For Government Agencies, Non-Profits, and other Organizations:
Our trainings for governments and non profits are designed for:
- Directors and Executives who want to understand what data science can do for governments and non-profits, how to build effective teams, what to watch out for when working with vendors and consultants, and how to get started with a data-driven policy and social impact project.
- Analysts and Policymakers who are interested in getting hands-on experience with applying data science concepts to problems they face in their organizations.
Executive Training Program in Applied Data Analytics for Public Policy
DSaPP has joined with New York University and the University of Maryland to teach professionals key computer science and data science skills for public policy. The program includes classes on applied problems, such as “Working with Data on Welfare Recipients” and “Working with Data on Veterans.” Find more information at the Executive Program in Applied Data Analytics website.
The Data Science for Social Good Fellowship (DSSG)
The DSSG Fellowship is a University of Chicago summer program to train aspiring data scientists to work on data mining, machine learning, big data, and data science projects with social impact. Working closely with governments and nonprofits, fellows take on real-world problems in education, health, energy, public safety, transportation, economic development, international development, and more. For three months in Chicago they learn, hone, and apply their data science, analytical, and coding skills, collaborate in a fast-paced atmosphere, and learn from mentors coming from industry and academia. Throughout the summer, we hold classes and provide materials on programming, computer science, math and statistics, machine learning, social science, project scoping and management, privacy, ethics, security, communications, social issues, and more.
The 2016 program brought 42 aspiring data scientists from across the world. This group of highly qualified learners completed 12 projects in the course of 13 weeks. The 4-year history of the program has trained 168 fellows and completed 50 projects in partnership with governments, non-profits, and social enterprises. More information about the exciting work of our DSSG Fellows can be found here.
Data Science for Social Good Fellowship Training Materials
Each summer we host a new cohort of Data Science for Social Good Fellows. Throughout the program, we hold classes and provide materials on programming, computer science, math and statistics, machine learning, social science, project scoping and management, privacy, ethics, security, communications, social issues, and more. We make many of our training materials available on GitHub.
Data Science for Social Good Conference
In 2016 we launched the Data Science for Social Good conference, a two-day event bringing together current DSSG fellows, DSSG alumni, project partners both past and present, and people and content from other DSSG programs. This conference highlighted the successes, opportunities, and challenges faced by the growing Data Science for Social Good community by bringing key members from each community (academia, governments, non-profits, foundations, social enterprises, and corporations) together to share best practices, learn from each other, and generate new collaboration opportunities.
Courses @ UChicago
If you are a student at the University of Chicago and are interested in formal training in data analytics, our director and postdocs currently teach three courses. Please check the University time schedules for the most up-to-date information.
Civic Hackathon (aka Scope-a-thon)
DSaPP is committed to partnering with individuals, communities, and researchers in order to find solutions to social and civic challenges. Most recently, we co-sponsored the Civic Hackathon at the Chicago Innovation Exchange which was focused on scoping data-driven social impact projects with governments and non-profits.
If you’re interested in joining team-based learning events like this in the future, please be sure to check back here and our News feed regularly.