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Data Science for Social Good projects begin
By Emily Keller-O’Donnell July 9, 2019 On June 17th, the Data Science for Social Good (DSSG) summer program began with 15 fellows working on four project teams in collaboration with data science leads from the eScience Institute and project leads from academia and government. Student fellows, including five international students, joined the program from colleges and universities…
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Partnerships for impact: NSF awards an additional $4M to the West Big Data Innovation Hub co-led by the UW eScience Institute
June 19, 2019 The National Science Foundation (NSF) is awarding a second round of funding for the Regional Big Data Innovation Hubs – organizations launched in 2015 to build and strengthen data science partnerships across industry, academia, nonprofits, and government to address scientific and societal challenges. Each of the hubs will receive $4 million over…
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UW hosts the first annual Northwest Data Science Summit
May 28, 2019 The first annual Northwest Data Science Summit was held on the University of Washington (UW) campus May 7 – 8, 2019, jointly sponsored by the UW eScience Institute and the Data Science Institute at the University of British Columbia (UBC). This unique event brought together over 200 students, faculty, staff, and community…
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The rise and fall of network stars
May 23, 2019 Michael Fire, previous eScience postdoctoral fellow, and Carlos Guestrin, senior data science fellow, have published a paper titled “The rise and fall of network stars: analyzing 2.5 million graphs to reveal how high-degree vertices emerge over time” in the Journal of Information Processing and Management. Fire and Guestrin constructed the largest publicly…
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Evictions project impacts new state legislation
By Tim Thomas, Moore/Sloane Postdoctoral Fellow May 16, 2019 On May 9th, Governor Jay Inslee signed Senate Bill 5600 into law which extends the evictions pay-or-vacate notice in Washington from three days to 14 days. The Washington Evictions Research Project (WAEV) provided groundbreaking empirical evidence for stakeholders and policymakers to use to get this legislation…
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Submit your application to work with us as a data scientist
May 16, 2019 The eScience Institute at the University of Washington is seeking outstanding candidates for the position of Data Scientist. The ideal candidate will have expertise in one or more areas related to data science (machine learning, statistics, databases, large-scale data systems, visualization, and interfaces that facilitate large-scale data understanding), demonstrated experience in software engineering and…
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Participants reflect on first Waterhackweek
April 30, 2019 The eScience Institute and the UW Freshwater Initiative co-hosted the first Waterhackweek, a five-day collaborative event for freshwater-related data science Mar. 25 – 29, 2019. We asked participants to give us their insight on the event, and three of them responded. Here are their thoughts. ———— Zahra Sharifnezhadazizi, PhD candidate, Department of…
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Reflections on the 2019 Winter Incubator program
April 24, 2019 With the results of our 2019 Winter Incubator program in, we offered participants the opportunity to weigh in on their experiences in this data science- intensive 10-week program. Two of them responded; here are their thoughts. ———— Stuart Ian Graham, UW Biology Department I had the invaluable experience of working with Dr.…
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eScience Institute, Freshwater Initiative host first Waterhackweek
April 22, 2019 The first Waterhackweek, a five-day collaborative event for freshwater-related data science, was held at the University of Washington (UW) in partnership with the eScience Institute and the UW Freshwater Initiative Mar. 25 – 29, 2019. The event received funding from the National Science Foundation CyberTraining Program. Participants hailed from the UW and…
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Reflections on five years of the Moore-Sloan Data Science Environments
April 10, 2019 The Moore-Sloan Data Science Environments (MSDSE) program, established jointly by the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation, was launched in 2014 to foster and enhance data-intensive discovery at academic institutions. The program initially funded three data science environments for five years (recently extended for an additional two…