Tag: Data Science for Social Good
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Improving transit services using ORCA data
Project lead: Mark Hallenbeck, senior data science fellow, director of the Washington State Transportation Center Project mentor: Michael Wolf Data scientist leads: Jake VanderPlas (primary), Bryna Hazelton (secondary) DSSG fellows: Mayuree Binjolkar, Daniel Dylewsky, Andrew Ju, Wenhao Zhang Project Summary: Seven regional transportation agencies in the greater Puget Sound region use a common electronic fare payment system, called One Regional Card…
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Social good fellows win Seattle Angelhack
By Robin Brooks 2017 Data Science for Social Good fellows Brett Bejcek, Mayuree Binjolkar, and Orysya Stus, with UW electrical engineering PhD student Yana Sosnovskaya, competed in and won the ‘Best use of HERE Technologies’ challenge at Seattle’s AngelHack, July 15 -16. The team developed an SMS-based (text messaging) application called Basic Needs, which utilizes Amazon…
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Data Science for Social Good fellows meet in Vancouver
By Robin Brooks The first Cascadia Urban Analytics Cooperative Summit took place on the University of British Columbia campus July 13 – 14. eScience Data Science for Social Good (DSSG) student fellows and project leads joined with UW faculty to meet their counterparts in UBC’s pilot DSSG program. Events included mid-term presentations by the four UW…
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Data Science for Social Good fellows take AI prize
By Robin Brooks Four of the 2017 eScience Institute’s Data Science for Social Good (DSSG) fellows took first place in the Seattle Global AI Hackathon, “the world’s first ever AI hackathon series”. Brett Bejcek, Mayuree Binjolkar, Orysya Stus, and Michael Vlah met during the DSSG program and designed a fake news detector called Breaking News based on…
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Data science team wins Husky Seed Fund Award
By Robin Brooks A team of data scientists, including Anat Caspi, data science fellow and director of the Taskar Center for Accessible Technology, Nick Bolton, former Data Science for Social Good (DSSG) project lead, ethnographer Anissa Tanweer, and former DSSG Student Fellows Jess Hamilton and Kaicheng Tan, along with collaborators from the eScience Institute, Urban@UW and Sound…
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Data Science for Social Good fellow presents at NetMob17
Rachael Dottle, a 2016 eScience Data Science for Social Good (DSSG) fellow, recently presented a paper titled “A tool for estimating and visualizing poverty maps” at NetMob17 in Milan, Italy. This paper is a direct outgrowth of the team’s DSSG project. We reached out to Dottle to find out how her trip went; here are her…
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Microsoft $1M gift for new UW, UBC urban data partnership
By Robin Brooks The University of Washington and the University of British Columbia are partnering on a new collaboration called the Cascadia Urban Analytics Cooperative (CUAC), which will connect researchers, students and public stakeholders working on urban issues across the region. A $1 million donation from Microsoft will allow the two universities to work together using data…
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Data Science for Social Good collaboration nets WSDOT funding
By Robin Brooks A collaboration between two eScience Institute Data Science for Social Good (DSSG) project leads has resulted in a financial award which allows them to continue their work. Mark Hallenbeck, director of the Washington State Transportation Center, and Anat Caspi, director of the Taskar Center for Accessible Technology, both eScience fellows, answered questions submitted…
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eScience Institute 2016 highlights
By Robin Brooks As 2016 draws to a close, we wanted to take a moment to share some of the exciting milestones the eScience Institute hit over the course of the past year. Over 2400 attendees participated in hundreds of data science events, trainings, seminars, working groups and receptions from Nov. 1, 2015 through Oct.…
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DSSG projects highlighted in the media
By Robin Brooks The eScience Institute’s Data Science for Social Good fellows presented their final projects on August, 18th to a packed auditorium. The sixteen fellows have been working for the last ten weeks on four projects designed to tackle urban issues that might be solved with data analysis. The final presentations received media coverage (see…