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User-friendly Tools for Oceanic Plankton Image Analysis (UTOPIA)
Project Lead: Ali Chase, Washington Research Foundation Postdoctoral Fellow, Applied Physics Laboratory eScience Liaison: Valentina Staneva Thanks to recent advances in instrumentation, we can now observe phytoplankton – the single-celled autotrophs that form the base of the marine food web – using automated, high-throughput microscopy. Millions of phytoplankton images have been collected from oceans and seas…
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Machine-learning-based detection of offshore earthquakes
Project Lead: Zoe Krauss, School of Oceanography, College of the Environment eScience Liaison: Scott Henderson The fault zones that cause the most devastating earthquakes and tsunamis on Earth lie beneath our oceans, but offshore seismic observations are severely limited by a lack of instrumentation and noisy data. To fully understand Earth’s geodynamics and the hazard that…
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Winter School 2022 Program Wrap-Up
The eScience Institute’s “Winter School on Data Science Tools” recently concluded, which was led by Senior Data Science Fellow Jose Manuel Magallanes, renowned Computational Policy Scientist from Pontificia Universidad Católica del Perú, who is a visiting professor with support from the Evans School of Public Policy and the eScience Institute. The 2022 Winter School introduced…
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New Software Engineering Center to Accelerate Scientific Discovery at UW
Software engineering is vital to Seattle’s emergence as a tech leader driving a local climate of innovation. The new Scientific Software Engineering Center (SSEC) at UW’s eScience Institute will leverage local software engineering talent to advance scientific frontiers that will change the world around us and respond to the challenges that face humanity. The SSEC,…
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Modeling and Predicting Tree Growth with Data Science
By: Louisa Gaylord Stuart Ian Graham is a graduate student in the University of Washington’s Biology program who recently published a paper with Senior Data Science Fellow and eScience Institute Research Scientist Ariel Rokem, along with others from the University of Washington, Université de Montpellier, and University of California Los Angeles. The paper, published in…
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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…
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Data Science Minor Student Profile: Stefan de Villiers
By: Louisa Gaylord The University of Washington hosted the Data Science Minor Showcase several weeks ago, an event for undergraduates to explore the curriculum offered as part of the Data Science Minor program that was launched in Fall 2020. The showcase featured UW faculty outlining the new courses they have developed for the Minor, personal…
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Data Science Minor Student Profile: Bonnie Du
By: Louisa Gaylord Last Fall quarter, the University of Washington launched the Data Science minor program to bring data science to a wide range of undergraduates within and beyond the STEM fields. Data science is incredibly versatile because it brings together scientific processes and analytical tools, like deep learning and data visualization, to extract insights…
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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…
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Pioneering New Platforms to Harness Astrophysical Data
This week the University of Washington and Carnegie Mellon University announced a multiyear collaboration effort to create new software platforms to analyze large astronomical datasets generated by the upcoming Legacy Survey of Space and Time (LSST). The open-source platforms are part of the new LSST Interdisciplinary Network for Collaboration and Computing — known as LINCC…