How Trump’s DEI Ban Will Affect Medical Research
Changes limiting programs, grants, and even the nature of studies are already underway at the NIH, NSF, FDA, CDC, and more.
On President Trump’s first day in office, he signed an executive order to end what he calls “illegal and immoral discrimination programs,” referencing diversity, equity, and inclusion (DEI) in the federal government. The repercussions of this are already being felt across science agencies.
Things are changing fast: Last week, a federal judge in Maryland temporarily blocked parts of the DEI purge from being carried out. At the same time, federal research agencies have already made changes. For example, the National Institutes of Health suddenly pulled a program that provides grants to PhD students from marginalized backgrounds, and has already canceled studies mid-project, like one on LGBTQ cancer patients. The National Science Foundation has begun reviewing active research science projects that may not comply with Trump’s executive orders. The Centers for Disease Control and Prevention took down resources for HIV prevention, LGBTQ+ health, contraception, and more—then partially restored them, as ordered by a judge. And the Food and Drug Administration pulled its guidance on the importance of having some diversity in clinical trials, like those to test drugs and medical devices.
So, what does banning diversity, equity, and inclusion efforts mean for medical research? And what does it mean for our health?
Host Flora Lichtman talks with Dr. Rachel Hardeman, director of the Center for Antiracism Research for Health Equity at the University of Minnesota in Minneapolis; and Dr. Melissa Simon, an ob-gyn at Northwestern Medicine, and director of the Center for Health Equity Transformation in Chicago.
Transcripts for each segment will be available after the show airs on sciencefriday.com.
Subscribe to this podcast. Follow our show on Instagram, TikTok, Facebook, and Bluesky @scifri and sign up for our newsletters. Got a science question that’s keeping you up at night? Call us: 877-472-4374
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.