Tag: Bryna Hazelton

• Announcing the 2024 Data Science Incubator Projects

  

  The eScience’s annual Data Science 2024 Incubator program kicked off last week, which enables new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster computing, statistics…

• Announcing the 2023 Data Science Incubator Projects

  

  The eScience’s annual Data Science Incubator program kicked off last week, which enables new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster computing, statistics and…

• 2022 DSSG Teams Present Their Final Project Results

  

  By: Emily Keller-O’Donnell Student fellows at the University of Washington Data Science for Social Good (DSSG) program presented the results of their 10-week summer projects on August 17th. The fellows conducted their work on four interdisciplinary teams, working with project leads and data scientists.  The DSSG program at the eScience Institute brings together students from universities around the country with data…

• Exploring new understandings of the cost of living at a basic needs level using the Self-Sufficiency Standard database

  

  Project leads: Annie Kucklick, Research Coordinator, and Lisa Manzer, Director, Center for Women’s Welfare, University of Washington School of Social Work Data scientist: Bryna Hazelton DSSG fellows: Azizakhon Mirsaidova, Priyana Patel, Cheng Ren, Hector Sosa. Get the participant bios here. Project Summary: The best-known measure of income adequacy, the Official Poverty Measure, (OPM) is too low with flawed and…

• Interdisciplinary Team Designs Database to Advance ‘Self-Sufficiency Standard’ Research

  

  By: Emily Keller-O’Donnell Determining the income level that working families need to meet their basic needs requires a dynamic approach. An interdisciplinary team at the University of Washington (UW) Data Science for Social Good (DSSG) program is laying the groundwork for the integration of multi-sourced data from across the U.S. to provide researchers and policy…

• Introducing the Data Science For Social Good 2022 Projects

  

  By: Louisa Gaylord and Emily Keller-O’Donnell On June 13th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with sixteen student fellows working on four project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions. Student fellows joined the program from colleges and universities…

• Announcing the 2022 Winter Incubator Projects

  

  By: Louisa Gaylord The eScience’s annual Data Science Incubator program kicked off last week, which enables new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster…

• Introducing the New Winter Incubator Projects for 2021

  

  By: Louisa Gaylord The eScience’s Data Science Incubator program kicked off last week, which enables new research discoveries by bringing together data scientists and domain scientists to work on focused, intensive, collaborative projects. Our team of data scientists provide expertise in state-of-the-art technology and methods in large-scale data manipulation and analytics, cloud and cluster computing,…

• Researchers receive five-year grant to study homelessness and education

  

  By Emily Keller The University of Washington (UW) eScience Institute has received a five-year, $754,601 grant from the Bill & Melinda Gates Foundation to advance data analytics at organizations serving the homeless in the Puget Sound region, with a focus on educational outcomes. Through this grant, researchers at the UW will collaborate with foundation grantees that…

• 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…