Autumn Toney was a Senior Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). Before joining CSET, she worked at the Naval Research Laboratory in computer security, focusing on anomaly detection. She is currently completing her Ph.D. in Computer Science at Georgetown University, where her research focuses on natural language processing. She earned a B.A. in Mathematics with a minor in history from the University of Florida and a Master of Science in Data Science from the George Washington University.
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Data Brief
A Quantitative Assessment of Department of Defense S&T Publication Collaborations
June 2024While the effects of the U.S. Department of Defense’s broad investments in research and development go far beyond what is publicly disclosed, authors affiliated with the DOD do publish papers about their research. This analysis… Read More
Analysis
Trust Issues: Discrepancies in Trustworthy AI Keywords Use in Policy and Research
June 2024Policy and research communities strive to mitigate AI harm while maximizing its benefits. Achieving effective and trustworthy AI necessitates the establishment of a shared language. The analysis of policies across different countries and research literature… Read More
Data Brief
Assessing the Global Research Landscape at the Intersection of Climate and AI
November 2023AI has the potential to revolutionize approaches to climate change research. Using CSET's Map of Science, this data brief maps the production of research publications at the intersection of AI and climate change to better… Read More
Collaborations between researchers and policymakers are necessary for progress, but can be challenging in practice. This blog post reports on recent discussions by privacy experts on the obstacles they face when engaging in the policy… Read More
Artificial intelligence-enabled systems are transforming society and driving an intense focus on what policy and technical communities can do to ensure that those systems are trustworthy and used responsibly. This analysis draws on prior work… Read More
The choice of method for surfacing AI-relevant publications impacts the ultimate research findings. This report provides a quantitative analysis of various methods available to researchers for identifying AI-relevant research within CSET’s merged corpus, and showcases… Read More
When the technology and policy communities use terms associated with trustworthy AI, could they be talking past one another? This paper examines the use of trustworthy AI keywords and the potential for an “Inigo Montoya… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This three-part series presents a method to explore and visualize connections across CSET’s research clusters and enable identification of research… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the tenth and final in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). We encourage… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the ninth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the eighth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the seventh in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the sixth in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the third in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the second in a series of Snapshots exploring CSET’s Private-sector AI-Related Activity Tracker (PARAT). Check in every two… Read More
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… Read More
Data Brief
Research Impact, Research Output, and the Role of International Collaboration
November 2021This data brief explores how international collaboration relates to the impact and output of research publications. Focusing on the top 10 countries with the highest publication output from 2010 to 2019, the authors provide a… Read More
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… Read More
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… Read More
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… Read More
Data Snapshot
Defining Computer Vision, Natural Language Processing, and Robotics Research Clusters
August 2021Data 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… Read More
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… Read More
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… Read More
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… Read More
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… Read More
Data Brief
Comparing the United States’ and China’s Leading Roles in the Landscape of Science
June 2021Using CSET’s new Map of Science to examine clusters of research publications, this data brief presents a comparative analysis of U.S. and Chinese research publication outputs. The authors find that global competition outcomes differ depending… Read More
The global map of research has shifted dramatically over the last 20 years. Annual global investment in research and development has tripled, and the United States’ share of both global R&D funding and total research… Read More
Artificial intelligence is said to be transforming the global economy and society in what some dub the “fourth industrial revolution.” This data brief analyzes media representations of AI and the alignments, or misalignments, with job… Read More
The advantages of nations depend in part on their access to new inventions—and modern applications of artificial intelligence can help accelerate the creation of new inventions in the years ahead. This data brief is a… Read More
China’s surge in artificial intelligence development has been fueled, in large part, by advances in computer vision, the AI subdomain that makes powerful facial recognition technologies possible. This data brief compares U.S. and Chinese computer… Read More
Data Brief
U.S. Demand for AI-Related Talent Part II: Degree Majors and Skills Assessment
September 2020Future U.S. competitiveness in artificial intelligence will require a robust AI workforce. This data brief analyzes market demand for AI-related jobs to determine the skills necessary in the field. It concerns jobs considered both “core… Read More
The U.S. government and industry both see artificial intelligence as a pivotal technology for future growth and competitiveness. What skills will be needed to create, integrate, and deploy AI applications? This data brief analyzes market… Read More