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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…
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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…
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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 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…
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New eScience Director Andrew Connolly
We are delighted to announce that Astronomy Professor Andrew Connolly has been selected as the new Director of the eScience Institute. Andy has been involved since the early days of eScience as a member of the original Steering Committee and as a member of the Executive Committee since its inception in 2013. Andy has played…
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Data analytics for demixing and decoding patterns of population neural activity underlying addiction behavior
Project Lead: Charles Zhou, Anesthesiology & Pain Medicine Staff Scientist eScience Liaison: Ariel Rokem In 2017, 1.7 million people in the United States reported addiction to opioid pain relievers (Center for behavioral Health Statistics and Quality, 2017) while 47,000 individuals died from opioid overdose (CDC, 2018). Understanding the mechanisms of substance use disorders and developing…
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Developing a relational database for acoustic detections and locations of baleen whales in the Northeast Pacific Ocean
Project Lead: Rose Hilmo, UW School of Oceanography PhD Candidate eScience Liaison: Joseph Hellerstein The health and recovery of whale populations is a major concern in ocean ecosystems. This project is about using data science to improve the monitoring of whale populations, an ongoing area of research in ocean ecology. Our focus is acoustic monitoring,…
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Automated monitoring and analysis of slow earthquake activity
Project Lead: Ariane Ducellier, UW Department of Earth & Space Sciences PhD Candidate eScience Liaison: Scott Henderson Low-frequency earthquakes (LFEs) are small magnitude earthquakes, with typical magnitude less than 2,and reduced amplitudes at frequencies greater than 10 Hz relative to ordinary small earthquakes. Their occurrence is often associated with tectonic tremor and slow slip events…