Name: Data science for social impact in university-based programs
Start: 2021-11-10T12:30:00-0800
End: 2021-11-10T14:00:00-0800

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Data science for social impact in university-based programs

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Slide decks are attached to this session, for call-in attendees. Some slides have been removed because permission to share could not be obtained.
See also: Dharma Dailey's slides - https://doi.org/10.5281/zenodo.5669627

https://escience.washington.edu/data-for-good-workshop/

Creating a University-Based Data for Good Program: A Decision Points Workshop
We invite you and your colleagues to apply to attend a free online workshop on designing a university-based Data for Good program offered remotely over four, 2-hour sessions between January 14 and February 4, 2022. University-hosted Data for Good (D4G) programs provide research, service, and learning opportunities to students through team-based projects run outside of normal course offerings (typically during the summer). Popular with students, D4G programs provide the opportunity to work directly with data science mentors and subject matter experts from non-profits, government agencies, community organizations, and academia. Those interested in starting a program are invited to apply to attend the workshop. Discussions will draw on the collective experience of organizers running successful D4G programs in the US, Canada, and UK— experience shared recently in the white paper The Data for Good Growth Map. Applications close December 10th. Learn more here.

Abstract:
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)
Amy Hawn Nelson (University of Pennsylvania)

Panelists:
Cass Dorius (Iowa State University)
Gizem Korkmaz (University of Virginia)
Rebecca Shearer (University of Miami)
Karthikeyan Umapathy (U of North Florida)
David Uminsky (University of Chicago)

Moderators

Doug Hague

Executive Director, School of Data Science, UNC Charlotte

As founding Executive Director, Dr. Doug Hague established the vision for the School of Data Science, as well as manages its resources, programs, and serves as the representative to the UNC Charlotte community and external industry partners.Dr. Hague has more than 20 years of experience... Read More →

Amy Hawn Nelson

University of Pennsylvania

Sarah Stone

Executive Director, eScience Institute, University of Washington

Data Science for Social GoodData Science EducationPrograms for supporting researchers in using data science tools and techniques

Speakers

Cass Dorius

IDS Taskforce, Iowa State University

Dr. Cassandra Dorius is an Associate Professor of Human Development and Family Studies at Iowa State University. Her research focuses on translating scholarship into practice through a broad range of state and national collaborations centered on data quality, community outreach, and... Read More →

Karthik Umapathy

Associate Professor, University of North Florida

David Uminsky

University of Chicago

David Uminsky joined the University of Chicago in September 2020 as a senior research associate and Executive Director of Data Science. He was previously an associate professor of Mathematics and Executive Director of the Data Institute at University of San Francisco (USF). His research... Read More →

Dharma Dailey

Research Associate, University of Washington

Data for Good + Data for Good in Education

Gizem Korkmaz

Research Associate Professor, Co-Director of Data Science for the Public Good Young Scholars Program, University of Virginia

Gizem Korkmaz is an Associate Professor at the Social and Decision Analytics Division (SDAD) of the Biocomplexity Institute and Initiative at the University of Virginia. She is also an Adjunct Assistant Professor in the Department of Agricultural and Applied Economics at Virginia... Read More →