Data For Good Exchange Awards Program

In preparation for Bloomberg LP’s first annual Data for Good Exchange (D4GX) conference, the company sought to secure a variety of paper submissions from universities across America. D4GX explores how innovation in data science can re-shape education, environmental planning, public health and government policies.

The NYC Media Lab aided Bloomberg in this effort, helping to form relationships between Bloomberg's executives and data-driven university programs.  Starting as an initial conversation between the Lab and Gideon Mann, Bloomberg’s Head of Data Science, the project evolved to become a national call for papers that spanned topics such as journalism, civic technology, information architecture, and statistics.

Prizes were awarded to authors of accepted D4GX research papers. Additionally, Impact Grants were formed for faculty members investigating science practices that can benefit a nonprofit organization; these grants funded a global exchange program which took place in 2016.

Impact Grant Winners:

Noel Hidalgo, Lecturer, Pratt Institute
Matthew Hale, Associate Professor of Political Science and Public Affairs, Seton Hall University

Prize Winners:

David Klein, Conservation Metrics
Constantine Kontokosta, NYU Center for Urban Science and Progress
Christopher Tull, NYU Center for Urban Science and Progress
Joe Walsh, The University of Chicago Center for Data Science and Public Policy
Ben Wellington, Pratt Institute

NYC Media Lab planned and implemented a communications and outreach program to share details about Impact Grants and Prizes to relevant data science departments and social good centers. Campus visits added a personal touch: for instance, at a site visit to the Zahn Innovation Center at CUNY’s City College, Amy Chen, Seed Project Manager at NYC Media Lab, held an information session about the program to a group engineering and computer science students who were working on social innovation projects.

The interdisciplinary nature of the conference attracted many university faculty members, researchers and students to apply. The conference drew over 500 data-driven researchers and practitioners to its audience.