process for a similar number of individuals.
Finally, as a brief from the Federation of American Scientists stated earlier, it is essential that the Secretary of State and the Secretary of Homeland Security extend the visa interview waivers indefinitely, considering the significant backlogs faced by the State Department at several consular posts that are preventing researchers from traveling to the U.S.
In August 2020, Secretary Pompeo announced that applicants seeking a visa in the same category they previously held would be allowed to get an interview waiver if their visa expired in the last 24 months. Before this, the expiration period for an interview waiver was only 12 months. In December 2020, just two days before this policy was set to expire, DOS extended it through the end of March 2021. In March, the expiration period was doubled again, from 24 months to 48 months and the policy extended through December 31, 2021. In September of 2021, DOS also approved waivers through the remainder of 2021 for applicants of F, M, and academic J visas from Visa Waiver Program countries who were previously issued a visa.
In December 2021, DOS extended its then-existing policies (with some minor modifications) through December 2022. Moreover, the interview waiver policy that individuals renewing a visa in the same category as a visa that expired in the preceding 48 months may be eligible for issuance without an interview was announced as a standing policy of the State Department, and added to the department’s Foreign Affairs Manual for consular officers. In December 2022, DOS announced another extension of these policies, which are set to expire at the end of 2023.
As the State Department recently noted: “These interview waiver authorities have reduced visa appointment wait times at many embassies and consulates by freeing up in-person interview appointments for other applicants who require an interview. Nearly half of the almost seven million nonimmigrant visas the Department issued in Fiscal Year 2022 were adjudicated without an in-person interview. We are successfully lowering visa wait times worldwide, following closures during the pandemic, and making every effort to further reduce those wait times as quickly as possible, including for first-time tourist visa applicants. Embassies and consulates may still require an in-person interview on a case-by-case basis and dependent upon local conditions.”
These changes would also benefit U.S. companies and research institutions, who often struggle to retain and attract international AI talent due to the lengthy immigration process and uncertain outcomes. In addition, exercising parole authority can open a new gateway for attracting highly skilled AI talent that might have otherwise chosen other countries due to the rigid U.S. immigration system.
The use of such authorities can result in a transformational change for AI research and development in the U.S. However, all these outcomes entirely depend upon the actual changes made to existing policies—a task that many acknowledge will require serious thoughtfulness for walking a balance between remaining advantageously selective yet inclusive enough.
In summary, these provisions would carry massive impacts—enabling us to retain foreign talent vital across sectors including but not limited to education, technology and healthcare; all fuelling our national economic growth in turn.
Increasing Students Opportunity-to-Learn Through Better Data Systems
Research shows that giving students equitable opportunities to learn requires access to key inputs. These include, at a minimum: access to qualified, experienced, in-field, and effective teachers; a rich curriculum; adequate funding; support staff; up-to-date facilities; standards-based materials; and technology. Since the 1960s education scholars have argued that federal, state, and local policymakers should use evidence-based opportunity-to-learn (OTL) indicators to inform education improvement processes and decisions about educator recruitment and retention, targeted student-centered programming, and equitable resource allocation. The current availability of district-level relief funds, the restarting of state accountability systems, and a possible reauthorization of the federal Education Sciences Reform Act (ESRA), are unique policy openings for education leaders to innovate using OTL indicators, incorporate promising practices from existing reporting systems, and establish place-based measures that fit local needs.
Challenge and Opportunity
COVID-19 placed an enormous burden on our education system. Lost instruction, student absences, teacher shortages, school discipline, and the wavering mental health of our nation’s youth have all made headlines since the pandemic began. To address these challenges, policymakers, educators, parents, and community members need multiple data points—in addition to test scores—to both identify achievement and opportunity gaps and spotlight successful models.
Luckily, a 2019 National Academies of Sciences study, in addition to several resources from the Department of Education and policy experts, demonstrate how OTL indicators can inform school, district, and systems-wide improvement. According to Stephen Elliot and Brendan Bartlett, OTL indicators “generally refer to inputs and processes within a school context necessary for producing student achievement of intended outcomes.” Such indicators can include those identified by the National Academies of Sciences in Table 1 and may also incorporate other indicators of school conditions and outcomes. When states, districts, and schools use various combinations of OTL indicators and disaggregate them by student subgroup, they can more accurately gauge and purposefully increase students’ opportunities to learn.
OTL indicators can also provide information about the nature of the teaching and learning opportunities states, districts, and schools make available to students across the country. For example, if a state’s curriculum frameworks and assessments outline standards for science or career and technical education that requires laboratory work, computers, specialized courses, and teaching expertise—states and districts should know whether students have access to these resources.
Federal and Expert Support for OTL Indicators
Over the past two years the Department of Education (ED) released two key resources supporting OTL implementation:
- Volume 2 of ED’s 2021 COVID-19 Handbook includes a section describing how states and districts can “use data about students opportunity to learn to help target resources and support.” This resource also lists several indicators for states to consider included in Table 2.
- ED’s 2022 guidance to states about their accountability systems mentions that states may modify their academic and School Quality and Student Success (SQSS) indicators under ESSA—specifically noting that they may pull from the list of OTL measures listed in ED’s COVID-19 Handbook. This guidance also “encourages SEAs, LEAs, and schools to include OTL measures and measures on the impact of COVID-19 as a part of the school improvement planning process.”
In addition, several organizations released OTL-related resources describing different indicators and how they are being used to support student achievement. For example:
- In 2023, the National Center for Education Statistics created an Equity in Education Dashboard pulling together available data connected to NAS’s 2019 report.
- In 2022, the Aspen Institute released a bipartisan set of OTL principles. These principles note how OTL indicators can create a shift in mindset “from a system and policy frame that measures students, to once that measures systems.”
- In 2022, the National Education Policy Center highlighted ED’s list of OTL indicators, arguing that these measures have never mattered more because they can expose the “systematic social and political structures” that create inequitable learning opportunities.
- In 2022, the Southern Education Foundation released a report recommending states revise their accountability systems to emphasize socio-economic factors, physical environments, health and wellness measures, and sociocultural metrics as a way to address achievement gaps.
- In 2021, MRDC published Equity Metrics, Measures, and Analytic Approaches in Education Research, which pulls together metrics from NAS and a 2018 UNESCO report.
- In 2021, Chiefs for Change released a tool for tracking multiple indicators of system-level student wellbeing, including measures of student flourishing, student mental health outcomes, school-based metrics, and state-connected supports.
- In 2021, FutureED released a report on equity measures. The report describes the history of OTL indicators, discusses criteria for choosing impactful metrics, and provides examples of OTL indicators in action.
- In 2020, the Center for Assessment released a resource describing why OTL data is important and how to collect it. This resource also includes a descriptive list of examples of potential indicators with a variety of ways states, districts, and schools can collect them.
Ideas to Use Data to Increase Opportunities to Learn
Taken together, the resources above from ED and policy experts can facilitate the following local, state, and federal actions to increase the use of OTL indicators.
Supporting Student Opportunity to Learn through Local Data Systems
States and districts have broad flexibility to use American Rescue Plan Act funds to support student achievement—including “developing and implementing procedures and systems to improve the preparedness and response efforts of local educational agencies.” These systems could arguably include building data collection and reporting infrastructure to track OTL indicators, monitor student progress, and respond with evidence-based interventions. Instead of starting from scratch, states and districts can pull best practices from existing cradle-to-career models such as the Schott Foundation’s Loving Cities Index, or StriveTogether which track various forms of OTL data from a student’s early years (e.g., kindergarten readiness) through their entry into career paths (e.g., postsecondary enrollment). School Systems can also adapt aspects of OTL indicators to show how they are meeting the needs of their students. For example, Houston Independent School District has an ESSER Spending Dashboard showing how much funding has been spent on educators, support staff, tutors, devices, programming, and physical health.
Supporting Student Opportunity to Learn through State Accountability and Improvement and Reporting Systems
At the state level, policymakers can help advance OTL indicators by using flexibility included in the Every Student Succeeds Act (ESSA) and further described by ED’s 2022 accountability guidance. For example, ESSA requires states to add at least one indicator of “school quality or student success” to their accountability systems. A number of states have responded by adding indicators of college and career readiness, extended-year graduation rates, suspension rates, school climate, and chronic absenteeism, which all provide information about the broader set of outcomes and opportunities that shape student achievement. For example, the District of Columbia amended its ESSA plan in 2022 to include academic growth, access to dual enrollment courses, and a five-year graduation rate. Many states also represent OTL data in accessible formats such as the school data dashboard in California, a parent dashboard in New York, School and District Profiles in Oregon, and school climate survey reports in Illinois.
Supporting Student Opportunity to Learn through State and Federal Grant Programs
State and federal governments can also incorporate OTL indicators into reporting metrics for grantees. Specifically, state and federal government can solicit feedback on which indicators are most helpful to each program through public notices. By developing equity-centered measures with researchers, policymakers, and practitioners, federal agencies can help grantees build lasting data systems for reporting and continuous improvement. For example, the Full-Service Community School grant program went through negotiated rulemaking to reshape the program’s priorities and drew from suggestions submitted by policy experts to incorporate 13 reporting metrics for new grantees. To help make the collection less burdensome, agencies can also provide technical assistance and release guidance with existing data sources, best practices, and examples.
Supporting Student Opportunity to Learn through Education Sciences Reform Act (ESRA) Implementation and Reauthorization
The federal government can help states and districts close opportunity gaps by assisting in the collection, reporting, validation, disaggregation, and analysis of OTL data through ESRA-funded programs. For example, states and districts can leverage technical assistance and research dissemination through the Regional Educational Laboratories (RELs), creating resources and providing further support through the Comprehensive Centers Program, and equipping the Statewide Longitudinal Data System (SLDS) program to aid in building state and local capacity in measuring students’ opportunity to learn. Officials at the Institute for Education Sciences (IES) can also point states and districts to existing models such as Kentucky’s Longitudinal Data System and Washington’s Indicators of Education System Health, which incorporate data across a student’s academic continuum to inform policy and practice.
Conclusion
If state and local leaders are committed to supporting the “whole child,” then they need more than just outcome-based measures such as test scores or graduation rates (i.e., outputs). So much happens before students take a test or graduate. To improve outcomes, students, parents, teachers, and education stakeholders need better information about factors that contribute to student learning (i.e., inputs). For years federal, state, and local leaders have been assessing our students mainly to find the same persistent achievement gaps, which correlate heavily with race, ethnicity, and socioeconomic status. Expanding the use of OTL indicators also assess our federal, state, and local systems so they can find new opportunities for students to learn.
Moving the Nation: The Role of Federal Policy in Promoting Physical Activity
Physical activity is one of the most powerful tools for promoting health and wellbeing. Movement is not only medicine—effective at treating a range of physical and mental health conditions—but it is also preventive medicine, because movement reduces the risk for many conditions ranging from cancer and heart disease to depression and Alzheimer’s disease. But rates of physical inactivity and sedentary behavior have remained high in the U.S. and worldwide for decades.
Engagement in physical activity is impacted by myriad factors that can be viewed from a social ecological perspective. This model views health and health behavior within the context of a complex interplay between different levels of influence, including individual, interpersonal, institutional, community, and policy levels. When it comes to healthy behavior such as physical activity, sustainable change is considered most likely when these levels of influence are aligned to support change. Every level of influence on physical activity within a social-ecological framework is directly or indirectly affected by federal policy, suggesting physical activity policy has the potential to bring about substantial changes in the physical activity habits of Americans.
Why are federal physical activity policies needed?
Physical inactivity is recognized as a public health issue, having widespread impacts on health, longevity, and even the economy. Similar to other public health issues over past decades such as sanitation and tobacco use, federal policies may be the best way to coordinate large-scale changes involving cooperation between diverse sectors, including health care, transportation, environment, education, workplace, and urban planning. An active society requires the infrastructure, environment, and resources that promote physical activity. Federal policies can meet those needs by improving access, providing funding, establishing regulations, and developing programs to empower all Americans to move more. Policies also play an important role in removing barriers to physical activity, such as financial constraints and lack of safe spaces to move, that contribute to health disparities. With such a variety of factors impacting active lifestyles, physical activity policies must have inter-agency involvement to be effective.
What physical activity initiatives exist currently?
Analysis of publicly available information revealed that there are a variety of initiatives currently in place at the federal level, across several departments and agencies, aimed at increasing physical activity levels in the U.S. Information about each initiative was evaluated for their correspondence with levels of the social-ecological model, as summarized in the table. Note that it is possible the search that was conducted did not identify every relevant effort, thus there could be additional initiatives that are not included below.
Given the large number of groups with the shared goal of increasing physical activity in the nation, a memorandum of understanding (MOU) may help to promote coordination of goals and implementation strategies.
These and other federal departments and agencies can coordinate action with state and local partners, for example in healthcare, business and industry, education, mass media, and faith-based settings, to implement physical activity policies.
The CDC’s Active People, Healthy Nation initiative provides an example of this approach. This campaign, launched in 2020, has the goal of helping 27 million Americans become more physically active by 2027. By taking action steps focused on program delivery, partnership engagement, communication, training, and continuous monitoring and evaluation, the campaign seeks to help communities implement evidence-based strategies across sectors and settings to provide equitable and inclusive access to safe spaces for physical activity. According to our analysis, the strategies of the Active People, Healthy Nation initiative are aligned with the social-ecological model. The Physical Activity Policy Research and Evaluation Network, a research partner of the Active People, Healthy Nation initiative, provides an example of coordinating with partners in other sectors to promote physical activity. Through collaboration across sectors, the network brings together diverse partners to put into practice research on environments that maximize physical activity. The network includes work groups focused on equity and inclusion, parks and green space, rural active living, school wellness, transportation policy and planning, and business/industry.
The Biden-Harris Administration National Strategy on Hunger, Nutrition, and Health, announced in September 2022, also includes strategies that are consistent with a social-ecological model. The strategy outlines steps toward the goal of ending hunger and increasing healthy eating and physical activity by 2030 so that fewer Americans will experience diet-related diseases. Pillar 4 of the strategy is to “make it easier for people to be more physically active—in part by ensuring that everyone has access to safe places to be active—increase awareness of the benefits of physical activity, and conduct research on and measure physical activity.” The strategy specifies goals such as building environments that promote physical activity (e.g., connecting people to parks; promoting active transportation and land use policies to support physical activity) and includes a call to action for a whole-of-society response involving the private sector, state, local, and territory governments, schools, and workplaces.
The Congressional Physical Activity Caucus has been active in introducing legislation that can help realize the goals of the current physical activity initiatives. For example, in February 2023, Sen. Sherrod Brown (D-OH), co-chair of the Caucus, introduced the Promoting Physical Activity for Americans Act, a bill that would require the Department of Health and Human Services to continue issuing evidence-based physical-activity guidelines and detailed reports at least every 10 years, including recommendations for population subgroups (e.g., children or individuals with disabilities). In addition, members of the Caucus, along with other members of congress, reintroduced the bipartisan, bicameral Personal Health Investment Today (PHIT) Act in March 2023. This legislation seeks to encourage physical activity by allowing Americans to use a portion of the money saved in their pre-tax health savings account (HSA) and flexible spending account (FSA) toward qualified sports and fitness purchases, such as gym memberships, fitness equipment, physical exercise or activity programs and youth sports league fees. The bill would also allow a medical care tax deduction for up to $1,000 ($2,000 for a joint return or a head of household) of qualified sports and fitness expenses per year.
What progress has been made?
There are signs that some of the national campaigns are leading to changes at other levels of society. For example, 46 cities, towns, and states have passed an Active People, Healthy Nation Proclamation as of September 2023. According to the State Routes Partnership, which develops “report cards” for states based on their policies supporting walking, bicycling, and active kids and communities, many states have shown movement in their policies between 2020 and 2022, such as implementing new policies to support walking and biking and increasing state funding for active transportation. However, more time is needed to determine the extent to which recent initiatives are helping to create a more active country, since most were initiated in the past two or three years. Predating the current initiatives, the overall physical activity level of Americans increased from 2008 to 2018, but there has been little change since that time, and only about one-quarter of adults meet the physical activity guidelines established by the CDC.
Clearly, there is a critical need for concerted effort to implement the strategies outlined in current physical activity initiatives so that national policies have the intended impacts on communities and on individuals. Leveraging provisions in existing legislation related to the social-ecological model of physical activity promotion will also help with implementation. For example, title III-D of the Older Americans Act supports healthy lifestyles and promotes healthy behaviors amongst older adults (age 60 and older), providing funding for evidence-based programs that have been proven to improve health and well-being and reduce disease and injury. Physical activity programs are prime candidates for such funding. In addition, programs under the 2021 Bipartisan Infrastructure Law and the 2022 Inflation Reduction Act are helping to change the current car-dependent transportation network, providing healthier and more sustainable transportation options, including walking, biking, and using public transportation, and are providing investments in environmental programs to improve public health and reduce pollution. For example, states can use funds from the Highway Safety Improvement Program for bicycle and pedestrian highway safety improvement projects, and funding is available through the Carbon Reduction Program for programs that help reduce dependence on single-occupancy vehicles, such as public transportation projects and the construction, planning, and design of facilities for pedestrians, bicyclists, and other non-motorized forms of transportation.
Partnering with non-governmental groups working towards common goals, such as the Physical Activity Alliance, can also help with implementation. The Alliance’s National Physical Activity Plan is based on the socio-ecological model and includes recommendations for evidence-based actions for 10 societal sectors at the national, state, local and institutional levels, with a focus on making change at the community level. The plan shares many priorities with those of the Active People, Healthy Nation initiative, while also introducing new goals, such as establishing a CDC Office of Physical Activity and Health.
With coordinated action based on established public health models, such as the social-ecological framework, federal policies can be successfully implemented to make the systemic changes that are needed to create a more active nation.
The work for this blog was undertaken before Dr. Dotson joined the Agency for Healthcare Research and Quality (AHRQ). Dr. Dotson is solely responsible for this blog post’s contents, findings, and conclusions, which do not necessarily represent the views of AHRQ. Readers should not interpret any statement as an official position of AHRQ or of the U.S. Department of Health and Human Services.
Seeing Through the Haze: How the federal government does (and doesn’t) work to reduce public exposure to wildland fire smoke
Media coverage of wildfire often focuses on the brutality of death and destruction – but alongside these horrific outcomes is the often overlooked and underestimated danger of smoke. This insidious threat isn’t localized to the fire itself but can spread across the country. Worse, we don’t have a coordinated response. This report explores what is being done at the federal level to address wildland fire smoke, what’s missing, and makes recommendations to address this national health issue.
As the wildfire season has grown longer in the West, smoke events now sometimes stretch for weeks and across the continent. As a result, millions of people are exposed to harmful levels of air pollution on a near-annual basis. Wildland fire smoke is a chemical stew, but the component that is most well-studied and considered the most immediately threatening is fine particulate matter 2.5 microns in diameter and smaller (PM2.5). These particles are small enough to bypass the body’s natural defenses, burrow deep into the lungs, and even pass into the bloodstream where they set off a systemic inflammatory response. Smoke exposure leads to increased frequency and severity of asthma attacks, worsened COPD symptoms, increased risk of stroke and heart attack, increased susceptibility to infectious disease, and increased hospital visits and deaths. Recent research finds that repeated smoke exposure may also increase the risk of developing dementia. Thousands of deaths and hospitalizations occur each year from wildland fire smoke exposure, with most of the impacted persons living far from an active fire. Those most at risk from wildland fire smoke include children and youths under 18, older adults, pregnant people, people with heart or lung disease, outdoor workers, and persons of low socioeconomic status.
The federal government’s efforts to protect the populace from wildland fire smoke health impacts are made difficult because exposure to wildland fire smoke is influenced by many factors, including fire and smoke characteristics; the indoor environment; time and activity levels spent outside; use of respiratory protection; and the knowledge, belief, and ability to reduce exposure. Understanding and addressing these factors requires a broad array of specialties, including atmospheric science and chemistry, forestry and fire science, building and aerosol science, epidemiology and health effects research, air quality monitoring, risk communication, and social science.
Because there is no one federal office, department or agency with the expertise to address all facets of smoke exposure, collaboration across multiple entities is necessary. However, because coordination across agencies is often not formalized or even funded, projects are scattered across the federal science agencies, often with experts from multiple offices collaborating as needed on an ad hoc basis.
Consequently, information about how federal entities are addressing the impacts of wildland fire smoke is scattered across dozens of agency websites and hundreds of public reports. Without a comprehensive accounting of federal action on wildland fire smoke, it may be difficult for researchers, grantees, and policymakers to collaborate across the landscape, diagnose inefficiencies, and propose innovative solutions. It may also be challenging for communities to know where to turn when seeking knowledge and tools for responding to the rising smoke threat.
Importantly, federal wildland fire smoke efforts are often distinct from wildfire management strategies. The latter do not usually consider potential smoke impacts when prioritizing initial attacks or determining suppression strategies. Rather, land managers are generally more focused on addressing future wildfire smoke impacts by using beneficial fire in hopes it will reduce future wildfire smoke emissions.
To answer the question, “What is the federal government doing about wildland fire smoke, and who’s doing it?” we conducted an analysis of public-facing materials to understand a broad suite of federal wildland fire smoke activities. Then, we grouped them into four main categories of action: research; guidance preparation and dissemination; situational awareness; and direct community assistance. Finally, we identified opportunity areas for additional federal action to improve health outcomes for the most vulnerable. Note that this analysis is based on publicly available information to the best of our knowledge at time of publication. It may not encompass all wildland fire smoke efforts at all agencies.
More about this analysis can be found at the end of this report.
Research
The most cross-cutting federal wildland fire smoke effort is research. Numerous agencies are conducting and participating in studies dedicated to smoke composition, movement, measurement, health impacts, climate change implications, and ways to mitigate public exposure. (For a sense of scale, see “Wildland Fire Smoke in the United States: A Scientific Assessment.” Published in late 2022, the assessment runs 346 pages and outlines research efforts dedicated to understanding wildland fire smoke and its impacts.)
Scientists from land management (USFS, BLM, NPS), earth sciences (NOAA, NASA, USGS), health (CDC, EPA), and other (DOE, DoD, DHS, NIST ) agencies all take part in wildland fire smoke research, with frequent collaboration across agencies and offices (e.g. FASMEE and FIREX-AQ, below). In addition, federal agencies frequently partner with state, local, Tribal, university, international and nongovernmental partners. The federal government also sponsors wildland fire smoke research and innovation at universities and other non-governmental organizations, with federal grants coming from NSF, NIH, EPA, DoD, CDC-NIOSH, USFS and DOI (via the Joint Fire Sciences Program), HRSA, NASA, NOAA, and others.
Insights from these efforts inform public health guidance, improve smoke forecasting and communication, and may help the federal government develop meaningful policies and procedures to mitigate current and future smoke impacts.
There are far too many research efforts to summarize, even at a high level. See this table for an overview of where federal agencies and offices intersect with research topics. Below are some selected highlights:
FASMEE and FIREX-AQ
FASMEE (primary agency: USFS) and FIREX-AQ (primary agencies: NOAA and NASA) are large-scale, multi-year collaborative research efforts that combine data from satellite, aerial and ground measurements to improve our understanding of fire behavior and the resulting smoke’s movement, composition and impacts. An important end goal of these efforts is improved smoke modeling. Smoke modeling will help alert communities to future smoke impacts and help land managers plan prescribed fires to minimize smoke impacts.
EPA
In addition to participating in the above smoke modeling projects, the EPA conducts and participates in an array of wildland fire smoke research. EPA’s wildland fire smoke research catalog includes work on health effects, interventions, and risk communication to reduce smoke exposure, pollution monitoring, and characterizing smoke pollution chemistry and concentrations (i.e. smoke “emissions”). Some recent projects include an evaluation of DIY air cleaners, a characterization of emissions from fires in the wildland urban interface, an analysis of indoor air quality in commercial buildings during smoke events, and development of a community health vulnerability index for wildland fire smoke.
Joint Fire Science Program
The Joint Fire Science Program (JFSP) is funded by DOI and USFS. Since its establishment in 1998, JFSP has invested more than $25 million in wildland fire smoke research conducted by agency and nonfederal partners. JFSP also hosts the Fire Science Exchange Network to provide “the most relevant, current wildland fire science information to federal, state, local, tribal, and private stakeholders within ecologically similar regions.”
Wildland Urban Interface Fires
Smoke from burning vegetation is composed of toxic chemicals. As more fires burn into the wildland urban interface (WUI), concern is mounting about additional harm from burning metals, plastics and other artificial components in the built environment. To better understand smoke in the WUI, NIST, NIEHS, and the CDC sponsored the 2022 National Academies of Sciences, Engineering and Medicine (NASEM) consensus study report: The Chemistry of Fires at the Wildland Urban Interface, which “evaluates existing and needed chemistry information that decision-makers can use to mitigate WUI fires and their potential health impacts.” One of the knowledge gaps identified in the report is a characterization of the amount and type of pollutants generated when fires burn homes, vehicles, and other anthropogenic materials. To begin addressing this gap, EPA recently compiled emission factors for hazardous air pollutants that may be found in WUI fires. And, while much of NIST’s work in fire has been focused on residential and commercial structure fires, the agency has started modeling WUI and landscape fires and researched how smoke may impact evacuations.
NASA Health Research
A (perhaps unexpected) source of wildfire smoke public health research funding is NASA. While much of NASA’s wildland fire smoke research efforts revolve around atmospheric science and the physical characteristics of smoke, NASA has been funding Health and Air Quality Applied Science Team (HAQAST) projects since 2016 as part of its Applied Science program. Not all HAQAST projects involve wildland fire smoke, but NASA recently funded a project examining the health burden of the 2017 wildfires in California. NASA also recently funded a study examining the impact of smoke from Alaska wildfires on respiratory and cardiovascular health.
Wildland Firefighter Exposure
Among those most exposed to wildland fire smoke are wildland firefighters. Recent research by CDC-NIOSH (in collaboration with USFS and DOI) aims to understand the impacts of repeated smoke exposure on wildland firefighter health. This will build on previous USFS and JSFP research on wildland firefighter smoke exposure. Because wildland firefighters often do not have access to adequate respiratory protection for their occupation, DHS is funding efforts by an industry partner to develop a respirator to meet these firefighters’ unique needs.
Guidance preparation and dissemination
When wildland fire smoke enters a community, residents need to know about health risks and how they can limit their exposure. Federal public health agencies (EPA and CDC) have largely assumed the task of preparing wildland fire smoke guidance and providing it to the public and to state, local, and Tribal agencies.
The following is a broad summary of the federal government’s guidance preparation and dissemination efforts at the time of publication.
Resources for Public Health Officials and Physicians
EPA’s comprehensive Wildfire Fire Smoke Guide for Public Health Officials (developed in collaboration with experts from CDC, USFS, and non-federal partners) addresses health concerns, outdoor activities, indoor air quality, respirators, interpreting air quality data, protecting vulnerable persons, pets and livestock, and more. Because medical training does not typically cover air pollution health impacts, EPA and CDC have created a course for physicians and other medical professionals so they can better prepare their patients for wildland fire smoke events.
Resources for the Public
EPA and CDC also provide fact sheets by topic that are available for public dissemination. CDC-NIOSH has guidance available for protecting outdoor workers from smoke and, as the certifying body for respirators, provides the public and workers with information about respirator selection and use.
Resources for Communities
EPA has compiled resources for communities into their Smoke Ready Toolbox, which serves as a catchall for interested persons to learn about smoke and how they can protect themselves and their community. In addition, both EPA and CDC have created resources targeted at children to help them navigate fires and smoke.Experts from multiple federal agencies contribute to the creation of guidance; however, outside the health agencies, few federal agencies provide that guidance to the communities their programs serve. When they do, it is often buried as a blog post or news post rather than a static page. There are some limited exceptions: NPS and FEMA include information on their websites about respirators for the public in the event of wildland fire smoke; USFS provides smoke preparedness information on the Interagency Wildland Fire Air Quality Response Program and the Wildfire Risk to Communities sites; DHS provides information about respirators and indoor air quality on Ready.gov; and the DoD provides a fact sheet for military personnel about wildland fire smoke (though it has incomplete health impact information and does not include recommendations related to clean indoor air).
Situational awareness/monitoring
To prepare for and respond to wildland fire smoke, the public and decision makers need to know current and projected smoke levels. Multiple federal agencies work to provide air quality monitoring data, smoke forecasts, and satellite imagery to the public, and their efforts rely on frequent interagency collaboration and data sharing.
The following is a broad summary of the federal government’s situational awareness efforts.
Air Quality Monitoring
Air quality monitoring data provides real-time information about how much smoke is currently impacting communities.
Real time air quality monitoring data allow the public to understand current conditions. EPA, USFS, NPS and state, local and Tribal air pollution control programs deploy and maintain particulate pollution monitors that can measure the PM2.5 levels in wildland fire smoke. EPA provides access to PM2.5 air monitoring data from permanent monitors across the country via Airnow.gov and its apps. For wildfires, however, the agency directs the public to the Fire and Smoke Map. This map is a public-facing collaboration between EPA and USFS that provides near real-time data about both smoke pollution and fires based on the user’s location. The Fire and Smoke Map incorporates air quality data from permanent monitors, temporary monitors, and Purple Air sensors; heat detections from NOAA and NASA satellites; fire information from the National Interagency Fire Center; smoke forecast from the Interagency Wildland Fire Air Quality Response Program; and smoke plume overlays from NOAA’s Hazard Mapping System.
EPA’s color-coded Air Quality Index provides the public with pollution severity indicators and associated protective measures, which allows individuals and decision makers to understand current health risks and implement exposure reduction strategies.
Satellite Imagery and Heat Detections
Satellite imagery shows current smoke conditions and smoke movement as fires burn across the landscape. Satellite-based heat detections show real time fire activity and can be used by smoke forecasters to anticipate smoke production. These data are also incorporated into smoke models discussed below.
Science agencies including NOAA and NASA provide satellite imagery and analysis to scientists and the public for near real-time pollutant monitoring, smoke plume tracking, and fire detection.
Smoke Forecasting
Smoke forecasts in the form of models and narratives provide information about how much smoke is expected to impact an area. Multiple agencies contribute expertise or funding to smoke modeling work, including NOAA, EPA, USFS, NIST, DOE, NASA, and DoD.
NOAA develops smoke forecasting models such as HRRR Smoke and RRFS Smoke, and provides air quality forecasting guidance. Forecasters with NOAA’s National Weather Service issue air quality alerts on behalf of air pollution control agencies and sometimes include projected smoke impacts in their narrative forecasts.
USFS led the creation of the Interagency Wildland Fire Air Quality Response Program, which embeds Air Resource Advisors (ARAs) into teams of officials managing active wildfires (known as incident management teams). The USFS gathers ARAs from an array of federal agencies (including USFS, NPS, and EPA), state, Tribal and local governments, and the private sector. ARAs provide daily smoke outlooks to the public and incident management teams and deploy air quality monitors. USFS also created the BlueSky smoke modeling framework, which supports ARA efforts and is available to the public. USFS incorporates EPA’s CMAQ smoke model into BlueSky’s framework to provide daily smoke projections.
Direct community assistance
With no end in sight to repeated smoke exposures and research showing that a significant amount of smoke comes indoors, there is growing recognition that communities need to prepare for smoke not only outside but also in their homes, schools, and businesses. This necessitates upgrading existing building filtration and ventilation systems, distributing air cleaners to vulnerable community members, having respirators available for outdoor workers, setting up respite cleaner air shelters, and more.
Federal agencies such as EPA and USFS encourage the creation of smoke-ready communities, but so far, direct community assistance in the form of monetary or expert technical assistance has been limited. Unlike hazards such as flood and fire, there are no smoke-specific community resilience grants available from FEMA, and smoke-related efforts are not explicitly included among FEMA’s eligible fire-mitigation projects.
This section describes federal community assistance efforts currently underway to address wildland fire smoke.
EPA
EPA has provided technical assistance to communities interested in turning schools into neighborhood cleaner air and cooling centers. They have also partnered with USFS to help two counties develop smoke preparedness plans as part of a research study. EPA recently launched the Wildfire Smoke Preparedness in Community Buildings Grant Program, which provides eligible entities a chance at a part of $10.67 million to improve public health protection against wildland fire smoke. The agency anticipates funding 13-18 projects.
While EPA’s Environmental Justice Grant program is not specifically targeted at wildland fire smoke, some communities have successfully applied for EPA Environmental Justice Grants to implement smoke-preparedness projects.
EPA also maintains an air sensor loan program to assist communities seeking more information about local air quality impacts, including from wildland fire smoke.
USFS
As a significant step forward in acknowledging smoke as a wildfire hazard, USFS now includes smoke-ready planning and implementation projects as eligible for Community Wildfire Defense Grants (CWDGs), which fund community wildfire fire protection plan (CWPP) development and revision as well as implementation of projects identified in existing CWPPs. However, USFS’s requirement that all implementation projects be identified in pre-existing CWPPs is a significant hurdle for accomplishing community smoke preparedness under the CWDG. The Healthy Forest Restoration Act (HFRA) of 2003 that drove the creation of CWPPs prioritizes hazardous fuel treatments and reducing structure ignitions. HFRA makes no mention of smoke, and smoke preparedness is not included in existing CWPP guidance. Unsurprisingly, out of $197 million awarded to 100 projects in March 2023, only a single funded CWDG project mentioned smoke preparedness in its CWPP planning project summary. No funded implementation projects include smoke preparedness efforts. (It is possible successfully funded CWPP updates will result in smoke preparedness planning that was not included in the short project summaries available online.)
CDC
The CDC provides Public Health Emergency Preparedness (PHEP) funding to state, local, and territorial public health departments. The PHEP program is designed to “strengthen national preparedness for public health emergencies including natural, biological, chemical, radiological, and nuclear incidents.” While PHEP funds are not targeted specifically for wildland fire smoke response or preparedness, they are designed for flexibility and have been successfully used to purchase air purifiers and HEPA filters. In 2017, the Missoula City-County Health Department (MCCHD) in Missoula, Montana overdrew its PHEP budget to purchase air purifiers for communities hit with hazardous smoke. The following year, MCCHD used PHEP funds to purchase replacement HEPA filters and additional air purifiers.
American Rescue Plan Funding for Schools
In March 2021, the American Rescue Plan Act (ARPA) allocated billions of dollars to “keep schools safely open” in the context of the COVID-19 pandemic. Schools can use ARPA Elementary and Secondary School Emergency Relief (ESSER) funds, which the Department of Education administers to states and school districts, can be used to support HVAC and filtration improvements in schools. In fact, schools are projected to spend almost $10 billion on HVAC upgrades using these funds.
While these ESSER funds are focused on reducing the spread of COVID-19, filters recommended for the fine particles in wildland fire smoke are the same ones recommended for viruses. Consequently, schools that upgrade their filtration using these funds (and in accordance with EPA or ASHRAE guidance) will also likely be better protected from wildland fire smoke. While there are many factors beyond filtration that impact indoor air quality, HVAC maintenance and filter upgrades are important interventions.
A Note About Beneficial Fire
A growing push is underway to restore ecosystem balance and reduce hazardous fuel buildup via beneficial fire, which includes cultural fires, prescribed fires, and wildfires with ecosystem benefits that are controlled but allowed to burn. These interventions, in addition to more frequent and intense wildfires, will mean additional smoke creation for years to come.
The drive to put more fire on the ground is aimed at reducing the severity of future fires and protecting “communities, critical infrastructure, watersheds, habitats, and recreational areas.” Additionally, a small but growing body of research is suggesting prescribed fire may reduce future wildland fire smoke emissions. Unsurprisingly, studies project less smoke impacts from prescribed burns than would be seen from a wildfire in the same place (which generally consume more fuels and produce more smoke).
This is a nuanced discussion, since beneficial fire creates its own smoke and there is no guarantee a wildfire will occur in a burned area before the benefits from the prescribed fire wear out and require a reburn. Prescribed fires also don’t protect communities from all future smoke impacts. An area treated with prescribed fire can still burn; even if it doesn’t, communities can still be impacted by wildfire smoke that has traveled from a fire burning thousands of miles away. In addition, questions remain about the public health impacts from prescribed fire, and much is needed to be done to protect communities from prescribed fire smoke, particularly at the scale needed to address the wildfire crisis. Recent studies from Australia have indicated health impacts from prescribed fire smoke can sometimes exceed that from wildfire smoke, and if climate change continues to worsen, the increased health burden of wildfire smoke will “undermine prescribed burning effectiveness.”
Still, if prescribed burns can limit fire duration and severity, they will lead to less smoke overall than if they had not been conducted. Wildfires may also progress more slowly across the landscape if they encounter patches of land previously treated with prescribed fire, buying more time for response and producing less smoke overall. As a result, prescribed burning is considered a tool in the arsenal to reduce future wildland fire smoke impacts. While this may be promising, currently, reduced future smoke is more a side benefit of prescribed fire rather than an objective for the burns. Most prescribed burns are planned for community fire protections and ecosystem benefits rather than reducing the probability of long duration smoke events impacting communities. Agencies conducting prescribed burning include USFS, BLM, BIA, NPS, FWS, and DoD.
Several of the topic areas described above are conducted by the federal government in support of prescribed fire.
Opportunities
The federal government has shown interest in better understanding smoke and its potential impacts on United States residents. However, there are gaps in federal actions and resulting opportunities that, if taken, could lead to stronger protections from the known health impacts of wildland fire smoke. If the government takes a more proactive role in reducing public exposure to smoke, future fire seasons may bring less illness and death.
Policy to Protect Vulnerable Populations
Notably, policies or rules to protect workers or school children are not on the list of federal smoke-related actions. The federal government is investing heavily in smoke research, situational awareness, and hazardous fuels mitigation but has thus far not implemented rules mandating protection from unhealthy air quality. As a result, states have stepped in with piecemeal protections, and a person’s level of regulatory protection depends on their jurisdiction.
Currently, only California and Oregon mandate employers protect workers from wildland fire smoke. (Washington is in the process of finalizing a similar rulemaking to replace an emergency rule that expired in September 2022.) Protections vary among these states based on air quality, work environment, and enforcement.
This fragmented landscape could be rectified by a federal requirement to limit worker wildland fire smoke exposure. In a 2022 consensus study report, a NASEM committee recommended OSHA set standards for wildfire smoke exposure and mandate employers protect workers. As part of that report, the committee also recommended that Congress expand OSHA’s authority to cover “unpaid volunteers, family members of farm employees, domestic workers in residential settings, gig workers, and many workers now categorized as independent contractors,” all of whom are not currently protected under OSHA authority.
While there are no EPA or OSHA indoor air quality standards for particulate matter or wildland fire smoke, ASHRAE is preparing guidance for commercial buildings that localities can adopt to better protect indoor workers and school children from smoke’s harmful effects. (Formerly known as the American Society of Heating, Refrigerating and Air-Conditioning Engineers, ASHRAE develops and publishes standards and guidance for the heating, ventilation and air conditioning (HVAC) industry.) In 2021, ASHRAE released a framework for commercial buildings and schools to protect occupants from wildland fire smoke. At time of publication, ASHRAE’s formal guidance, Guideline 44-202x: Protecting Building Occupants from Smoke During Wildfire and Prescribed Burn Events, is available for public review. Experts from several federal agencies (EPA, NIST, CDC-NIOSH, GSA) are members of the ASHRAE committee that created the forthcoming guidance. States and localities can adopt or encourage the adoption of this guidance to help their communities better prepare for smoke events.
Funding and Legislation for Community Assistance
While FEMA provides multiple funding opportunities for pre-and-post fire hazard mitigation work, wildland fire smoke is not identified as a hazard that can trigger a federal emergency declaration under the Stafford Act and FEMA does not currently fund wildland fire smoke mitigation projects. The S.2387 Wildfire Smoke Emergency Declaration Act of 2023 aims to address this by authorizing the President to declare a smoke emergency and enable FEMA and other federal agencies to “provide emergency assistance to states and local communities that are or will be affected by the emergency, including grants, equipment, supplies, and personnel and resources for establishing smoke shelters, air purifiers, and additional air monitoring sites.“
Another introduced bill, the Cleaner Air Spaces Act of 2023, would direct $30 million to air pollution control agencies via EPA grants for smoke preparedness activities.
In fact, multiple bills have been recently introduced in Congress to address community wildland fire smoke protections and smoke forecasting. None of these bills have made it out of committee as of publication.
It is beyond the scope of this piece to analyze proposed legislation. However, effective community assistance will require additional resources. While the federal government has shown interest in helping communities, a lack of dedicated funding means state, local and Tribal governments interested in smoke-readiness must mine their own budgets, apply for competitive grants from government and nonprofit organizations, and occasionally solicit donations to protect vulnerable community members. As a result, a community’s wildland fire smoke protection often depends on the capacity of state and local government staff and nonprofit partners to apply for grants.
In rural areas, that capacity can be particularly hard to come by. For example, the five-person Central Montana Health District provides public health services for five counties. Also in Montana, the single public health nurse for Granite County is based out of neighboring Deer Lodge County. Communities without persons able to engage in the competitive funding environment for wildland fire smoke response will have lesser public health protections.
Local health departments and air pollution control programs receive federal funding, but it is already too little for the programs to function without additional grants and state and local support. Public health has long been chronically underfunded in the United States., and local health departments do not have the resources on hand to deal with the added threat posed by increasing wildland fire smoke. The federal government is investing billions of dollars to address fuel buildup in our forests in the hope it will lead to reduced catastrophic fire and smoke. Programmatic funding to help communities prepare now for smoke could go a long way to reducing impacts from the smoke we are currently experiencing.
Improved Respirators for the Public
Several agencies recommend the public use NIOSH-certified N95 respirators to protect themselves from the fine particulate matter in wildland fire smoke. However, these respirators are designed for workers, not the public. A 2022 NASEM consensus study report sponsored by EPA, CDC, DOS, and the CDC Foundation identified several shortcomings of N95s as the only respirator for public use, including comfort, limited sizing, incompatibility with facial hair, and incompatibility with some outdoor occupations, such as wildland firefighting. Also, in a work environment with a respiratory protection program, workers undergo a “fit test” to ensure the respirator seals tightly to their face and, when used correctly, will provide the promised protection. The NASEM committee recommended the government establish a research and approval program to guide the development of innovative respiratory protective devices designed for a wide range of public users, including infants, children, and the frail elderly that can provide adequate protection in absence of formal fit testing.
As a positive step toward following some of the NASEM report’s recommendations, NIOSH (collaborating with NASA and Capital Consulting Corporation) recently launched a crowd-sourcing competition to improve respirator fit evaluations and make them more user-friendly for the public. However, there remain many recommendations in the NASEM report that the federal government could take on to improve the public and workers’ protections from wildland fire smoke.
Improved/Comprehensive Communication to Inform the Public About Health Risks and Mitigation Strategies
This review of publicly available information about the federal government’s engagement with wildland fire smoke took us through hundreds of websites and publications. A significant amount of work has gone into characterizing wildland fire smoke movement and identifying prescribed burning windows. Work is also being done to understand the tradeoffs of prescribed fire and wildfire smoke emissions. Meanwhile, significant efforts have been put toward understanding the health and economic burden of wildland fire smoke and how we can better protect people from its harms.
During wildfires, smoke is treated as a hazard across agencies, and the public receives information about how to protect themselves from its impacts. During prescribed fires, the smoke is treated as more of a nuisance or a throwaway concern from land management agencies. News releases about upcoming prescribed fires may mention smoke being visible or present over roadways, but rarely include any recommendations for protective measures the public can take to minimize potential health impacts. Meanwhile, the USFS Wildfire Crisis Strategy documents lean heavily on the need for more prescribed fire, but do not mention the impact from prescribed fire smoke on the public.
In addition, there are many government sites and documents with advice for reducing wildfire risk and creating fire adapted communities (FACs), but often, this advice is limited to protection from flames. (Of note, on the USFS FAC site, the only mention of smoke states: “Fuel reduction projects often involve smoke, so its important residents understand the value of fuel treatments and tolerate the temporary inconvenience of smoke that could reduce the long-term risk of wildfire.”)
These are missed communication opportunities. Anywhere we talk about fire, we should talk about smoke and how to stay protected from its impacts. The more the public sees the government treating smoke seriously and offering practical guidance for staying protected from its impacts, the more likely we can reduce harms from both wildfire and prescribed fire smoke and increase the amount of prescribed fire on the landscape. On a positive note, fireadapted.org, run by the Fire Adapted Communities Network (which counts several federal agencies and collaborations among its members), includes public health and smoke concerns as a key component to fire preparedness.
The EPA, CDC and partner agencies have done the work to create actionable guidance for the public. Anywhere the government writes about wildland fire, it should include the health risks associated with the smoke and the steps the public can take to prepare.The government and media will often breathlessly recount the number of homes lost to fire, but data relaying the number of deaths and illnesses caused by wildland fire smoke are generally missing from public discourse. Too often, this information is relegated to estimates in academic journals and increases in odds and relative risk ratios that are not lay friendly. A recent FAS policy recommendation would see the CDC and EPA create a nationwide data dashboard showing mortality and morbidity attributed to wildland fire smoke. This type of data, presented clearly to the public, could help policy makers and the public better understand the significant harms of wildland fire smoke, which would hopefully lead to more investment in community protections on both the federal and local level.
Conclusion
Wildland fire smoke is a health threat that will return year after year. More wildlands and more homes will burn, and residents across the country will bear that burden via smoke that pools in valleys and travels thousands of miles. The federal government has shown interest in understanding and forecasting wildland fire smoke, and many agencies are taking part in researching smoke’s health impacts and relaying guidance to the public. However, there remain significant funding gaps, both for agency actions and for community assistance. Despite annual death tolls in the thousands, smoke from wildland fires takes a backseat in many fire-oriented federal discussions (for example, EPA and CDC only recently gained seats on the Wildland Fire Leadership Council, which has been around for decades). Hopefully, this will begin to change. The Wildland Fire Mitigation and Management Commission, tasked by Congress to form “federal policy recommendations and strategies on ways to better prevent, manage, suppress and recover from wildfires,” is expected to release their recommendations this fall. With a workgroup focused on public health, we look forward to seeing how the Commission recommends improving the government’s response to the wildland fire smoke crisis.
Impact Fellow Sarah Coefield contributed to this issue brief during her residency at FAS and prior to beginning her assignment at the Environmental Protection Agency.
About This Analysis
NOTE 1: This investigation did not dive into budgetary expenditures, which likely vary widely among agencies. For many agencies, wildland fire smoke work is more tangential to their overall mission. In addition, for EPA, at least, wildland fire smoke work is conducted on the side without a dedicated funding source or staff position.
NOTE 2: This is only an overview of activities by the federal United States government. State, local, Tribal, university, nonprofit and international experts are active in the wildland fire space and contribute significantly to the breadth of wildland fire smoke knowledge and efforts to protect public health.
NOTE 3: This analysis is based on publicly available information to the best of our knowledge at time of publication. It may not encompass all wildland fire smoke efforts at all agencies.
Acronyms:
- BLM: Bureau of Land Management
- CDC: Centers for Disease Control and Prevention
- EPA: Environmental Protection Agency
- FEMA: Federal Emergency Management Agency
- GSA: General Services Administration
- HRSA: Health Resources and Services Administration
- NASA: National Aeronautics and Space Administration
- NOAA: National Oceanic and Atmospheric Administration
- NPS: National Park Service
- DHS: Department of Homeland Security
- DoD: Department of Defense
- DOE: Department of Energy
- DOI: Department of Interior
- USGS: United States Geological Survey
- NFS: National Science Foundation
- NIEHS: National Institute of Environmental Health Sciences
- NIH: National Institutes of Health
- NIOSH: National Institute for Occupational Safety and Health
- NIST: National Institute of Standards and Technology
- OSHA: Occupational Safety and Health Administration
- USFS: United States Forest Service
Six hot opportunity areas to beat the heat through federal policy
Extreme heat is the number one weather-related killer of Americans, yet receives minimal targeted federal support and dedicated funding for planning, mitigation, and recovery.
This summer, 130 million Americans were placed under some type of heat alert. National records for heat continue to be shattered each month, with July estimated to be the hottest month recorded on Earth. This relentless heat will continue to affect millions of Americans in August and for every summer to come.
Extreme heat is the number one weather-related killer of Americans, yet receives minimal targeted federal support and dedicated funding for planning, mitigation, and recovery. Unlike other weather-related disasters, the consequences of extreme heat are hard to respond to and challenging to account for under current federal law. For starters, the Stafford Act does not consider extreme heat to be a Major Disaster (Sec. 102), barring sufficient coordinated federal action. Further, extreme heat is not only risky to infrastructure, like our power grids, roads, and homes, but also has devastating direct impacts on public health.
Prolonged exposure to extreme heat increases the risk of developing potentially fatal heat-related illnesses, such as heat stroke where the human body reaches dangerously high internal temperatures. If a person cannot cool down, especially when the nights bring no relief from the heat, this high core temperature can result in organ failure, cognitive damage, and death. These human health impacts are harder to account for in benefit-cost analyses that drive disaster preparedness funding allocations. Extreme heat is a crisis that impacts everyone. However, certain populations are more vulnerable to the increased health risks from heat, including older adults, outdoor workers, those with preexisting health conditions, low income communities, and people experiencing homelessness.
Extreme heat also creates conditions that increase the likelihood and severity of other natural hazards, such as droughts and wildfires, further threatening public health. These compounding disasters put a major strain on national and global agricultural systems and threaten food security. This is particularly true for low-income communities as “heatflation” makes staple foods more unaffordable.
We can better prevent, manage, and recover from extreme heat. With increased federal attention towards the effects of extreme heat and climate adaptation and resilience, there is an opportunity to take action. Federal policy can be a powerful lever of systems change, ensuring better coordination across federal agencies, state and local governments, and public and private sectors to beat the heat.
Starting now, the Federation of American Scientists is launching an Open Call for Extreme Heat Policy Ideas to source policy solutions to improve how the federal government coordinates a comprehensive response to heat. FAS is collecting ideas throughout Fall 2023 to prepare effectively for the next heat season. More information can be found by following this link.
FAS has completed a preliminary diagnosis of six opportunity areas for innovative extreme heat policy ideas that can make the most substantial impact on American heat resiliency: Infrastructure, Workforce, Public Health, Food Security, Planning and Management, and Data and Indices.
Infrastructure
Many Americans offset heat through increasing their use of air conditioning. Yet, this creates many issues, including the risk of overloading our electrical grids, equity concerns surrounding who has continuous access to air conditioning, and variance in the effectiveness of different air conditioning units. 1 in 4 Americans experience energy insecurity which puts them at risk of energy shut-offs, and Americans at large hold $19.3 billion in energy debt as of March 2023.
Further, AC units fail to address fundamental issues in infrastructure, such as the poor design of buildings or lack of building codes that specify maximum temperature inside buildings. A study done by CAPA Strategies and the Portland Bureau of Emergency Management on heat in public housing found that even units with AC saw observed temperatures consistently greater than 80℉, putting the health of residents at risk. Even more alarming, research has projected that in the event of a multi-day blackout during a heatwave, the heat-related mortality rate in Phoenix, Atlanta, and Detroit would increase dramatically. In Phoenix, more than 50% of the urban population would require medical attention. This calls into question an AC-only heat mitigation strategy. Rather, how we design and build our infrastructure can make our communities more heat resilient.
Extreme heat presents multiple challenges to our current infrastructure, including concerns over grid and transportation resilience, lack of building codes for heat, lack of well-researched passive cooling technologies (i.e. non-air conditioning) to combat heat, and urban planning and design to beat the heat. Infrastructure investments, such as increasing grid resilience and creating more urban green space and nature-based solutions, can serve as preventive measures to keep communities cool as temperatures continue to rise.
With the Bipartisan Infrastructure Law and the Inflation Reduction Act, several federal agencies have created programs that could address infrastructure concerns surrounding extreme heat.
- The Department of Energy has allotted $2.5 billion in grants to support grid resilience programs designed to reduce impacts from extreme weather and natural disasters.
- The Department of Energy Weatherization Assistance Program increases energy efficiency in homes to reduce costs to low-income households.
- The Department of Transportation PROTECT grants provides $1.4 billion to improving surface transportation resilience from natural hazards.
- The Department of Housing and Urban Development provides $4.8 billion for green and resilient retrofits of assisted multifamily properties.
- The Department of Agriculture has allotted $250 million in urban and community forestry grants to provide funding to increase urban canopy in disadvantaged communities.
- The Federal Emergency Management Agency has the Building Resilient Infrastructure and Communities (BRIC) program to support hazard mitigation projects.
- The Department of Health and Human Services created the Low Income Home Energy Assistance Program (LIHEAP) to assist families with energy costs.
While these programs provide necessary support and funding to address infrastructure concerns, multiple gaps still persist. First, federal agencies may have capital but are not coordinated in their approach to addressing extreme heat and proactively building community resilience to heat. The Equitable Long-Term Recovery and Resilience Interagency Working Group has found difficulties in interagency coordination of notices of funding opportunities, place-based engagement for deployment of funds, direct technical assistance to communities, and maintenance of continuous sources of funding along a project’s timeline (i.e. ensure once infrastructure is built that there are people to upkeep passive infrastructure such as green spaces or people to staff active infrastructure like cooling centers). Without strategy and clarity for how communities should proceed and what they should invest in, there will be no sustainable change in infrastructure across the nation.
Second, nuances in specific programs and the way grants are chosen through benefit-cost analysis (i.e. greater value to property damage over harder to quantify measures like impacts on human lives) may limit funding that goes to projects specifically focused on extreme heat. For example, while communities have been told that FEMA’s BRIC can fund extreme heat resilience, BRIC grant applications have been repeatedly rejected for extreme heat-related projects, a consequence of the “cost-effective” statute for BRIC. Even if a cooling center is approved, BRIC money cannot staff the center in the event of a disaster.
Third, many jurisdictions around the country lack building codes that specify a maximum indoor temperature inside buildings as well as required strategies to mitigate extreme heat – contributing to heightened risk for individuals developing heat-related illnesses.
Workforce
Rising temperatures place many members of the workforce, such as farmworkers and construction workers, at increased risk for heat-related illnesses. Extreme heat also leads to immense losses in workplace productivity, with research estimating a total annual loss of $100 billion to the U.S. economy. Without any measures to address the impacts of extreme heat in the future, this figure could double to $200 billion by 2030 and $500 billion by 2050. The Occupational Safety and Health Administration (OSHA) within the Department of Labor recently released a heat hazard alert which provides information to employers about how they should be protecting employees in extreme heat conditions as well as information on employees’ rights. With recent direction from the White House, OSHA will also increase its inspections and enforcement of violations in industries at higher risk for extreme heat, such as agriculture. Yet, OSHA is historically under-resourced in its ability to effectively carry out inspections and enforcement, with each inspector now responsible for securing the rights of 200,000 workers.
This under-resourcing extends to OSHA’s ability to create a national standard for protection against extreme heat which is still years off from implementation. This leaves employee protection to state-level standards. Some states, including California and Oregon, have issued heat standards to protect workers. Yet, other states, such as Texas, have eliminated the requirement for employers to provide basic safety measures like water breaks. In this current system, employees are being put at significant risk. Providing employees consistent breaks for water and shade while working in extreme heat conditions is a simple way to mitigate these risks while lowering costs of workers’ compensation for employers in the event of a work-exposure related heat illness.
Public Health
Each summer, extreme heat can cost the healthcare industry upwards of $1 billion dollars. Exposure to extreme heat, and often accompanying high humidity, can cause multiple heat-related illnesses, including heat cramps, heat exhaustion and heat stroke. The risks of developing severe symptoms are heightened by social and environmental factors, such as lack of access to air conditioning, shade, or transportation to medical centers. Individual factors, including types of medication being taken, can also increase sensitivity towards heat. Further, rising temperatures exacerbate negative mental health outcomes, such as fatigue and aggression.
When patients with a heat-illness are admitted to the hospital, there are numerous limitations with coordination and response. Diagnostic codes, used for insurance claims, exist for heat-related illness. However, physicians may not recognize the symptoms of heat-related illnesses and instead diagnose and assign other related codes, such as dehydration. Therefore, patients may not be properly diagnosed and treated. This also leads to significant underreporting of the effects of extreme heat on health.
Quick coordination and response by health care professionals is critical in preventing long-term damage. A nationwide survey by Americares found that less than 20% of staff in clinics feel that their clinics are “very resilient” to extreme weather. During the Northwest Heat Dome in 2021, a lack of coordinated public health preparation led to 229 deaths, more than any other disaster that year. In order to increase preparedness and timely response, it is essential for the public health workforce to be educated on best practices in responding to heat-illnesses. For example, after the Northwest Heat Dome, Seattle has begun to implement new plans for hospitals to meet to review best practices if extreme heat is forecasted, including checking whether centers have ice and body bags available.
Extreme heat can also have unexpected consequences on public health. For instance, extreme heat creates favorable conditions for infectious disease carriers, such as ticks and fungal spores, to exist in areas of the country where they were historically unable to survive. Transmission of disease is also more likely as people congregate in community hubs, such as cooling centers or beaches.
As heat waves become more frequent and intense across the nation, it’s critical to create standardized coordination efforts. The Office of Climate Change and Health Equity serves as a resource hub, producing a seasonal Climate and Health Outlook and the new Heat-Related Emergency Medical Services Activation Surveillance Dashboard. Yet, they are not federally funded and are therefore limited in their capacity to coordinate heat and health resilience. In terms of public health preparedness resources, the Center for Disease Control’s (CDC) Climate Ready States and Cities Initiative can only support nine states, one city, and one county, despite 40 jurisdictions having applied. The Trust for America’s Health (TFAH) found increasing funding from $10 million to $110 million is required to support all states, and improve climate surveillance.
The threat of extreme heat speaks to a critical need for a funded agency or office to take a leadership role in the following three efforts: 1) strengthening holistic natural disaster resiliency and response efforts within the healthcare and public health sectors through interagency collaboration 2) orchestrating and supporting efforts to close information gaps, synthesize data, and identify practical applications of information on natural disasters and climate threats and 3) coordinate efforts to develop communication and education on climate-related health threats.
Food Security
Extreme heat and its exacerbation of other natural hazards, including droughts, can have a significant impact on our agricultural productivity and food security. The COVID-19 pandemic has illustrated the impact of large-scale emergencies on our national and global food supply chains and distribution systems.
Increases in temperature may directly cause a reduction in crop growth and agricultural yields by affecting plants’ growth cycle. Rising temperatures affect livestock, potentially leading to increased mortality and reduced production of certain products, such as milk and eggs. It also impacts the way food can be stored and transported. Changes in food supply can ultimately increase the costs of certain foods and thus may not be affordable for everyone, particularly low-income populations.
Extreme heat also contributes to the creation of favorable conditions for droughts, increasing the risk for crop failure. For instance, in Texas and the Midwest, extended droughts are causing farmers to be concerned about their agricultural yields and placing too heavy of a reliance on irrigation systems. Over a thousand communities are currently under disaster designation by the USDA this summer because of extended drought exacerbated by extreme heat.
It is critical for resources to be devoted to the research and development of strategies to improve the heat resilience of crops and livestock given the economic unsustainability of evergreen emergency disaster assistance. A report by the Perry World House Center recommended specific strategies including restorative agriculture practices, diversifying crop production, and learning from indigenous agricultural practices. The US Department of Agriculture’s Climate Hubs provide information on climate resilience to inform decision-making by natural resource and agricultural managers – and would benefit from additional appropriations. Additionally, the USDA’s Partnerships for Climate Smart Commodities is investing $1 billion into financing pilot projects that use climate-smart practices, yet no projects focus explicitly on extreme heat resiliency.
Planning and Management
Despite its immense impacts, extreme heat is not considered a hazard that can trigger a federal emergency declaration under the Stafford Act. Many agencies, such as the Department of Interior and Housing and Urban Development, are not able to unlock funds without an emergency declaration and supplemental appropriations from Congress, illustrating the need to create more active resilience measures for these agencies to strategically act on extreme heat.
The lack of specific staff within agencies and overarching federal leadership for heat resilience, response, and recovery limits an effective and coordinated response. Communities need agencies to have the tools, guidance, and technical assistance needed for implementation of extreme heat resilience. Lastly, having no federal office with national responsibility for extreme heat presents a major risk as certain parts of the country reach the upper limits of human habitability despite all resilience efforts triggering potentially destabilizing internal climate migrations.
Within local and state governments, there is often no specific agency or officer responsible for heat. Currently, only a handful of local jurisdictions are beginning to experiment with different organizational structures to address heat, such as the appointment of a designated Chief Heat Officer in Miami-Dade, Florida. On the state and local level, there is a lack of research into which organizational structure is most effective and efficient at extreme heat mitigation and response. In addition, there’s no incentive from the federal government for local jurisdictions to create effective heat response personnel.
Finally, many states and local jurisdictions fail to plan for heat as a part of their Hazard Mitigation Plans, often required by FEMA to unlock disaster preparedness and recovery investments. Yet, there are currently no best practices on how to plan and respond, beyond high-level, non-specific guidance documents from the CDC and Environmental Protection Agency, leaving each city to create their own plans of action.
Data and Indices
While heat blankets entire regions, its impacts are not felt equitably across the population. Urban heat island effects can make parts of cities far hotter – thus worsening the disaster for people residing in these zones. Further, there is a lack of consensus over how to name, categorize, and communicate the severity of extreme heat events. Heat is very context dependent. Temperature is not the only consideration in determining the severity of heat. Levels of humidity are an integral factor in determining the extent to which the human body can control internal temperature.
Inadequate data collection can result in underestimating the severity of heat, particularly in urban neighborhoods. Localized factors, including neighborhood design and the infrastructure of individual buildings can exacerbate the severity and consequences of heat. Within one city or local jurisdiction, data for heat can vary by multiple degrees. When these temperatures are not accurately accounted for, it can contribute to lack of efficient planning and emergency management. The National Oceanic and Atmospheric Administration and the Center for Disease Control created the National Integrated Heat Health Information System (NIHHIS) to provide tools and information on extreme heat. While NIHHIS produces useful information, such as the vulnerability mapping tool and urban heat island mapping campaign with the EPA, there is still a gap in applying this information and connecting localities with useful data and information on which strategies are most effective at combating extreme heat. Since this issue is dependent on context and locality, it’s crucial to have a system that collects nuanced data that tracks all of the impacts of extreme heat.
Issues in communicating extreme heat’s severity arise because different heat indices use different standards and ultimately communicate output at varying levels of severity. This contributes to confusion surrounding what temperatures should constitute extreme heat. For instance, heat index calculations are a common measurement that take humidity into account. However, the formula assumes that people are resting in the shade. On the other hand, Wet Bulb Globe temperature calculations use direct sunshine measurements and assume people are active. Both of these measurements assume people are healthy. Not only does this create confusion about which index to rely on, it also excludes and may underestimate the severity of heat in certain populations. Naming heat waves is one solution that’s been explored in Spain to make it easier to explain the severity of extreme heat to the public.
Extreme heat presents multiple challenges to our planning, response, and management systems. While the consequences of extreme heat can be deadly, they can be avoided with a coordinated and comprehensive federal response. If you’re feeling inspired to act, submit an idea to our Open Call for Extreme Heat Policy Ideas here.
FY24 NDAA AI Tracker
As both the House and Senate gear up to vote on the National Defense Authorization Act (NDAA), FAS is launching this live blog post to track all proposals around artificial intelligence (AI) that have been included in the NDAA. In this rapidly evolving field, these provisions indicate how AI now plays a pivotal role in our defense strategies and national security framework. This tracker will be updated following major updates.
Senate NDAA. This table summarizes the provisions related to AI from the version of the Senate NDAA that advanced out of committee on July 11. Links to the section of the bill describing these provisions can be found in the “section” column. Provisions that have been added in the manager’s package are in red font. Updates from Senate Appropriations committee and the House NDAA are in blue.
House NDAA. This table summarizes the provisions related to AI from the version of the House NDAA that advanced out of committee. Links to the section of the bill describing these provisions can be found in the “section” column.
Funding Comparison. The following tables compare the funding requested in the President’s budget to funds that are authorized in current House and Senate versions of the NDAA. All amounts are in thousands of dollars.
On Senate Approps Provisions
The Senate Appropriations Committee generally provided what was requested in the White House’s budget regarding artificial intelligence (AI) and machine learning (ML), or exceeded it. AI was one of the top-line takeaways from the Committee’s summary of the defense appropriations bill. Particular attention has been paid to initiatives that cut across the Department of Defense, especially the Chief Digital and Artificial Intelligence Office (CDAO) and a new initiative called Alpha-1. The Committee is supportive of Joint All-Domain Command and Control (JADC2) integration and the recommendations of the National Security Commission on Artificial Intelligence (NSCAI).
On House final bill provisions
Like the Senate Appropriations bill, the House of Representatives’ final bill generally provided or exceeded what was requested in the White House budget regarding AI and ML. However, in contract to the Senate Appropriations bill, AI was not a particularly high-priority takeaway in the House’s summary. The only note about AI in the House Appropriations Committee’s summary of the bill was in the context of digital transformation of business practices. Program increases were spread throughout the branches’ Research, Development, Test, and Evaluation budgets, with a particular concentration of increased funding for the Defense Innovation Unit’s AI-related budget.
Six Policy Ideas for the National AI Strategy
The White House Office of Science and Technology Policy (OSTP) has sought public input for the Biden administration’s National AI Strategy, acknowledging the potential benefits and risks of advanced AI. The Federation of American Scientists (FAS) was happy to recommend specific actions for federal agencies to safeguard Americans’ rights and safety. With U.S. companies creating powerful frontier AI models, the federal government must guide this technology’s growth toward public benefit and risk mitigation.
Recommendation 1: OSTP should work with a suitable agency to develop and implement a pre-deployment risk assessment protocol that applies to any frontier AI model.
Before launching a frontier AI system, developers must ensure safety, trustworthiness, and reliability through pre-deployment risk assessment. This protocol aims to thoroughly analyze potential risks and vulnerabilities in AI models before deployment.
We advocate for increased funding towards the National Institute of Standards and Technology (NIST) to enhance its risk measurement capacity and develop robust benchmarks for AI model risk assessment. Building upon NIST’s AI Risk Management Framework (RMF) will standardize metrics for evaluation incorporating various cases such as open-source models, academic research, and fine-tuning of models which differ from larger labs like OpenAI’s GPT-4.
We propose the Federal Trade Commission (FTC), under Section 5 of the FTC Act, implement and enforce this pre-deployment risk assessment strategy. The FTC’s role to prevent unfair or deceptive practices in commerce is aligned with mitigating potential risks from AI systems.
Recommendation 2: Adherence to the appropriate risk management framework should be compulsory for any AI-related project that receives federal funding.
The U.S. government, as a significant funder of AI through contracts and grants, has both a responsibility and opportunity. Responsibility: to ensure that its AI applications meet a high bar for risk management. Opportunity: to enhance a culture of safety in AI development more broadly. Adherence to a risk management framework should be a prerequisite for AI projects seeking federal funds.
Currently, voluntary guidelines such as NIST’s AI RMF exist, but we propose making these compulsory. Agencies should require contractors to document and verify the risk management practices in place for the contract. For agencies that do not have their own guidelines, the NIST AI RMF should be used. And the NSF should require documentation of the grantee’s compliance with the NIST AI RMF in grant applications for AI projects. This approach will ensure all federally funded AI initiatives maintain a high bar for risk management.
Recommendation 3: NSF should increase its funding for “trustworthy AI” R&D.
“Trustworthy AI” refers to AI systems that are reliable, safe, transparent, privacy-enhanced, and unbiased. While NSF is a key non-military funder of AI R&D in the U.S., our rough estimates indicate that its investment in fields promoting trustworthiness has remained relatively static, accounting for only 10-15% of all AI grants. Given its $800 million annual AI-related budget, we recommend that NSF direct a larger share of grants towards research in trustworthy AI.
To enable this shift, NSF could stimulate trustworthy AI research through specific solicitations; launch targeted programs in this area; and incorporate a “trustworthy AI” section in funding applications, prompting researchers to outline the trustworthiness of their projects. This would help evaluate AI project impacts and promote proposals with significant potential in trustworthy AI. Lastly, researchers could be requested or mandated to apply the NIST AI RMF during their studies.
Recommendation 4: FedRAMP should be broadened to cover AI applications contracted for by the federal government.
The Federal Risk and Authorization Management Program (FedRAMP) is a government-wide initiative that standardizes security protocols for cloud services. Given the rising utilization of AI services in federal operations, a similar system of security standards should apply to these services, since they are responsible for managing highly sensitive data related to national security and individual privacy.
Expanding FedRAMP’s mandate to include AI services is a logical next step in ensuring the secure integration of advanced technologies into federal operations. Applying a framework like FedRAMP to AI services would involve establishing robust security standards specific to AI, such as secure data handling, model transparency, and robustness against adversarial attacks. The expanded FedRAMP program would streamline AI integration into federal operations and avoid repetitive security assessments.
Recommendation 5: The Department of Homeland Security should establish an AI incidents database.
The Department of Homeland Security (DHS) needs to create a centralized AI Incidents Database, detailing AI-related breaches, failures and misuse across industries. Its existing authorization under the Homeland Security Act of 2002 makes DHS capable of this role. This database would increase understanding, mitigate risks, and build trust in AI systems’ safety and security.
Voluntary reporting from AI stakeholders should be encouraged while preserving data confidentiality. For effectiveness, anonymized or aggregated data should be shared with AI developers, researchers, and policymakers to better understand AI risks. DHS could use existing databases such as the one maintained by the Partnership on AI and Center for Security and Emerging Technologies, as well as adapt reporting methods from global initiatives like the Financial Services Information Sharing and Analysis Center.
Recommendation 6: OSTP should work with agencies to streamline the process of granting Interested Agency Waivers to AI researchers on J-1 visas.
The ongoing global competition in AI necessitates attracting and retaining a diverse, highly skilled talent pool. The US J-1 Exchange Visitor Program, often used by visiting researchers, requires some participants to return home for two years before applying for permanent residence.
Federal agencies can waive this requirement for certain individuals via an “Interested Government Agency” (IGA) request. Agencies should establish a transparent, predictable process for AI researchers to apply for such waivers. The OSTP should collaborate with agencies to streamline this process. Taking cues from the Department of Defense’s structured application process, including a dedicated webpage, application checklist, and sample sponsor letter, could prove highly beneficial for improving the transition of AI talent to permanent residency in the US.
Review the details of these proposals in our public comment.
Advanced Research Priorities in Transportation
The Federation of American Scientists (FAS) has identified several domains in the transportation and infrastructure space that retain a plethora of unsolved opportunities ripe for breakthrough innovation.
Transportation is not traditionally viewed as a research- and development-led field, with less than 0.7% of the U.S. Department of Transportation (DOT) annual budget dedicated to R&D activities. The majority of DOT’s R&D funds are disbursed by modal operating administrators mandated to execute on distinct funding priorities rather than a collective, integrated vision of transforming the nation’s infrastructure across 50 states and localities.
Historically, a small percentage of these R&D funds have supported and developed promising, cross-cutting initiatives, such as the Federal Highway Administration’s Exploratory Advanced Research programs deploying artificial intelligence to better understand driver behavior and applying novel data integration techniques to enhance freight logistics. Yet, the scope of these programs has not been designed to scale discoveries into broad deployment, limiting the impact of innovation and technology in transforming transportation and infrastructure in the United States.
As a result, transportation and infrastructure retain a plethora of unaddressed opportunities – from reducing the 40,000 annual vehicle-related fatalities, to improving freight logistics through ports, highways, and rail, to achieving a net zero carbon transportation system, to building infrastructure resilient to the impacts of climate change and severe weather. The reasons for these persistent challenges are numerous: low levels of federal R&D spending, fragmentation across state and local government, risk-averse procurement practices, sluggish commercial markets, and more. When innovations do emerge in this field, they suffer from two valleys of death: one to bring new ideas out of the lab into commercialization, and the second to bring successful deployments of those technologies to scale.
The United States needs a concerted national innovation pipeline designed to fill this gap, exploring early-stage, moonshot research while nurturing breakthroughs from concept to deployment. An Advanced Research Projects Agency-Infrastructure would deliver on this mission. Modeled after the Defense Advanced Research Projects Agency (DARPA) and the Advanced Research Projects Agency-Energy (ARPA-E), the Advanced Research Projects Agency-Infrastructure (ARPA-I) will operate nimbly and with rigorous program management and deep technical expertise to tackle the biggest infrastructure challenges and overcome entrenched market failures. Solutions would cut across traditional transportation modes (e.g. highways, rail, aviation, maritime, pipelines etc) and would include innovative new infrastructure technologies, materials, systems, capabilities, or processes.
The list of domain areas below reflects priorities for DOT as well as areas where there is significant opportunity for breakthrough innovation:
Key Domain Areas
Metropolitan Safety
Despite progress made since 1975, dramatic reductions in roadway fatalities remain a core, persistent challenge. In 2021, an estimated 42,915 people were killed in motor vehicle crashes, with an estimated 31,785 people killed in the first nine months of 2022. The magnitude of this challenge is articulated in DOT’s most recent National Roadway Safety Strategy, a document that begins with a statement from Secretary Buttigieg: “The status quo is unacceptable, and it is preventable… Zero is the only acceptable number of deaths and serious injuries on our roadways.”
Example topical areas include but are not limited to: urban roadway safety; advanced vehicle driver assistance systems; driver alcohol detection systems; vehicle design; street design; speeding and speed limits; and V2X (vehicle-to-everything) communications and networking technology.
Key Questions for Consideration:
- What steps can be taken to create safer urban mobility spaces for everyone, and what role can technology play in helping create the future we envision?
- What capabilities, systems, and datasets are we missing right now that would unlock more targeted safety interventions?
Rural Safety
Rural communities possess their own unique safety challenges stemming from road design and signage, speed limits, and other factors; and data from the Federal Highway Administration shows that “while only 19% of the U.S. population lives in rural areas, 43% of all roadway fatalities occur on rural roads, and the fatality rate on rural roads is almost 2 times higher than on urban roads.”
Example topical areas include but are not limited to: improved information collection and management systems; design and evaluation tools for two-lane highways and other geometric design decisions; augmented visibility; mitigating or anti-rollover crash solutions; and enhanced emergency response.
Key Questions for Consideration:
- How can rural-based safety solutions address the resource and implementation issues that are faced by local transportation agencies?
- How can existing innovations be leveraged to support the advancement of road safety in rural settings?
Resilient & Climate Prepared Infrastructure
Modern roads, bridges, and transportation are designed to withstand storms that, at the time of their construction, had a probability of occurring once in 100 years; today, climate change has made extreme weather events commonplace. In 2020 alone, the U.S. suffered 22 high-impact weather disasters that each cost over $1 billion in damages. When Hurricane Sandy hit New York City and New Jersey subways with a 14-foot storm surge, millions were left without their primary mode of transportation for a week. Meanwhile, rising sea levels are likely to impact both marine and air transportation, as 13 of the 47 largest U.S. airports have at least one runway within 12 feet of the current sea level. Additionally, the persistent presence of wildfires–which are burning an average of 7 million acres annually across the United States, more than double the average in the 1990s–dramatically reshapes the transportation network in acute ways and causes downstream damage through landslides, flooding, and other natural events.
These trends are likely to continue as climate change exacerbates the intensity and scope of these events. The Department of Transportation is well-positioned to introduce systems-level improvements to the resilience of our nation’s infrastructure.
Example topical areas include but are not limited to: High-performance long-life, advanced materials that increase resiliency and reduce maintenance and reconstruction needs, especially materials for roads, rail, and ports; nature-based protective strategies such as constructed marshes; novel designs for multi-modal hubs or other logistics/supply chain redundancy; efficient and dynamic mechanisms to optimize the relocation of transportation assets; intensive maintenance, preservation, prediction, and degradation analysis methods; and intelligent disaster-resilient infrastructure countermeasures.
Key Questions for Consideration:
- How can we ensure that innovations in this domain yield processes and technologies that are flexible and adaptive enough to ward against future uncertainties related to climate-related disasters?
- How can we factor in the different climate resilience needs of both urban and rural communities?
Digital Infrastructure
Advancing the systems, tools, and capabilities for digital infrastructure to reflect and manage the built environment has the power to enable improved asset maintenance and operations across all levels of government, at scale. Advancements in this field would make using our infrastructure more seamless for transit, freight, pedestrians, and more. Increased data collection from or about vehicle movements, for example, enables user-friendly and demand-responsive traffic management, dynamic curb management for personal vehicles, transit and delivery transportation modes, congestion pricing, safety mapping and targeted interventions, and rail and port logistics. When data is accessible by local departments of transportation and municipalities, it can be harnessed to improve transportation operations and public safety through crash detection as well as to develop Smart Cities and Communities that utilize user-focused mobility services; connected and automated vehicles; electrification across transportation modes, and intelligent, sensor-based infrastructure to measure and manage age-old problems like potholes, air pollution, traffic, parking, and safety.
Example topical areas include but are not limited to: traffic management; curb management; congestion pricing; accessibility; mapping for safety; rail management; port logistics; and transportation system/electric grid coordination.
Key Questions for Consideration:
- How might we leverage data and data systems to radically improve mobility and our transportation system across all modes?
Expediting and Upgrading Construction Methods
Infrastructure projects are fraught with expensive delays and overrun budgets. In the United States, fewer than 1 in 3 contractors report finishing projects on time and within budgets, with 70% citing coordination at the site of construction as the primary reason. In the words of one industry executive, “all [of the nation’s] major projects have cost and schedule issues … the truth is these are very high-risk and difficult projects. Conditions change. It is impossible to estimate it accurately.” But can process improvements and other innovations make construction cheaper, better, faster, and easier?
Example topical areas include but are not limited to: augmented forecasting and modeling techniques; prefabricated or advanced robotic fabrication, modular, and adaptable structures and systems such as bridge sub- and superstructures; real-time quality control and assurance technologies for accelerated construction, materials innovation; new pavement technologies; bioretention; tunneling; underground infrastructure mapping; novel methods for bridge engineering, building information modeling (BIM), coastal, wind, and offshore engineering; stormwater systems; and computational methods in structural engineering, structural sensing, control, and asset management.
Key Questions for Consideration:
- What innovations are more critical to the accelerated construction requirements of the future?
Logistics
Our national economic strength and quality of life depend on the safe and efficient movement of goods throughout our nation’s borders and beyond. Logistic systems—the interconnected webs of businesses, workers, infrastructure processes, and practices that underlie the sorting, transportation, and distribution of goods must operate with efficiency and resilience. . When logistics systems are disrupted by events such as public health crises, extreme weather, workforce challenges, or cyberattacks, goods are delayed, costs increase, and Americans’ daily lives are affected. The Biden Administration issued Executive Order 14017 calling for a review of the transportation and logistics industrial base. DOT released the Freight and Logistics Supply Chain Assessment in February 2022, spotlighting a range of actions that DOT envisions to support a resilient 21st-century freight and logistics supply chain for America.
Topical areas include but are not limited to: freight infrastructure, including ports, roads, airports, and railroads; data and research; rules and regulations; coordination across public and private sectors; and supply chain electrification and intersections with resilient infrastructure.
Key Questions for Consideration:
- How might we design and develop freight infrastructure to maximize efficiency and use of emerging technologies?
- What existing innovations and technologies could be introduced and scaled up at ports to increase the processing of goods and dramatically lower the transaction costs of US freight?
- How can we design systems that optimize for both efficiency and resilience?
- How can we reduce the negative externalities associated with our logistics systems, including congestion, air pollution, noise, GHG emissions, and infrastructure degradation?
Suggestions about Japan’s Nuclear Fuel Recycling Policy Based on U.S. Concerns
To date, Japan’s peaceful nuclear energy use has taken the form of a nuclear fuel recycling policy that reprocesses spent fuel and effectively utilizes the plutonium retrieved in light water reactors (LWRs) and fast reactors (FRs). With the aim to complete recycling domestically, Japan has introduced key technology from abroad and has further developed its own technology and industry. However, Japan presently seems to have issues regarding its recycling policy and plutonium management.
Because of recent increasing risks of terrorism and nuclear proliferation in the world, the international community seeks much more secure use of nuclear energy. All of the countries that store plutonium (which can be used for making nuclear weapons) must make the best efforts possible to decrease it. Taking this into account, concerns about Japan’s problem of plutonium management have been growing in the international community and Japan’s accountability for its recycling policy is essential.
In this paper, Yusei Nagata, an FAS Research Fellow from MEXT, Japan, analyzes U.S. experts’ opinions and concerns about Japan’s problem and considers what Japan can (and should) do to solve it.
Read the full report here.