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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Reports

Viral Families and Disease X: A Framework for U.S. Pandemic Preparedness Policy

Caroline Schuerger, Steph Batalis, Katherine Quinn, Amesh Adalja, and Anna Puglisi
| April 2023

Pandemic threats are increasing as globalization, urbanization, and encroachment on animal habitats cause infectious outbreaks to become more frequent and severe. It is imperative that the United States build a pipeline of medical countermeasure development, beginning with basic scientific research and culminating in approved therapies. This report assesses preparedness for families of viral pathogens of pandemic potential and offers recommendations for steps the U.S. government can take to prepare for future pandemics.

Data Snapshot

The Dynamic Face of AI Pre-Baccalaureate Credentials

Sara Abdulla
| March 29, 2023

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This five-part series uses data from the U.S. Department of Education and other select sources to complement existing CSET work on the U.S. AI workforce.

CSET Research Analyst Dahlia Peterson testified before the U.S.-China Economic and Security Review Commission at a hearing on "China’s Challenges and Capabilities in Educating and Training the Next Generation Workforce."

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.