Tag: data science

• Using Data Science to Track Marine Heatwaves

  

  By: Louisa Gaylord UW School of Oceanography Professor LuAnne Thompson and recent PhD graduate Hillary Scannell are leading a team that uses data science to track and predict marine heatwaves (MHW). These extreme hot-water events have had dramatic ecological impacts and have led to widespread toxic algal blooms, habitat degradation, and loss in commercially valuable…

• Reflecting on a Novel Year of Virtual Hackweeks

  

  By: Jane Koh In early March 2020, as the dimensions of the Covid-19 pandemic started to become clear, the Waterhackweek organizing team was only three weeks out from hosting its in-person event when they made the tough decision to postpone the hackweek until August. They joined several other hackweeks, all faced with the challenge of…

• Waterhackweek 2020 Reflections

  

  From August 31st to September 4th, 37 global participants logged on to take part in Waterhackweek (WHW) 2020. With the hackweek originally scheduled to take place in person in March, the organizers experienced the challenge of extending their efforts to recruit a new set of participants and experiment with ways of moving the collaborative event…

• OceanHackWeek 2020 Reflections

  

  The third annual OceanHackWeek (OHW) program was held entirely online on August 10th through 14th this year. The weeklong-program combines data exploration, peer learning and software development as participants dive into the interdisciplinary nature of oceanography, from genomics to global surface temperature. 47 OHW 2020 participants embraced Python and R, the two most widely used…

• 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…

• DSSG Project Supports Equity in Voting District Boundaries

  

  By: Emily Keller-O’Donnell As states, counties, cities and school boards across the country prepare to re-draw their voting districts in 2021, a software package that is being updated through the Data Science for Social Good (DSSG) program will help to ensure equal representation among constituents. Voting district boundaries are re-drawn after each Census to account for…

• DSSG Team’s Model Will ID Online Coronavirus Disinformation

  

  By: Emily Keller-O’Donnell While informative news articles about COVID-19 play a key role in fighting the pandemic, a range of erroneous blogs and articles with fake virus cures, political propaganda and conspiracy theories are also circulating online. A new open source tool being developed as a project in the eScience Institute’s Data Science for Social…

• 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…

• Data Science for Social Good launches projects on polarized voting and online disinformation

  

  By: Emily Keller-O’Donnell On June 15th, the University of Washington’s Data Science for Social Good (DSSG) summer program began with eight fellows working on two project teams in collaboration with data scientists from the eScience Institute and project leads from academic institutions and nonprofit organizations. Student fellows joined the program from colleges and universities around…