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The Data Science for Social Impact (DSSI) Network is a consortium of diverse higher education partners, including historically Black colleges and universities (HBCUs), minority-serving institutions (MSIs), and Hispanic-serving institutions (HSIs), working to amplify social impact through data science. It is a collaborative effort to broaden participation in the data talent pipeline, serve  communities, and maximize opportunities for scalability and transferability of this new model.

DSSI Summer Experience

The Data Science Social Impact Summer Experience is an immersive 8-week paid summer research program hosted at the University of Chicago Data Science Institute. Learn more here, with more information about the Summer 2025 program coming this winter.


Capacity Accelerator Network

DSSI builds on the work of the Capacity Accelerator Network (CAN), funded by data.org and the Mastercard Center for Inclusive Growth in 2022-2023. CAN partners included Howard University, Harry S Truman College – City Colleges of Chicago, Morehouse College, University of Texas San Antonio, North Carolina State University, Fresno State, University of Illinois Chicago, and University of Chicago. The network co-authored the Data Science for Social Impact in Higher Education Playbook.

Team

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 interests are in machine learning, signal processing, pattern formation, and dynamical systems.  David is an associate editor of the Harvard Data Science Review.  He was selected in 2015 by the National Academy of Sciences as a Kavli Frontiers of Science Fellow. He is also the founding Director of the BS in Data Science at USF and served as Director of the MS in Data Science program from 2014-2019. During the summer of 2018, David served as the Director of Research for the Mathematical Science Research Institute Undergrad Program on the topic of Mathematical Data Science.

Before joining USF he was a combined NSF and UC President’s Fellow at UCLA, where he was awarded the Chancellor’s Award for outstanding postdoctoral research. He holds a Ph.D. in Mathematics from Boston University and a BS in Mathematics from Harvey Mudd College.

Mindi has experience managing, sourcing and scoping a portfolio of data science experiential learning partnerships across social impact organizations, corporate, civic and government entities. Mindi managed earlier iterations of our work with the 11th Hour Project at the University of San Francisco where she served as the Senior Director of Strategy and Operations of the Data Institute. Mindi is a member (inactive) of the California and Illinois bars and received her JD from University of California College of the Law, San Francisco and her BS, Political Science from Santa Clara University.

Susan Paykin is the Associate Director, Community-Centered Data Science at the DSI, where she leads social impact and strategic partnership initiatives across the organization’s three pillars of research, education, and engagement. She is also the Program Lead of the Open Spatial Lab where she leads geospatial data science projects and partner engagement. Susan was previously the Research Manager at the Center for Spatial Data Science at UChicago and has served in leadership roles for environmental and social impact organizations. She holds a Master in Public Policy (M.P.P) with a concentration in policy analysis from the Harris School of Public Policy at University of Chicago and a B.A. from Brandeis University.

Evelyn Campbell is the Program Manger for Community-Centered Data Science at the Data Science Institute. She oversees and implements the DSI’s educational outreach programs, such as Data4All and the Data Science for Social Impact Research Experience. She was previously a Data Science Preceptor where she taught data science curriculum for both the University of Chicago and City Colleges of Chicago. She obtained her PhD in Microbiology from the University of Chicago in 2022 and her BS in Biology from Rider University in 2016. She is an advocate for educational access and expanding representation in data science and other STEM fields.

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