The Data Science Incubation Program

Summer 2015 Incubator Program: Data Science for Social Good
Previous Incubator Sessions

The eScience Institute is pleased to announce a new summer program: Data Science for Social Good (DSSG). The program is modeled after similar programs at the University of Chicago and Georgia Tech, but with elements taken from the eScience Institute’s Data Science Incubator. Similar to the Incubator program, the goal of the DSSG is to enable new insight by bringing together data scientists and domain scientists to work on focused, collaborative projects. For the summer program, these projects will be designed to impact public policy for social benefit.

This year, the theme for DSSG projects will be Urban Science. Projects will involve analysis, visualization and/or software engineering of data from urban environments such as crime data, government and NGO financials, housing data, cell phone GPS data, etc. Topic areas may include public health, sustainable urban planning, environmental protection, disaster response, crime prevention, education, transportation, governance, commerce, and social justice.

DSSG teams will be composed of:

Our team of data scientists can provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics (e.g., Hadoop, GraphLab, Myria, SciDB), cloud and cluster computing, statistics and machine learning, and visualization to help researchers extract knowledge from large, complex, and noisy datasets.

Any UW faculty, research staff, or non-UW scientist may submit a proposal to be considered for this program. DSSG projects are not "for-hire" software jobs -- each project will be led by representatives of the applicant's team working in collaboration with data scientists and the broader eScience community. An essential component of the application is the identification of a project lead who will agree to commit 2 full days per week to this project, working side-by-side with a data scientist mentor provided by the eScience Institute and the student teams. This work will be conducted in the Data Studio on the UW campus. We find that collaboration in a shared space is important for deeper technical engagement and provides opportunities for "cross-pollination" among multiple concurrent projects.

More information, including instructions on how to submit project proposals, is available on the DSSG Incubator Call for Proposals page.

For project proposal submissions, see:

Important Dates

Example Projects

Our team has a strong track record of building systems that get real use. Below are listed some of our previous collaborations through the Incubator program that may be used as guidelines for scale and feasibility within the 1-quarter timeline.

Other examples from Data Science for Social Good programs elsewhere:

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