The Data Science for Social Good Conference is a University of Chicago conference to highlight the successes, opportunities, and challenges faced by the growing Data Science for Social Good community. Organized by the Center for Data Science and Public Policy @ UChicago, DSSG conference is bringing key members from Governments, Non-Profits, Academia, and the Private Sector together to share best practices, learn from each other, and generate new collaboration opportunities.
The 2017 conference is bringing over 300 people from the data science, academic, government, non profit, and corporate communities from across the world to Chicago. Over two days, you’ll listen to talks on case studies and challenges, attend and participate in panel discussion and facilitated discussion groups, learn from hands-on training workshops, and make new friends from different backgrounds all passionate about the use of data for social good.
Sessions
- Lightning Talks from Data Science for Social Good Fellowship programs from Portugal, Seattle, Atlanta, Taiwan, and IBM
- Talks describing social impact problems where data science can help
- Case Studies from public health, criminal justice, education, social welfare
- Data sharing approaches across government agencies
- Data Science education models from universities, bootcamps, and hands-on training programs