The COVID Emergency is Almost Over—What Did We Learn About Rapid R&D?
This month marks three years since the COVID pandemic took hold of nearly every aspect of American life. In a few more months (May 2023) the coronavirus public health emergency is set to conclude officially, following the Administration’s announcement to wind down the declarations. As the nation grapples with the tragedies and lasting effects of the pandemic, it should also take lessons from the most successful elements of how the government responded to the challenge. The most notable success might be Operation Warp Speed (OWS), the highly successful public-private partnership that produced and distributed millions of live-saving vaccines in record time. Our new memo, How to Replicate the Success of Operation Warp Speed, helps this audience assess how and if they even should attempt to replicate the approach.
The Federation of American Scientists, together with our partners at 1Day Sooner and the Institute for Progress (IFP), convened leadership from the original OWS team, agency heads, Congressional staffers, researchers, and representatives from vaccine manufacturers in November 2022 to reflect on the success of the program and future applications of the model. The memo was developed primarily from notes on presentations, panel discussions, and lively breakout conversations that were both reflective and forward looking. This piece complements other analyses by providing a practical, playbook-style approach. Those looking to replicate the success of OWS should consider the stakeholder landscape and the state of fundamental science before designing a portfolio of policy interventions.
Assess the stakeholder landscape and science surrounding the challenge
A program on the exact scale of OWS will only work for major national challenges that are self-evidently important and urgent. Designers should assess the stakeholder landscape and consider the political, regulatory, and behavioral contexts. The fundamental research must exist, and the goal should require advancing it for a specific use case at scale. Technology readiness levels (TRLs) can help guide technology assessment—a level of at least 5 is a good bet. All decisions about technology readiness should be made using the best available science, data, and demonstrated capabilities.
Design an agile program by selecting a portfolio of interventions
Choose a selection of the mechanisms below informed by the stakeholder and technology assessment. The organization of R&D, manufacturing, and deployment should be inspired by agile methodology, in which planning is iterative and more risk than normal is accepted.
- Establish a leadership team across federal agencies
- Coordinate federal agencies and the private sector
- Activate latent private-sector capacities for labor and manufacturing
- Shape markets with demand-pull mechanisms
- Reduce risk with diversity and redundancy
Operation Warp Speed was a historic accomplishment on the level of the Manhattan Project and the Apollo program, but the unique approach is not appropriate for everything. Read the full memo to understand the mechanisms and the types of challenges best suited for this approach. Even if a challenge does not meet the criteria for the full OWS treatment, the five mechanisms can be applied individually to better coordinate agencies and the private sector toward solutions.
In anticipation of future known and unknown health security threats, including new pandemics, biothreats, and climate-related health emergencies, our answers need to be much faster, cheaper, and less disruptive to other operations.
To unlock the full potential of artificial intelligence within the Department of Health and Human Services, an AI Corps should be established, embedding specialized AI experts within each of the department’s 10 agencies.
The U.S. government should establish a public-private National Exposome Project (NEP) to generate benchmark human exposure levels for the ~80,000 chemicals to which Americans are regularly exposed.
The federal government is responsible for ensuring the safety and privacy of the processing of personally identifiable information within commercially available information used for the development and deployment of artificial intelligence systems