-
Discover How AI is Utilized Across UW
By: Louisa Gaylord Earlier this week, the eScience Institute co-hosted Discovering AI@UW, an event that brought together artificial intelligence experts from across the University of Washington campus to discuss their projects and how they intersect. Over 180 people attended the event, both streaming online via zoom and in person in the Lyceum Room of the…
-
Evolving the Hackweek Model with ICESat-2 2022
By: Scott Henderson and Louisa Gaylord The eScience Institute hosts a variety of hackweeks every year, which are designed to immerse participants in collaborative project work around a specific topic. Hackweeks try to blend elements of a hackathon, where participants work collaboratively in project teams, with tutorials on a variety of data science topics in…
-
Python for Humanities: an Intro for Researchers
By: Louisa Gaylord Last week the eScience Institute and UW Libraries Open Scholarship Commons co-hosted a workshop called “Python, your personal research assistant” for participants studying the humanities to explore the Python programming language and how to use it as a tool to aid in qualitative humanities work. Led by eScience Technical Education Specialist Naomi…
-
Mapping Fungal Relationships in Trees
By: Louisa Gaylord Korena Mafune is a 2021 Washington Research Foundation postdoctoral fellow in the University of Washington’s Department of Civil and Environmental Engineering, where she studies the symbiotic interactions among plants, fungi, and bacteria. She received her PhD from UW’s School of Environmental and Forest Sciences, where she studied the root-associated fungal communities of old-growth…
-
Mapping Fungal Relationships in Trees
By: Louisa Gaylord Korena Mafune is a 2021 Washington Research Foundation postdoctoral fellow in the University of Washington’s Department of Civil and Environmental Engineering, where she studies the symbiotic interactions among plants, fungi, and bacteria. She received her PhD from UW’s School of Environmental and Forest Sciences, where she studied the root-associated fungal communities of…
-
Patterns of COVID-19-related mis/disinformation on Twitter: themes of mis/disinformation and data visualizations
Project Lead: Katie Gonser, Jackson School of International Studies eScience Liaison: Jose Hernandez This project looks at COVID-19-related mis/disinformation in Louisiana and Washington state during the first two surges of the pandemic. Part of a broader collaborative study between social scientists at the University of Washington and computer scientists at Louisiana State University (LSU), this research…
-
Geometry of Color: Connecting spectral topography of the central cone photoreceptor mosaic to functional limits of the human trichromatic visual system
Project Lead: Sierra Schleufer, Neuroscience eScience Liaison: Bryna Hazelton Humans experience remarkable visual acuity among mammals thanks to a retinal mosaic in which cone photoreceptors sensitive to three spans of the visual spectrum are increasingly concentrated toward the central visual field. Our trichromatic vision allows us to discriminate hues along two spectrally opponent axes in addition to…
-
Climate Refuge in Urban Areas: Using Spatial Data to Identify Risk and Benefit Tradeoffs
Project Lead: Rebecca Neumann, Civil & Environmental Engineering eScience Liaison: Spencer Wood and Scott Henderson In Washington State, climate change is causing more frequent summer water shortages, wildfire, flooding, poor air quality, heat-related illnesses, respiratory illnesses, and mental health stress. Socially and economically disadvantaged people are disproportionately impacted by these changes. Given these disproportionate impacts, there is a…
-
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…
-
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…