Month: August 2020
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Data Science for Social Good Fellows Present Their Project Results
By: Emily Keller-O’Donnell This year, two interdisciplinary teams at the eScience Institute’s Data Science for Social Good (DSSG) program tackled timely issues, conducting projects to identify disinformation articles about the coronavirus and detect minority vote dilution resulting from geographic boundary setting in state, city, county and school board districts. On August 19th, the DSSG student…
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Detecting of Vote Dilution: New tools and methods for protecting voting rights
Project leads: Matt A. Barreto, Professor of Political Science and Chicana/o Studies, and Faculty Director of the Voting Rights Project at University of California, Los Angeles; and Loren Collingwood, Associate Professor in the Department of Political Science at University of California, Riverside Data scientists: Scott Henderson and Spencer Wood DSSG fellows: Juandalyn Burke, Ari Decter-Frain, Hikari Murayama, Pratik Sachdeva Participant…
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Identifying Coronavirus Disinformation on Websites
Project leads: Maggie Engler, Lead Data Scientist, and Lucas Wright, Senior Researcher, at the Global Disinformation Index (GDI) Data scientists: Noah Benson and Vaughn Iverson DSSG fellows: George Hope Chidziwisano, Richa Gupta, Kseniya Husak, Maya Luetke Participant bios available here. Project Summary: Online disinformation has been used as a tool to weaponize mass influence and disseminate propaganda. To combat disinformation, we need…
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DSSG Project Supports Equity in Voting District Boundaries
By: Emily Keller-O’Donnell As states, counties, cities and school boards across the country prepare to re-draw their voting districts in 2021, a software package that is being updated through the Data Science for Social Good (DSSG) program will help to ensure equal representation among constituents. Voting district boundaries are re-drawn after each Census to account for…