2021 ADSA Virtual Meeting Series Kickoff
Title: Data science for social impact in university-based programs
Date: Wednesday, November 10, 2021
Time: 12:30–1:30 PM Pacific
Location: Register to receive the Zoom access link
The 2021 ADSA Virtual Meeting Series will kickoff with this session on data science for social impact in university-based programs. Making a positive social impact with data-intensive technologies requires partnerships across a range of stakeholders who can provide both technical expertise and nuanced understanding of the social issues and contexts in question. In recent years, a number of such partnerships have emerged through university-based initiatives. Data for Good summer programs are one approach that consist of fellowships for data science students to work on focused, collaborative projects with non-profit and government partners. Another approach has been to partner with research organizations working in (mostly) urban communities that have been collecting and evaluating societal data for many years.This session will have short 'roadmap' presentations on these approaches aimed at organizations interested in designing similar programs, followed by a panel session featuring leaders of various programs to draw out commonalities and challenges as well as potentially unique situations for each approach.
Chairs: Doug Hague (University of North Carolina, Charlotte) and Sarah Stone (University of Washington).
Speakers: Dharma Dailey (University of Washington) and Amy Hawn Nelson (University of Pennsylvania).
Panelists: Karthikeyan Umapathy (University of North Florida), David Uminsky (University of Chicago), and Gizem Korkmaz (University of Virginia).