Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series introduces CSET’s patent clusters, which connect related patents through citations and text similarity.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series introduces CSET’s patent clusters, which connect related patents through citations and text similarity.

In this two-part analysis, we use data from the Emerging Technology Observatory's AGORA to explore AI-related legislation that was enacted by Congress between January 2020 and March 2025. This first blog explores the origin and application domains of the AI-related legislation we reviewed. The second blog examines the governance strategies, risk-related concepts, and harms covered by this legislation.

This report examines how U.S. leadership in remote sensing, launch, and advanced space technologies has shaped the global space economy and what it will take to sustain that edge. Drawing on CSET’s prior research, the paper explores the role of public investment and technology, the risks of market consolidation, and policy steps to foster innovation, resilience, and national security in an increasingly contested and commercialized space domain.

This report examines how 17 leading U.S. technology companies are economically and operationally entangled with Taiwan. By mapping investments, R&D efforts, data centers, and supply chains, it sheds light on how these ties could influence corporate behavior in a future conflict with China, and what risks and incentives may shape tech companies’ decisions in a Taiwan contingency.

Read our translation of South Korea's AI law, which incentivizes foreign AI talent to move to South Korea and includes many provisions related to AI safety and ethics.

This roundtable report explores how practitioners, researchers, educators, and government officials view work-based learning as a tool for strengthening the cybersecurity workforce. Participants engaged in an enriching discussion that ultimately provided insight and context into what makes work-based learning unique, effective, and valuable for the cyber workforce.

Read our translation of a Chinese city government list of AI use cases that includes proposals to use AI to strengthen China's surveillance state.

System-to-model innovation is an emerging innovation pathway in artificial intelligence that has driven progress in several prominent areas over the last decade. System-level innovations advance with the diffusion of AI and expand the base of contributors to leading-edge progress in the field. Countries that can identify and harness system-level innovations faster and more comprehensively will gain crucial economic and military advantages over competitors. This paper analyzes the benefits of system-to-model innovation and suggests a three-part framework to navigate the policy implications: protect, diffuse, and anticipate.