Since the mid-2000s, China has consistently graduated more STEM PhDs than the United States, a key indicator of a country’s future competitiveness in STEM fields. This paper explores the data on STEM PhD graduation rates and projects their growth over the next five years, during which the gap between China and the United States is expected to increase significantly.

CSET Senior Fellow Anna Puglisi testified before the Senate Select Committee on Intelligence on "Beijing's Long Arm: Threats to U.S. National Security." She offered recommendations to counter China's S&T collection efforts.

Summer camps are an integral part of many U.S. students’ education, but little is known about camps that focus on artificial intelligence education. This data brief maps out the AI summer camp landscape in the United States and explores the camps’ locations, target age ranges, price, and hosting organization type.

CSET Research Analyst Will Hunt testified before the Strategic Technologies and Advanced Research (STAR) Subcommittee on "Microelectronics: Levers for Promoting Security and Innovation." He offered recommendations to advance the U.S.' semiconductor industry.

China wants to be a “cyber powerhouse” (网络强国). At the heart of this mission is the sprawling 40 km2 campus of the National Cybersecurity Center. Formally called the National Cybersecurity Talent and Innovation Base (国家网络安全人才与创新基地), the NCC is being built in Wuhan. The campus, which China began constructing in 2017 and is still building, includes seven centers for research, talent cultivation, and entrepreneurship; two government-focused laboratories; and a National Cybersecurity School.

This issue brief explores whether artificial intelligence and AI-related certifications serve as potential pathways to enter the U.S. AI workforce. The authors find that according to U.S. AI occupation job postings data over 2010–2020, there is little demand from employers for AI and AI-related certifications. From this perspective, such certifications appear to present more hype than promise.

A lack of good data on the U.S. artificial intelligence workforce limits the potential effectiveness of policies meant to increase and cultivate this cadre of talent. In this issue brief, the authors bridge that information gap with new analysis on the state of the U.S. AI workforce, along with insight into the ongoing concern over AI talent shortages. Their findings suggest some segments of the AI workforce are more likely than others to be experiencing a supply-demand gap.

CSET Research Fellow Zachary Arnold testified before the U.S.-China Economic and Security Review Commission hearing on "U.S. Investment in China's Capital Markets and Military-Industrial Complex." Arnold discussed discuss China’s use of financial capital flows and the state’s prominent role in allocating capital to specific firms and sectors.

CSET Research Analyst Emily Weinstein testified before the U.S.-China Economic and Security Review Commission hearing on "U.S. Investment in China's Capital Markets and Military-Industrial Complex." Weinstein discussed China's military-civil fusion strategy in university investment firms and Chinese talent programs.

CSET Research Fellow Saif M. Khan testified before the Senate Foreign Relations Committee for its hearing, "Advancing Effective U.S. Policy for Strategic Competition with China in the Twenty-First Century." Khan spoke to the importance of U.S. leadership in semiconductor and artificial intelligence technology.