We've put together this manual for fellows in the Data Science for Social Good program. Like everything else we create, we are also making it available publicly to anyone interested in doing data science for social good, including potential fellows, mentors, and project partners, as well as those interested in funding or replicating such a program.
Welcome to the Data Science for Social Good (DSSG) Fellowship program! We hope your experience this summer will help you grow your skills as a data scientist and learn how to apply those skills to solve real-world problems with social impact. This manual outlines our goals in running this fellowship program, our hopes for your experience, and our expectations of the participants. We’ve also outlined how the summer is typically structured and what you can expect.
Things To Do Before You Arrive:
- Installing Software You'll Need for the Summer
- Read the Code of Conduct, Culture and Communications
- Learn What to Expect by Reading the Summer Overview
This manual was created collaboratively by the Data Science and Public Policy team, with lots of help from various sources including those listed below. Contributors include Bridgit Donnelly, Matt Gee, Rayid Ghani, Maya Grever, Lauren Haynes, Jen Helsby, Lindsay Knight, Benedict Kuester, Joe Walsh, and Jane Zanzig.
This manual is licensed under the Creative Commons Zero license.
Parts of this manual are based on several other policies, including
- The Recurse Center User's Manual
- AlterConf Code of Conduct
- Django Community Code of Conduct
- SRCCON Code of Conduct
- Citizen Code of Conduct