Tag: Data Science for Social Good

• 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…

• Data Science for Social Good launches projects on polarized voting and online disinformation

  

  By: Emily Keller-O’Donnell On June 15th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with eight fellows working on two project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions and nonprofit organizations. Student fellows joined the program from colleges and universities around…

• 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…

• Data Science for Social Good team analyzes equity of congestion pricing on Interstate 405

  

  By Emily Keller-O’Donnell August 19, 2019 A team in the eScience Institute’s Data Science for Social Good (DSSG) program has partnered with the Washington State Department of Transportation (WSDOT) to study the usage patterns, price sensitivities and equity impacts of congestion pricing on Interstate 405. The project utilizes data on the more than 16 million trips…

• Team develops prototype tool on accessory dwelling units for homeowners

  

  By Emily Keller-O’Donnell August 16, 2019 The City of Seattle is collaborating with an interdisciplinary team in the eScience Institute’s Data Science for Social Good (DSSG) program on a project to encourage the development of affordable accessory dwelling units (ADUs). The team is prototyping an informational tool for homeowners and researchers as part of broader…

• Natural Language Processing for Peer Support in Online Mental Health Communities

  

  Project leads: Tim Althoff, Assistant Professor, Computer Science & Engineering, University of Washington; and Dave Atkins, Research Professor, Psychiatry and Behavioral Sciences, University of Washington Data science lead: Valentina Staneva DSSG fellows: Shweta Chopra, David Nathan Lang, Kelly McMeekin Project Summary: Everyone encounters challenges in life – whether that includes stress from school or work or more significant problems…

• Understanding Congestion Pricing, Travel Behavior, and Price Sensitivity

  

  Project lead: Mark Hallenbeck, Director, Washington State Transportation Center, University of Washington Data science lead: Vaughn Iverson DSSG fellows: Shirley Leung, Cory McCartan, Christopher (CJ) Robinson, Kiana Roshan Zamir Project Summary: Traffic congestion is a worldwide issue with environmental, health, and economic impacts.  We cannot build our way out of it. Funding is limited and land for building new roads…

• 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…