Tag: Valentina Staneva

• 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…

• Echopype: Interoperability and Scalable Ocean Sonar Data Analysis ​

  

  Partners: Wu-Jung Lee and Emilio Mayorga SSEC Engineers: Don Setiawan and Valentina Staneva Research Goals and Domain Scientists commonly use active sonar systems to collect data about mid-trophic level animals, such as zooplankton and small fish that play an important role in marine ecosystems. Echosounders, or fish-finders, are high-frequency sonar systems that emit pulses of…

• 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…

• 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…

• Data Science for Social Good Teams Present Their Project Results

  

  By: Emily Keller-O’Donnell On August 18th, student fellows at the eScience Institute’s Data Science for Social Good (DSSG) program presented the results of their 10-week summer projects on the topics of fairness in computational redistricting, and the impacts of Seattle’s minimum wage ordinance in relation to residential displacement and commuting patterns. The student fellows conducted…

• Geography, Equity, and the Seattle $15 Minimum Wage Ordinance

  

  Project leads: Jennie Romich, Professor of Social Welfare at the UW School of Social Work and Faculty Director of the West Coast Poverty Center Data scientists: Jose Hernandez and Valentina Staneva DSSG fellows: Lamar Foster, Delaney Glass, Christopher Salazar, Mahader Tamene Participant bios available here. Project Summary: This project examines the minimum wage as a solution to income inequality – and one potential…

• Data Science for Social Good: Exploring Geographic Factors of Seattle’s Minimum Wage Law

  

  By: Emily Keller-O’Donnell When the Seattle minimum wage law took effect in 2015, it dovetailed with an increase in housing prices as an influx of high-wage technology workers moved to the region. For an interdisciplinary team in the University of Washington Data Science for Social Good (DSSG) program, this raises the question of whether some…

• Data Science for Social Good Program Launches for Summer 2021

  

  By: Emily Keller On June 14th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with eight student fellows working on two 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 around the country.…

• 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,…

• Natural Language Processing for Peer Support in Online Mental Health Communities

  

  Project leads: Tim Althoff, Assistant Professor, Computer Science & Engineering, University of Washington; and Dave Atkins, Research Professor, Psychiatry and Behavioral Sciences, University of Washington Data science lead: Valentina Staneva DSSG fellows: Shweta Chopra, David Nathan Lang, Kelly McMeekin Project Summary: Everyone encounters challenges in life – whether that includes stress from school or work or more significant problems…