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Humans changed global environment earlier than previously thought
August 29, 2019 Ben Marwick, senior data science fellow, is the co-author on new research published in Science using crowdsourced archaeology research. The paper, titled “Archaeological assessment reveals Earth’s early transformation through land use” illustrates that the global impacts on Earth by humans in prehistory go back earlier than previous estimates. The research, “pushes back…
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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…
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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…
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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…
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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…
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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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ADUniverse: Evaluating the Feasibility of (Affordable) Accessory Dwelling Units in Seattle
Project leads: Rick Mohler, Associate Professor, Department of Architecture, University of Washington; and Nick Welch, Senior Planner, City of Seattle Office of Planning and Community Development Data science lead: Joseph Hellerstein DSSG fellows: Emily A. Finchum-Mason, Yuanhao Niu, Adrian Mikelangelo Tullock, Anagha Uppal Project Summary: Seattle has the nation’s seventh most expensive housing market and third-largest homeless population despite…
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Data Science for Social Good team analyzes peer support data to understand ‘helpfulness’
By Emily Keller-O’Donnell August 14, 2019 Young adults who face mental health struggles often turn to social media for peer support, leaving a large data trail in a field that has been traditionally documented through qualitative work. A team at the eScience Institute’s Data Science for Social Good (DSSG) program at the University of Washington…
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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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Bernease Herman receives Mozilla Research Grant
August 6, 2019 Bernease Herman, eScience data scientist, has been awarded a $25,000 Mozilla Research Grant (2019H1) for her project titled “Toward generalizable methods for measuring bias in crowdsourced speech datasets and validation processes.” The project aims to measure dataset bias in the Mozilla Common Voice crowdsourced speech collection process and dataset. Given the goals…