James Dunham is an NLP Engineer at the Center for Security and Emerging Technology (CSET). He collaborates with subject-matter experts to solve prediction and inference problems, and specializes in natural language processing methods for scientific text. James was previously at the Massachusetts Institute of Technology, where his doctoral work addressed measurement challenges in political science. He has also worked on open civic data at the MIT Election Lab; developed survey methods at MIT’s Political Experiments Research Lab; and been an Adjunct Assistant Professor of Public Service at New York University. James holds a B.A. from the University of Wisconsin, an M.P.A. from New York University, and a Ph.D. from MIT.
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Trends in U.S. Intention-to-Stay Rates of International Ph.D. Graduates Across Nationality and STEM Fields
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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… Read More
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Analysis
Trends in U.S. Intention-to-Stay Rates of International Ph.D. Graduates Across Nationality and STEM Fields
April 2020Policymakers 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… Read More
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… Read More