Tag: Data Science for Social Good
-
Geography, Equity, and the Seattle $15 Minimum Wage Ordinance
Project leads: Jennie Romich, Professor of Social Welfare at the UW School of Social Work and Faculty Director of the West Coast Poverty Center Data scientists: Jose Hernandez and Valentina Staneva DSSG fellows: Lamar Foster, Delaney Glass, Christopher Salazar, Mahader Tamene Participant bios available here. Project Summary: This project examines the minimum wage as a solution to income inequality – and one potential…
-
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…
-
Data Science for Social Good: Exploring Geographic Factors of Seattle’s Minimum Wage Law
By: Emily Keller-O’Donnell When the Seattle minimum wage law took effect in 2015, it dovetailed with an increase in housing prices as an influx of high-wage technology workers moved to the region. For an interdisciplinary team in the University of Washington Data Science for Social Good (DSSG) program, this raises the question of whether some…
-
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.…
-
Migrating the DSSG Summer Program to a Remote Setting
By: Emily Keller-O’Donnell After five years of running the Data Science for Social Good (DSSG) summer program in the eScience Institute’s open studio space – where project leads spend at least two days per week with full-time student fellows and in-house data scientists for ten weeks – the program has now completed its first successful…
-
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…
-
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…
-
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…
-
DSSG Team’s Model Will ID Online Coronavirus Disinformation
By: Emily Keller-O’Donnell While informative news articles about COVID-19 play a key role in fighting the pandemic, a range of erroneous blogs and articles with fake virus cures, political propaganda and conspiracy theories are also circulating online. A new open source tool being developed as a project in the eScience Institute’s Data Science for Social…
-
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…