Research funding agencies should apply the content of grant applications to AI tools to predict the future of scientific and technological breakthroughs, enhance peer review, and encourage better research investment decisions by both the public and the private sector.
To meet growing tech industry energy demands without imposing a staggering toll on individual energy consumers, Congress should create a pathway for data centers to be viably integrated into Thermal Energy Networks.
Rebuilding such labs in a 21st century “Bell Labs X” form would restore a powerful and uniquely American approach to technoscientific discovery—harnessing the private sector to discover and invent in ways that fundamentally improve U.S. national and economic competitiveness.
The federal government should establish a system for awarding bounties to people who identify fraud in federally-funded research.
As surrogate markers are increasingly being accepted by FDA to support approval of new drugs and biologics, it is imperative that patients and clinicians understand whether such novel endpoints are reflective of meaningful clinical benefits.
The Secretary of Health and Human Services should launch a Department-wide initiative to reduce wasteful spending on health services, drugs, and ineffective medical devices, saving many lives as well as billions of dollars annually.
Bureaucracy significantly hinders federally funded scientific research, diverting scientists’ time from discovery to low-value administrative tasks.
Mandated publication would ensure all federal grants have outputs, whether hypotheses were supported or not, reducing repetition of ideas in future grant applications.
A deeper understanding of methane could help scientists better address these impacts – including potentially through methane removal.
Inconsistent metrics and opaque reporting make future AI power‑demand estimates extremely uncertain, leaving grid planners in the dark and climate targets on the line
Federal and state governments need to ensure that the development of new AI and data center infrastructure does not increase costs for consumers, impact the environment, and exacerbate existing inequalities.
As AI becomes more capable and integrated throughout the United States economy, its growing demand for energy, water, land, and raw materials is driving significant economic and environmental costs, from increased air pollution to higher costs for ratepayers.