Tag: social good

• 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…

• Applying ‘Geospatial First’ Approach to Estimating Heating Loads in Alaska

  

  By: Emily Keller-O’Donnell Decarbonization efforts to mitigate the impacts of climate change face a unique challenge in Alaska. While about 70 percent of energy use in the state goes to heating, there is a lack of reliable broad-scale data on the portion of energy that is used for heating in buildings. An interdisciplinary team at…

• Data Science for Social Good Team Builds Tools to Support Fairness in Computational Redistricting

  

  By: Emily Keller-O’Donnell This fall, Congressional leaders will begin the state redistricting process that takes place every ten years to reflect population changes captured by the U.S. Census. As the process gets underway, a team in the  University of Washington Data Science for Social Good (DSSG) program is creating a resource guide to help nonpartisan…

• 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 Fellows Present Their Project Results

  

  By: Emily Keller-O’Donnell This year, two interdisciplinary teams at the eScience Institute’s Data Science for Social Good (DSSG) program tackled timely issues, conducting projects to identify disinformation articles about the coronavirus and detect minority vote dilution resulting from geographic boundary setting in state, city, county and school board districts. On August 19th, the DSSG student…

• Algorithmic Equity Toolkit

  

  By: Mike Katell We are extremely proud to introduce the Algorithmic Equity Toolkit, planned and co-designed as a project of the Data Science for Social Good program (DSSG) at the eScience Institute in the summer of 2019. The Algorithmic Equity Toolkit, or ‘AEKit,’ is a set of resources designed to help individuals better identify government…

• Open Sidewalk Graph for Accessible Trip Planning

  

  Project Leads: Nick Bolten, Anat Caspi DSSG Fellows: Amir Amini, Yun Hao, Vaishnavi Ravichandran, Andre Stephens ALVA Students: Nick Krasnoselsky, Doris Layman eScience Data Scientist Mentors: Anthony Arendt, Jake Vanderplas This project is an extension of the “Hackcessible” project that was awarded top prize in this year’s “HackTheCommute” event in Seattle. Hackcessible has built an application that helps people…