A CSET data snapshot was cited by CNBC in an article that focuses on the increasing prevalence of AI-specific degree programs, driven by the high demand for AI skills in the job market.

CSET submitted the following comment in response to a DHS Notice on Proposed Rule-Making from the U.S. Citizenship and Immigration Services about modernizing H-1B requirements, providing flexibility in the F-1 program, and program improvements affecting other nonimmigrant workers

Discover how the global landscape of STEM graduates is shifting, potentially reshaping the future of innovation and education worldwide. This blog post analyzes recent education data from the countries with the most graduates in Science, Technology, Engineering, and Mathematics (STEM) fields. For each of the top eleven countries by number of STEM graduates, we present the total number of STEM graduates as well as STEM graduates as a percentage of total graduates in 2020.

In an article published by The Wall Street Journal, Emily S. Weinstein shared her expert insights. The article discusses how the strong collaboration between the U.S. and China in scientific research is weakening due to worsening relations between the two countries.

In his op-ed featured in Defense One, Jaret Riddick discusses the need for the Pentagon to leverage existing laws and new metrics to enhance the research capacity of historically Black colleges and universities (HBCUs) in the United States.

In a Nikkei Asia article discussing the need for a global regulatory framework for artificial intelligence, CSET's Helen Toner offered her expert insights.

A CSET report was cited in an article published by the Bulletin of the Atomic Scientists discussing the increasing use of artificial intelligence and the need for better AI literacy in the United States.

A 2020 CSET report was cited in an article published by Axios. The article discusses a letter signed by more than five dozen experts, including former national security officials, urging the House China Select Committee to address immigration obstacles for international science and engineering graduate students and workers.

Progress in artificial intelligence (AI) depends on talented researchers, well-designed algorithms, quality datasets, and powerful hardware. The relative importance of these factors is often debated, with many recent “notable” models requiring massive expenditures of advanced hardware. But how important is computational power for AI progress in general? This data brief explores the results of a survey of more than 400 AI researchers to evaluate the importance and distribution of computational needs.

CSET's Dr. Jaret C. Riddick was quoted in an article published by GovCon Wire on the challenges faced by the US military in adopting new technology and their search for talent.