Data Science

James Dunham

Data Scientist
Natural language processing
PhDs
Semiconductors
Statistical methods
Talent
Workforce
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James Dunham┬áis a Data Scientist at the Center for Security and Emerging Technology (CSET). He specializes in extracting information from scientific text using natural language processing and analysis of workforce data. He was previously at the Massachusetts Institute of Technology, where his doctoral research addressed measurement problems in political science. He has also worked on open civic data at the MIT Election Lab and developed survey methods at MIT’s Political Experiments Research Lab. James holds a B.A. from the University of Wisconsin, an MPA from New York University, and a Ph.D. in political science from MIT.

The United States faces increased international competition for top talent in artificial intelligence, a critical component of the American AI advantage. CSET surveyed recent AI PhDs from U.S. universities, offering insights into the academic and career preferences of the AI workforce.

The task of artificial intelligence policymaking is complex and challenging, made all the more difficult by such a rapidly evolving technology. In order to address the security and economic implications of AI, policymakers must be able to viably define, categorize and assess AI research and technology. In this issue brief, CSET puts forward a functional definition of AI, based on three core principles, that significantly outperforms methods developed over the last decade.

Policymakers continue to debate the ability of the United States to attract and retain top international talent. This Issue Brief assesses how many international Ph.D. graduates across various STEM fields and nationalities intend to stay in the United States after completing their degrees.

Talent is core to U.S. competitiveness in artificial intelligence, and international graduate students are a large source of AI talent for the United States. Retaining them in this country as they transition into the workforce is key. Graduate student retention has historically been a core U.S. strength, but that strength is endangered by recent events.