Michael Kratsios: Trump's Science Agenda, Anti-Science Claims, Fauci's Damage, DEI & China

Summary

Michael Kratsios argues that the White House science office is meant to coordinate America’s fragmented research apparatus, not operate as a standalone agency, and says the administration’s goal is to double U.S. scientific output by applying AI to hard problems. He rejects the “anti-science” label, instead arguing that science has been politicized, grantmaking has drifted toward low-productivity spending, and institutions such as NSF and NIH should run metascience experiments to test what actually improves outcomes. The episode also revisits climate policy, DEI-related grant allocations, the aging NIH workforce, and the need to make grants more scientist-centered and flexible. A major thread is the strategic race with China: Kratsios says the U.S. should preserve a decentralized, merit-based system, invest in mission projects like quantum, fusion, and lunar programs, and expand the STEM pipeline for Americans.

Notes

• OSTP is framed as the White House coordination layer for science and technology, not a separate science agency.
• He rejects the charge that the administration is anti-science.
• The administration’s stated aim is to double U.S. scientific output with AI.
• He says science has become deeply politicized over the last 15 to 20 years.
• He argues government should apply scientific-method thinking to science policy itself.
• He draws a distinction between proposed budgets and Congressional appropriations.
• NSF is described as the premier federal funder of extramural basic research.
• He says a Senate analysis found about 25% of NSF grants under Biden went to DEI-related science.
• He accepts climate change and CO2 emissions but rejects “climate emergency” framing.
• He cites RCP 8.5 as an extreme scenario that was removed for lack of scientific support.
• He emphasizes global energy poverty and dirty cooking fuels.
• NIH funding rose sharply over time without proportional breakthrough output.
• Kratsios agrees American science has stagnated.
• He argues the problem is not just more money but the same institutions and incentives.
• He says there is little incentive in government to audit whether science funding is working.
• Metascience units at NSF and NIH are meant to test alternative funding mechanisms.
• NSF “golden tickets” would let evaluators unilaterally select especially interesting grants.
• He says grant terms should vary because research timelines are heterogeneous.
• NSF graduate fellowships are portable and allow universities to compete for students.
• The government should focus on basic, early-stage, pre-competitive discovery R&D.
• He says the government is not trying to outspend private AI, but wants basic researchers to use AI.
• He argues China’s top-down model is not an argument for U.S. centralization.
• He says DARPA-style national-security R&D is better housed at DOE than inside a science agency.
• The U.S. funding model has shifted toward private-sector R&D over time.
• He says government should fund the best scientists wherever they are, including garages.
• He frames scientific and technological leadership as central to economic and national security.
• He portrays China’s industrial strategy as copy, undercut, dump, and squeeze.
• He wants more Americans in STEM and says the U.S.-born computer science PhD mix has inverted.
• He associates some gifted-student program cuts with the broader DEI push.
• The agenda centers the scientist rather than the institution.
• He says COVID-era public health messaging damaged trust in science.
• He says the median NIH intramural researcher is 71.
• Implementation is being pushed through an R&D Priorities Memo and 90-day agency reports.
• He says the program should be politically durable because many recommendations are bipartisan.