Tag: Vaughn Iverson

• 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…

• Analyzing Groundwater Insecurities in the Colorado River Basin

  

  By: Louisa Gaylord Groundwater is a vital source of water for a large part of the United States; it’s used for drinking and irrigation, keeps wells and springs filled, and generally contains fewer contaminants than surface water. Declines in groundwater levels are a growing problem in recent years, resulting in lakes and reservoir levels dropping,…

• Meet the DSSG 2023 Teams

  

  The eScience Institute’s annual Data Science for Social Good (DSSG) program kicks off next week, and we are excited to host a new group of Student Fellows at the WRF Data Science Studio throughout the summer. 2023 marks the ninth year of DSSG, and two teams will spend the next ten weeks collaborating with our…

• Generating regionally integrative datasets to understand groundwater insecurities in the Colorado River Basin

  

  Project leads: Akshay Mehra, Assistant Professor of UW Earth and Space Sciences, and Sameer Shah, Assistant Professor of UW Environmental and Forest Sciences Data scientist: Vaughn Iverson DSSG fellows: Yuanning Huang, Kimberly Kreiss, Maia Powell, and Aanchal Setia. Get the participant bios here. The Colorado River Basin (CRB) is experiencing unprecedented water scarcity. Arguably, the CRB is an…

• 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…

• Satellite Streaks in Astronomical Images

  

  Project leads: Dino Bektešević, Graduate Student, Department of Astronomy; and Meredith Rawls, Research Scientist, Department of Astronomy, and Data-intensive Research And Cosmology (DiRAC) Fellow, University of Washington Data scientist: Vaughn Iverson DSSG fellows: Abhilash Biswas, Kilando Chambers, Ashley Santos Participant bios available here. Project Summary: We are on the cusp of fundamentally altering the night sky, which has been a source…

• Interdisciplinary Team Creates Tool to Detect and Quantify Satellite Streaks

  

  By: Emily Keller-O’Donnell  The recent growth of low-Earth-orbit satellites is posing a threat to a range of groups who rely on the sky for science, spirituality and tradition, by leaving a plethora of bright streaks across the night sky. A project team at the University of Washington Data Science for Social Good (DSSG) program is…

• 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…

• 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…

• Developing Ensemble Methods for Initial Districting Plan Evaluation

  

  Project leads: Daryl DeFord, Assistant Professor of Data Analytics in the Department of Mathematics and Statistics at Washington State University Data scientists: Bernease Herman and Vaughn Iverson DSSG fellows: Rowana Ahmed, Katherine Chang, Ryan Goehrung, Michael Souffrant. Get the participant bios here. Project Summary: Gerrymandering, the drawing of legislative boundaries for improper purposes, is a fundamental threat to…