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Dry Thunderstorm Forecast Using Machine Learning Techniques
Project Lead: Wei-Yi Cheng, Department of Atmospheric Sciences eScience Liaison: Scott Henderson Dry thunderstorms (DT) are convective storms that generate lightning flashes without significant rainfall at the ground. The frequent occurrence of DTs has long been an important safety concern in the western United States due to its connection to wildfire events. An accurate forecast for…
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The Universe of International Treaties
Project Lead: Bree Bang-Jensen, Department of Political Science eScience Liaison: Jose Hernandez and Spencer Wood The greatest challenges of the 21st century are cross-national, including climate change, migration, epidemics, inequality and financial corruption. As a result, it is critical that we better understand the factors that endanger international cooperation. Despite a wealth of research on how the design of…
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Using Gliders to Observe Submesoscale Flows
Project Lead: Dhruv Balwada, School of Oceanography, College of the Environment eScience Liaison: Rob Fatland and Scott Henderson Since the industrial revolution 25-30% of the human-created carbon and 90% of the excess heat in the earth system has been sequestered into the deep ocean. These tracers (like heat, carbon and oxygen) are transported from the surface into the…
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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,…
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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…
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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…
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Academic Data Science Alliance 2020 Annual Meeting
By: Louisa Gaylord The Academic Data Science Alliance (ADSA) hosted their annual meeting from October 14th through 16th, which brought together data science methodologists and domain researchers from all disciplines and career stages to share breakthroughs and new approaches in data science research and education, with a strong emphasis on responsible data science. The virtual…
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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…
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Migrating the DSSG Summer Program to a Remote Setting
By: Emily Keller-O’Donnell After five years of running the Data Science for Social Good (DSSG) summer program in the eScience Institute’s open studio space – where project leads spend at least two days per week with full-time student fellows and in-house data scientists for ten weeks – the program has now completed its first successful…
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Call for Invited Presenters – UW Data Science Seminar
Call for Invited Presenters – UW Data Science Seminar – University of Washington Seattle We are inviting applications for guest presenters for the UW Data Science Seminar, an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the arts, engineering, humanities and sciences along…