Publications

CSET produces evidence-driven analysis in a variety of forms, from informative graphics and translations to expert testimony and published reports. Our key areas of inquiry are the foundations of artificial intelligence — such as talent, data and computational power — as well as how AI can be used in cybersecurity and other national security settings. We also do research on the policy tools that can be used to shape AI’s development and use, and on biotechnology.

Report

CSET’s 2024 Annual Report

Center for Security and Emerging Technology
| March 2025

In 2024, CSET continued to deliver impactful, data-driven analysis at the intersection of emerging technology and security policy. Explore our annual report to discover key research highlights, expert testimony, and new analytical tools — all aimed at shaping informed, strategic decisions around AI and emerging tech.

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Formal Response

Comment to the National Biotechnology and Biomanufacturing Initiative

Caroline Schuerger, Steph Batalis, and Vikram Venkatram
| January 20, 2023

CSET's Dr. Caroline Schuerger, Dr. Steph Batalis, and Vikram Venkatram submitted this comment with recommendations for the National Biotechnology and Biomanufacturing Initiative.

Reports

China’s AI Workforce

Diana Gehlhaus, Joanne Boisson, Sara Abdulla, Jacob Feldgoise, Luke Koslosky, and Dahlia Peterson
| November 2022

U.S. policies on artificial intelligence education and the AI workforce must grow, cultivate, attract, and retain the world’s best and brightest. Given China’s role as a producer of AI talent, understanding its AI workforce could provide important insight. This report provides an analysis of the AI workforce demand in China using a novel dataset of 6.8 million job postings. It then outlines potential implications along with future reports in this series.

Data Brief

Mapping Biosafety Level-3 Laboratories by Publications

Caroline Schuerger, Sara Abdulla, and Anna Puglisi
| August 2022

Biosafety Level-3 laboratories (BSL-3) are an essential part of research infrastructure and are used to develop vaccines and therapies. The research conducted in them provides insights into host-pathogen interactions that may help prevent future pandemics. However, these facilities also potentially pose a risk to society through lab accidents or misuse. Despite their importance, there is no comprehensive list of BSL-3 facilities, or the institutions in which they are housed. By systematically assessing PubMed articles published in English from 2006-2021, this paper maps institutions that host BSL-3 labs by their locations, augmenting current knowledge of where high-containment research is conducted globally.

Reports

AI Faculty Shortages

Remco Zwetsloot and Jack Corrigan
| July 2022

Universities are the engines that power the AI talent pipeline, but mounting evidence suggests that U.S. computer science departments do not have enough faculty to meet growing student interest. This paper explores the potential mismatch between supply and demand in AI education, discusses possible causes and consequences, and offers recommendations for increasing teaching capacity at U.S. universities.

Data Brief

China’s Industrial Clusters

Anna Puglisi and Daniel Chou
| June 2022

China is banking on applying AI to biotechnology research in order to transform itself into a “biotech superpower.” In pursuit of that goal, it has emphasized bringing together different aspects of the development cycle to foster multidisciplinary research. This data brief examines the emerging trend of co-location of AI and biotechnology researchers and explores the potential impact it will have on this growing field.

Reports

Training Tomorrow’s AI Workforce

Diana Gehlhaus and Luke Koslosky
| April 2022

Community and technical colleges offer enormous potential to grow, sustain, and diversify the U.S. artificial intelligence (AI) talent pipeline. However, these institutions are not being leveraged effectively. This report evaluates current AI-related programs and the associated number of graduates. The authors find that few AI and AI-related degrees and certificates are being awarded today. They propose five recommendations to address existing challenges and harness the potential of these institutions to train tomorrow’s AI workforce.

Reports

The Long-Term Stay Rates of International STEM PhD Graduates

Jack Corrigan, James Dunham, and Remco Zwetsloot
| April 2022

This issue brief uses data from the National Science Foundation’s Survey of Doctorate Recipients to explore how many of the international students who earn STEM PhDs from U.S. universities stay in the country after graduation. The authors trace the journeys that these graduates take through the immigration system and find that most remain in the United States long after earning their degrees.

Data Snapshot

Examining Patent Data in PARAT  

Sara Abdulla
| March 30, 2022

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the fourth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two weeks to see our newest Snapshot, and explore PARAT, which collects data related to companies’ AI research and development to inform analysis of the global AI sector.

CSET Research Fellow Caroline Schuerger testified before the Bipartisan Commission on Biodefense hearing on "The Biological Threat Expanse" Current and Future Challenges to National Biodefense." She discussed threats to the bioeconomy and steps the U.S. and its allies can take to harness biotechnology's capabilities and raise awareness of risky research.

Data Brief

Chinese and U.S. University Rankings

Jack Corrigan and Simon Rodriguez
| January 2022

The strength of a country’s talent pipeline depends in no small part on the quality of its universities. This data brief explores how Chinese and U.S. universities perform in two different global university rankings, why their standings have changed over time, and what those trends mean for graduates.