Conversations with Authors Series with Jen Bachner

What is predictive policing? How does predictive policing complement traditional policing methods? What are the operational challenges of predictive policing? J...

Dr. Jennifer Bachner is the Program Coordinator and Lecturer in Governmental Studies for the M.A. in Government in the Johns Hopkins University Center for Advanced Governmental Studies. Her current work examines the implications of data and analytics on governance, the use of emerging technologies in online education, and partisanship metrics in Congress. Her dissertation work, which she has presented at national conferences and research universities, analyzes youth political engagement.

In the Johns Hopkins M.A. in Government program, Dr. Bachner teaches courses on public opinion, polling, elections, research methodology, and quantitative analysis, and she was recently honored with the 2012 Excellence in Teaching award. She has previously instructed students in empirical methods at the Harvard Kennedy School and Harvard College, where she was awarded the Derek Bok Certificate of Distinction in Teaching.

Before joining the Johns Hopkins faculty, Dr. Bachner served as the Project Manager for the Harvard Election Data Archive, which is supported by the Sloan Foundation and Institute for Quantitative Social Science. The archive includes data on election results and voting behavior at the district, county, and state levels for all recent elections in the U.S. While at Harvard, she also researched the effect of residential mobility and social networks on political engagement.

She received her doctorate in Government from Harvard University and a B.A. in Government and Politics from the University of Maryland, College Park.

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