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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Atlanta, GA | Posted: July 20, 2021
School of Electrical and Computer Engineering
Summary Sentence:
ECE Ph.D. student Matthew O’Shaughnessy has received a Science ATL Communication Fellowship, which is sponsored by Emory University and is designed to help close the communication gap between scientists and the public.
Full Summary:
ECE Ph.D. student Matthew O’Shaughnessy has received a Science ATL Communication Fellowship, which is sponsored by Emory University and is designed to help close the communication gap between scientists and the public.
Matthew O’ShaughnessyMatthew O’Shaughnessy has received a Science ATL Communication Fellowship, which is sponsored by Emory University and is designed to help close the communication gap between scientists and the public.
This professional development experience is open to Atlanta-area graduate students and post-docs from any institute of higher education. Topics covered during the fellowship meetings include using narrative techniques in science communication, directing language for different audiences, and developing demonstrations and public programs related to the fellow’s field of study.
O’Shaughnessy is a Ph.D. student in the School of Electrical and Computer Engineering (ECE) at Georgia Tech, where he is co-advised by Professors Christopher J. Rozell and Mark Davenport. O’Shaughnessy is among 12 people named to the 2021 group of Science ATL Communication fellows. Four additional students from Georgia Tech have also been chosen to participate in this program.
O’Shaughnessy’s research develops tools that leverage hidden structure in data to discover causal relationships in computational, physical, and social systems. His work helps scientists separate correlation from causation in time series governed by dynamical systems, understand the operation of black-box machine learning classifiers, and efficiently collect data from systems that evolve over time. Interested in science policy and the societal impacts of emerging technologies, O’Shaughnessy also works on applications involving public opinion about artificial intelligence adoption and governance.
