Data Science for Social Good 2016

Data Science for Social Good 2016

This summer we are thrilled to be supporting the eScience Institute’s Data Science for Social Good (DSSG) program.

Modeled after similar programs at the University of Chicago and Georgia Tech, with elements from eScience’s own Data Science Incubator, sixteen DSSG Student Fellows have been working with academic researchers, data scientists, and public stakeholder groups on data-intensive research projects. This year’s projects specifically 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, education, transportation, and social justice.

Topics being addressed this summer include a community based approach to improving accessible pedestrian way-finding, mining online data for early identification of unsafe food products, enhanced transit system operations and planning, and tool development for effective poverty estimation. For more information on the work being done this summer check out the DSSG project descriptions.

Now entering their 5th week, students with backgrounds ranging from applied math and data visualization to international relations and landscape architecture, are not only learning new approaches to data challenges, but interdisciplinary collaboration. Student fellows have been exploring new data science tools, as well as a broad range of ethical considerations with support from the Human Centered Data Science Lab. Read more about the fellows, and their reflections on the program as it moves forward on the DSSG blog.