Are you interested in using data-driven discovery for societal benefit?
Apply for the 2016 eScience Institute Data Science for Social Good summer program!
The University of Washington eScience Institute, in collaboration with Urban@UW and Microsoft, is excited to announce the 2016 Data Science for Social Good (DSSG) summer program. The program brings together data and domain scientists to work on focused, collaborative projects that are designed to impact public policy for social benefit.
Modeled after similar programs at the University of Chicago and Georgia Tech, with elements from our own Data Science Incubator, sixteen DSSG Student Fellows will be selected to work with academic researchers, data scientists, and public stakeholder groups on data-intensive research projects. These are paid positions.
This year’s projects will focus on Urban Science, aiming to understand and extract valuable, actionable information out of data from urban environments across topic areas including public health, sustainable urban planning, crime prevention, education, transportation, and social justice.
Where: Most work will be conducted on the UW campus in the WRF Data Science Studio, but some field excursions in the City of Seattle or King County may also be involved.
When: This is a 10-week long, full-time program beginning June 13th and ending August 19th 2016.
Compensation: Students will be given a stipend of $6,500 for the 10 weeks. Stipend payments will be disbursed through the UW payroll system on the 10th and 25th of each month.
- Strong academic record
- Previous programming experience and/or strong background in social science
- Demonstrated interest in issues related to social good
- Research experience with quantitative or qualitative tools, preferred
How to Apply: Application available here. The application process includes uploading a resume and transcript (unofficial is acceptable). Questions may be directed to firstname.lastname@example.org.
Application Deadline: March 1, 2016 at 5:00 pm PT (notification by April 1st)