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Data Science for Social Good projects begin
By Emily Keller-O’Donnell The eScience Institute’s Data Science for Social Good (DSSG) program began June 11th with 15 fellows working on three project teams in collaboration with data scientists and project leads. A project with the University of Washington’s Industrial and Systems Engineering Department and Disaster Data Science Lab will focus on improving situational awareness after…
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Meet the 2018 Data Science for Social Good fellows
The eScience Institute is pleased to welcome 15 talented student fellows to our summer 2018 Data Science for Social Good (DSSG) program which kicks off Monday, June 11. The DSSG fellows hail from universities across the United States and represent a diversity of disciplines including public policy, linguistics, sociology, mathematics, and biology…
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Research scientist funding opportunity at eScience
NOTE: We are no longer accepting applications for this opportunity. Thank you for your interest. RESEARCH SCIENTIST FUNDING OPPORTUNITY University of Washington eScience Institute Location: Seattle Campus The eScience Institute empowers researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. As the hub of data-intensive discovery on…
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Extending data science training across the West
In partnership with the West Big Data Innovation Hub, the eScience Institute hosted a hands-on Data Carpentry Instructor Training Mar. 22 – 23 in the WRF Data Science Studio. Participant teams hailed from across the western region representing universities, government, and community organizations in Alaska, Montana, Colorado, Wyoming, Idaho, and California. All have now been certified…
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First UW Data Science Summit a success
By Robin Brooks Over 200 students, faculty, staff, and community members attended the first annual UW Data Science Summit, a two-day conference hosted by the eScience Institute. The cross-disciplinary event, which was held on the Seattle campus, featured keynote speakers Emily Fox of the Paul G. Allen School of Computer Science & Engineering and the…
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Reflections on the 2018 Winter Incubator program
Nineteen project leads, eScience data scientists, and researchers participated in this year’s Winter Incubator program, which focused on projects in hydrology, political science, astronomy, atmospheric science and neuroscience. The five teams met over the course of 10 weeks to develop their projects, and presented their results on Mar. 13, 2018 in the WRF Data Science…
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Masters students finish course on governance analytics
Twenty-two students participated in the UW Evans School of Public Policy and Governance’s course “Computational Thinking for Governance Analytics” held in the winter quarter. The course was created and taught by professor Jose Manuel Magallanes, an expert on computational social science, who is a visiting professor and senior data science fellow whose presence at the UW…
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Hitting the mark: targeting strategy development for SDSS V with a robotic fiber positioning system
Project Lead: Jennifer Sobeck, APOGEE-2 project manager; Michael Blanton, associate professor, Department of Physics, New York University; and Jose Sanchez Gallego, research scientist, Department of Astronomy eScience Liaisons: Jacob VanderPlas In 2020, the fifth generation of the Sloan Digital Sky Survey (SDSS-V) will undertake a 5-year spectroscopic survey of over six million objects, building on…
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Political Twitter images project summary and goals
Project Leads: Nora Webb Williams, PhD Candidate, Department of Political Science; Wesley Zuidema, PhD Student, Department of Political Science; John D. Wilkerson, Professor, Department of Political Science; and Andreu Casas, Moore Sloan Research Fellow, New York University eScience Liaison: Bernease Herman How do outsider political groups use social media to mobilize supporters online? What types of social…
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Incubating a DREAM
Project Leads: Christina Bandaragoda, senior research scientist, Watershed Dynamics Research Group, Civil & Environmental Engineering; Purshottam Shivraj, Data Science Master’s Student; Nicoleta Cristea, research associate, Mountain Hydrology Lab, Civil and Environmental Engineering eScience Liaisons: Amanda Tan and Rob Fatland Sparcity of temporal data in high elevations is a hurdle for every water resources researcher investigating…