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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CSET submitted this comment to the Department of Commerce to inform incentives, infrastructure, and research and development needed to support a strong domestic semiconductor industry.

Data Snapshot

Exploring Supercomputing with the Map of Science

Autumn Toney
| December 15, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Snapshot

Exploring protein-folding AI research with the Map of Science

Sara Abdulla
| December 1, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Snapshot

Exploring bioinformatics through the Map of Science

Sara Abdulla
| November 17, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Snapshot

Terrorism, AI, and Social Media Research Clusters

Sara Abdulla
| November 3, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Snapshot

AI-Supported COVID-19 Research

Autumn Toney
| October 20, 2021

Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. Our first series of Snapshots introduced CSET’s Map of Science and explored the underlying data and analytic utility of this new tool, which enables users to interact with the Map directly.

Data Visualization

AI Education Catalog

Claire Perkins, Diana Gehlhaus, Kayla Goode, Jennifer Melot, Ehrik Aldana, Grace Doerfler, and Gayani Gamage
| October 2021

Created through a joint partnership between CSET and the AI Education Project, the AI Education Catalog aims to raise awareness of the AI-related programs available to students and educators, as well as to help inform AI education and workforce policy.

Data Visualization

CSET Map of Science

Jennifer Melot, Ilya Rahkovsky, Brian Love, Neha Singh, Katherine Quinn, Zachary Arnold, and Dewey Murdick
| December 2023

The Emerging Technology Observatory’s Map of Science collects and organizes the world’s research literature, revealing key trends, hotspots, and concepts in global science and technology.

Data Snapshot

Map of Science Updates and User Interface Launch: What’s New?

Autumn Toney
| October 6, 2021

CSET is excited to present the Map of Science user interface. Using a merged corpus of more than 260 million scientific documents, CSET clustered research based on citation links and mapped the clusters spatially using those linkages. The resulting Map provides a visual representation of the landscape of science, with detailed information on more than 123,000 clusters of research including 130 million scientific papers.

Formal Response

Recommendations for the National AI Research Resource Task Force

Dakota Cary
| September 27, 2021

CSET submitted this comment to the Office of Science and Technology Policy and the National Science Foundation to support the work of the National Artificial Intelligence Research Resource (NAIRR) Task Force to develop an implementation roadmap that would provide AI researchers and students across scientific disciplines access to computational resources, high-quality data, educational tools, and user support.