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Quantitative HIV Viral Load Monitoring Via Fluorescent Image Analysis
Project Lead: Coleman Martin, UW Chemical Engineering Data Science Lead: Noah Benson In 2014, the United Nations set a goal to end the HIV/AIDs endemic by 2030, aiming for 90% of people living with HIV know their HIV status, be on retroviral treatment, and be virally suppressed. As of 2019, the most recent data, the United Nations…
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Challenges to Climate Adaptation Among Organic Farmers in the U.S.
Project Lead: Masha Vernik, UW Environmental and Forest Sciences Data Science Lead: Curtis Atkisson As seasons become less predictable and extreme weather events become more intense and frequent, farmers learn to adapt. Adaptation can mean anything from building new infrastructure that’s out of a flood zone to installing improved irrigation lines; it can mean shifting crop plans…
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Updating Open-Source Verbal Autopsy Software to Modern Python Standards
Project Lead: Abraham D. Flaxman, UW Global Health Data Science Lead: Bryna Hazelton, Naomi Alterman The purpose of this project was to modernize SmartVA-Analyze, an existing open-source verbal autopsy (VA) software, by transitioning its codebase from Python 2 to Python 3. Verbal autopsy is a crucial tool for estimating the causes of death in settings where…
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Biodiversity Horizons: Predicting Climate Risks
Partners: Christopher Trisos, Cory Merow, Andreas Schwarz Meyer, and Ben Carlson SSEC Engineers: Cordero Core, Niki Burggraff, Carlos Garcia Jurado Suarez, Ishika Khandelwal, and Anshul Tambay Research Goals and Domain As global temperatures rise, preserving biodiversity is essential for the planet’s health and human well-being. However, current biodiversity risk projections are often limited to a…
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Looking Back on the Summer 2024 Humanities Data Science Summer Institute (HDSSI)
Seed of an Idea Anna Preus, Assistant Professor of English, and Melanie Walsh, Assistant Professor in the Information School, first met in graduate school at Washington University in Saint Louis, when they were participants in the Humanities Digital Workshop. The workshop offered the unique opportunity to explore the intersection of data science and humanities. When…
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Constructing a Drivers-Based Framework for Assessing Water Reuse
Project leads: Carolyn Hayek, Researcher and Teaching Fellow, Columbia University, and Miriam Hacker, Research Program Manager, Water Research Foundation. Data scientist: Curtis Atkisson, eScience Institute, University of Washington. DSSG fellows: Daniel Vogler, Jihyeon Bae, Mbye Sallah, Nora Povejsil. Click here for participant bios. Communities around the United States are thinking of alternative water systems to address local water…
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Investigating Transit Equity Through ORCA Fare Card Analysis
Project leads: Mark Hallenbeck, [Retired] Director of the Washington State Transportation Center (TRAC), University of Washington, and Ryan Avery, Deputy Director of the Washington State Transportation Center (TRAC), University of Washington. Data scientist: Bryna Hazelton, eScience Institute, University of Washington. DSSG fellows: Himanshu Naidu, Ishan Saksena, Rebecca Hayes, Siman Ning. Click here for participant bios. Transit service is a…
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Understanding Unsheltered Homelessness in King County: UW 2023 Seattle Area Homeless Count
Project leads: Zach Almquist, Associate Professor, Department of Sociology, University of Washington. Data scientist: June Yang, eScience Institute, University of Washington. DSSG fellows: Brooke Kaye, Felix Jr. Appiah Kubi, Jessica Robinson, Rebecca Schachtman. Click here for participant bios. The US Department of Housing and Urban Development released the 2023 Annual Homeless Assessment Report (AHAR) on December 15, 2023.…
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Measuring Fairness and Equity in Crowd-Flow Generation Models
Project leads: Afra Mashhadi, Assistant Professor, Computer Software and Systems, University of Washington, Bothell, and Ekin Ugurel, Ph.D. Candidate, College of Engineering, University of Washington. Data scientist: Bernease Herman, eScience Institute, University of Washington. DSSG fellows: Apoorva Sheera, Jiaqi He, Manurag Khullar, Sakshi Charvan. Click here for participant bios. Generative crowd-flow (CF) models are machine learning models that…
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UW DSSG: 2024 Summer Program
The eScience Institute recently spoke with six Student Fellows from the Data Science for Social Good program, now in its 10th year at the University of Washington’s Seattle campus. In-depth project descriptions are available on the UW DSSG projects page. The Seattle summer is in full effect. People are taking advantage of the extended daylight…