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Applying Data Science for Social Good Open House

November 6, 2015 @ 4:00 pm - 6:00 pm

Applying Data Science!

Join us for a monthly discussion series organized by The Center for Data Science & Public Policy, bringing together faculty, researchers, and students from across the university interested in applying new and emerging data science methods and tools to problems they’re tackling. The goal is to start discussions around applied data science and create collaborations.

Who’s invited: Anyone interested in learning or sharing how data science can help make an impact in their disciplines and research areas.

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Applying Data Science For Social Good 

The first session in this series will highlight projects from the recent Data Science for Social Good Summer program, including those with the World Bank, EPA, Charlotte-Mecklenburg Police Department, Illinois Department of Human Services, City of Cincinnati, and the Sunlight Foundation.

Following this discussion, we will host an Open House. Meet our team, learn about the projects we’re working on, and discuss collaboration opportunities. Snacks and drinks will be served.

4-4:30: Data Science for Social Good project highlights
4:30-5: Introductions and updates from the audience/participants
5-6: Open House (snacks and drinks provided)

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Who Are We?

The Center for Data Science and Public Policy at the University of Chicago is a joint initiative of The Harris School of Public Policy and the Computation Institute that seeks to further the use of data science in policy research and practice. The center consists of data scientists with interdisciplinary backgrounds (computer science, statistics, math, physics, economics, social sciences), policy researchers, and practitioners who work together with external partners to solve problems with social impact.

November 4, 4-6:00pm
Searle Chemistry Laboratory, Rm 240 (5735 S Ellis Ave)

If you’re interested in presenting your work in future sessions, please emaildsapp@uchicago.edu.

Details

Date:
November 6, 2015
Time:
4:00 pm - 6:00 pm
Event Tags:
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