Christian Schoeberl is a Data Research Analyst at Georgetown’s Center for Security and Emerging Technology (CSET). Prior to joining CSET, Christian focused on the intersection of data science and public sector problems at the local level. Christian holds a Master’s in Data Science and Public Policy from Carnegie Mellon University, as well as degrees in Economics, International Affairs, and Computing from the University of Georgia.
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This data brief analyzes over 200,000 U.S. government grants awarded to industry and academic recipients for artificial intelligence research between January 2017 and May 2023. The authors find that while the majority of federal grants… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the second installment of a two-part series of data snapshots that explores export control data from the Bureau… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This is the first installment of a two-part series of data snapshots that explores export control data from the Bureau… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This short series explores how government procurement data can shed light on federal technological interest and utilization. It analyzes contract… 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
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This short series explores how government procurement data can shed light on federal technological interest and utilization. It analyzes contract… Read More
Process frameworks provide a blueprint for organizations implementing responsible artificial intelligence (AI), but the sheer number of frameworks, along with their loosely specified audiences, can make it difficult for organizations to select ones that meet… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked… Read More
Data Snapshot
Global GitHub: Mapping the Utilization of Open Source Software by Organizations
November 2022Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked… Read More
Data Snapshot
Popularity != Public Implementation: How Organizations Leverage Open Source Code
October 2022Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked… Read More
Data Snapshots are informative descriptions and quick analyses that dig into CSET’s unique data resources. This new series of Snapshots explores CSET’s GitHub repository dataset, a curated collection of repositories that are AI-related and linked… Read More