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Introducing the Data Science For Social Good 2022 Projects
By: Louisa Gaylord and Emily Keller-O’Donnell On June 13th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with sixteen student fellows working on four project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions. Student fellows joined the program from colleges and universities…
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Data Science for Social Good Teams Present Their Project Results
By: Emily Keller-O’Donnell On August 18th, student fellows at the eScience Institute’s Data Science for Social Good (DSSG) program presented the results of their 10-week summer projects on the topics of fairness in computational redistricting, and the impacts of Seattle’s minimum wage ordinance in relation to residential displacement and commuting patterns. The student fellows conducted…
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Developing Ensemble Methods for Initial Districting Plan Evaluation
Project leads: Daryl DeFord, Assistant Professor of Data Analytics in the Department of Mathematics and Statistics at Washington State University Data scientists: Bernease Herman and Vaughn Iverson DSSG fellows: Rowana Ahmed, Katherine Chang, Ryan Goehrung, Michael Souffrant. Get the participant bios here. Project Summary: Gerrymandering, the drawing of legislative boundaries for improper purposes, is a fundamental threat to…
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Data Science for Social Good Team Builds Tools to Support Fairness in Computational Redistricting
By: Emily Keller-O’Donnell This fall, Congressional leaders will begin the state redistricting process that takes place every ten years to reflect population changes captured by the U.S. Census. As the process gets underway, a team in the University of Washington Data Science for Social Good (DSSG) program is creating a resource guide to help nonpartisan…
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Data Science for Social Good Program Launches for Summer 2021
By: Emily Keller On June 14th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with eight student fellows working on two project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions. Student fellows joined the program from colleges and universities around the country.…
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Algorithmic Equity Toolkit
By: Mike Katell We are extremely proud to introduce the Algorithmic Equity Toolkit, planned and co-designed as a project of the Data Science for Social Good program (DSSG) at the eScience Institute in the summer of 2019. The Algorithmic Equity Toolkit, or ‘AEKit,’ is a set of resources designed to help individuals better identify government…
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Data Science for Social Good teams present their project results
By Emily F. Keller Sept. 18, 2019 On Wednesday, Aug. 21, fellows from four interdisciplinary teams presented the results of their projects at the eScience Institute’s Data Science for Social Good (DSSG) program. The ten-week summer program, which began in 2015, brings together student fellows, stakeholders, and data and domain researchers to work on collaborative…
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Developing an Algorithmic Equity Toolkit with Government, Advocates, and Community Partners
Project lead: Mike Katell, PhD Candidate, UW Information School Data science lead: Bernease Herman Faculty Advisor: Peaks Krafft, Senior Research Fellow, Oxford Internet Institute Community Engagement Lead: Meg Young, PhD Candidate, University of Washington Information School DSSG fellows: Corinne Bintz, Vivian Guetler, Daniella Raz, Aaron Tam Project Summary: In partnership with ACLU of Washington, fellows will create an Algorithmic Equity…
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Team develops ‘Algorithmic Equity Toolkit’ at Data Science for Social Good program
By Emily Keller-O’Donnell August 7, 2019 Community advocates who are concerned about the impacts of surveillance technologies and algorithmic decision systems (ADSs) will have a new set of examination tools soon. A team at the eScience Institute’s Data Science for Social Good (DSSG) program at the University of Washington (UW) is developing a package of…
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eScience Institute co-hosts computational social science conference
By SICSS-Seattle partner location organizers Connor Gilroy and Bernease Herman A satellite location of the Summer Institute for Computational Social Science (SICSS) was held June 18 – 22 at the eScience Institute in the WRF Data Science Studio. The purpose of the Summer Institute is to bring together graduate students, postdoctoral researchers, and beginning faculty interested…