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Fellows in the STPF Rapid Response AI Cohort pose together for a photo in the Capital subway.

AAAS Launches STPF Rapid Response Cohort in AI to Support Policy Development in Congress

With record speed, a new artificial intelligence fellowship placement was conceived and launched in just two months. The host offices include: U.S. Senate Committee on Banking, Housing, and Urban Affairs; Sen. Bill Cassidy (R-La.); Sen. Martin Heinrich (D-N.M.); Sen. Mark Kelly (D-Ariz.); Sen. Mike Rounds (R-S.D.); and Sen. Ron Wyden (D-Ore.).
Image of yellow-orange sparks in the background. In the front is the AAAS 175th anniversary logo, with the words "Igniting Progress for the Next 175" below it.

Future generations are watching

In a Science editorial marking AAAS' 175th anniversary, AAAS CEO Sudip Parikh asks “Does the world still need an organization incorporating the whole scientific ecosystem?” We suspect you know the answer.
Featured Fellows

New NIH Deputy Director for Program Coordination, Planning, and Strategic Initiatives Tara Schwetz (2012-14 NIH fellow) is charged with strategic planning and resource development to better understand NIH portfolios and to launch cross-NIH research initiatives. “I have gained an immense amount from [STPF]—from the amazing experiences and knowledge I’ve gained to the fabulous fellows I’ve recruited and worked with, to the amazing friends I’ve made.” Image: NIH


Congrats to Lizzie Hunsaker (2020-21 Legislative Branch Fellow, 2021-22 Executive Branch Fellow) who was promoted by Sen. Chris Coons to the position of legislative director! “STPF was pivotal in my transition from academia to policy.” As legislative director, Lizzie oversees the Senator's entire policy portfolio and works with the legislative team to advance the Senator’s priorities.


“My experience as a AAAS STPF at the NSF AI Research Institutes program was instrumental in providing me with policy-relevant experience related to supporting innovation in responsible AI technologies.” Leveraging that experience, Neeti Pokhriyal (2022-24 fellow at NSF) is now at RAND’s Engineering and Applied Sciences Department, where she brings her expertise in developing interpretable machine learning models for societal well-being and policy-relevant experience in understanding the biases, ethics, and transparency of these models.