Session: Technology and Social Behavior
Shawndra Hill is a Senior Researcher in the Computational Social Science Group at Microsoft Research NYC. Prior to joining Microsoft, she was on the faculty of the Operations and Information Management Department at the Wharton School of the University of Pennsylvania, where she was an Annenberg Public Policy Center Distinguished Research Fellow, a Wharton Customer Analytics Initiative Senior Fellow, and a core member of the Penn Social Media and Health Innovation Lab and the Warren Center for Network and Data Sciences. Generally, she studies data mining, machine learning and statistical relational learning and their alignment with business problems. Specifically, she researches the value to companies of mining data on how consumers interact with each other on online platforms — for targeted marketing, advertising, health and fraud detection purposes.
Her current research focuses on the interactions between TV content and online behaviors (www.thesocialtvlab.com). Her past and present industry partners include AT&T Labs Research, ClearForest, and Siemens Energy & Automation. Her research has been funded by the Office of Naval Research, Google, and the National Institutes of Health (NIH). Dr. Hill holds a B.S. in Mathematics from Spelman College, a B.E.E. from the Georgia Institute of Technology and a Ph.D. in Information Systems from NYU’s Stern School of Business.