
Denice Ross
Senior advisor at the Federation of American Scientists and former U.S. chief data scientist, known for expertise in federal data policy and the impacts of data loss on public tools.
Top 3 podcasts with Denice Ross
Ranked by the Snipd community

23 snips
Oct 3, 2025 • 27min
What Happens When We Can’t Rely On Federal Data
Denice Ross, a senior fellow at the Federation of American Scientists and former U.S. Chief Data Scientist, dives into the threats facing federal data under the current administration. She highlights how important datasets are being manipulated or erased, stressing the risks this creates for public policy. Meanwhile, Matt Berg discusses the impact of the government shutdown on federal employees and how political messaging permeates official channels. Together, they emphasize the critical need for reliable data to inform American society.

Nov 25, 2025 • 10min
The federal data and tools that "died" this year
Denice Ross, a senior advisor at the Federation of American Scientists and former U.S. chief data scientist, dives into the recent loss of crucial federal datasets during the Trump administration. She highlights specific datasets gone missing, from climate to health data, and discusses how this hinders access for researchers. Ross explores the challenges of private sector attempts to fill the gaps and shares lessons from past disasters like Hurricane Katrina. Finally, she proposes ideas to safeguard remaining data, emphasizing the need for transparency and integration with everyday applications.

Nov 25, 2025 • 10min
The federal data and tools that "died" this year
Denice Ross, a senior advisor at the Federation of American Scientists and former U.S. chief data scientist, discusses the alarming loss of vital federal datasets during the Trump administration. She reveals how crucial data on climate, health, and demographics disappeared, impacting both research and community decision-making. Ross highlights specific examples such as the removal of EPA's EJ Screen and the cancellation of the HIGH-FILD dataset. She warns that while private entities can assist, they can't fully replace the comprehensive and irreplaceable nature of federal data.


