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Sign Up for the 2023 ICESat-2 Cloud Hackweek
Don’t miss your chance to sign up for our ICESat-2 Cloud Hackweek! This in-person, collaborative event will take place on the UW campus in Seattle from August 7th through 11th, 2023. Hackweeks are participant-driven events that strive to create welcoming spaces for participants to learn new things, build community and gain hands-on experience with collaboration…
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Meet the DSSG 2023 Teams
The eScience Institute’s annual Data Science for Social Good (DSSG) program kicks off next week, and we are excited to host a new group of Student Fellows at the WRF Data Science Studio throughout the summer. 2023 marks the ninth year of DSSG, and two teams will spend the next ten weeks collaborating with our…
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Generating regionally integrative datasets to understand groundwater insecurities in the Colorado River Basin
Project leads: Akshay Mehra, Assistant Professor of UW Earth and Space Sciences, and Sameer Shah, Assistant Professor of UW Environmental and Forest Sciences Data scientist: Vaughn Iverson DSSG fellows: Yuanning Huang, Kimberly Kreiss, Maia Powell, and Aanchal Setia. Get the participant bios here. The Colorado River Basin (CRB) is experiencing unprecedented water scarcity. Arguably, the CRB is an…
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Heating Pumps in Alaska and Beyond
Project leads: Erin Trochim, Research Assistant Professor, Alaska Center for Energy and Power, University of Alaska Fairbanks Data scientist: Maddie Gaumer DSSG fellows: Aminat Adefolu, Silas Gifford, Katherine Grisanzio, and Brian Leung. Get the participant bios here. Decarbonization, a pressing global issue, necessitates the transition from carbon-intensive power to net-zero sources. The Arctic is an area of particular concern,…
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Echopype: Interoperability and Scalable Ocean Sonar Data Analysis
Partners: Wu-Jung Lee and Emilio Mayorga SSEC Engineers: Don Setiawan and Valentina Staneva Research Goals and Domain Scientists commonly use active sonar systems to collect data about mid-trophic level animals, such as zooplankton and small fish that play an important role in marine ecosystems. Echosounders, or fish-finders, are high-frequency sonar systems that emit pulses of…
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NoisePy: Ambient Field Seismology
Partners: Marine Denolle, Yiyu Ni, and Kuan-Fu Feng SSEC Engineers: Carlos Garcia Jurado Suarez and Ishika Khandelwal Research Goals and Domain The Earth’s ambient field contains a great deal of information about its structure. Changes in this structure occur at a vast range of temporal and spatial scales. We can record these changes thanks to…
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Wet AI: Collaborative Neurobiology
Partners: David Haussler, Matt Elliot, David Parks, and Lon Blauvelt SSEC Engineers: Cordero Core and Don Setiawan Research Goals and Domain Cerebral organoids are synthetic tissues derived from induced or natural stem cells within a laboratory setting. Once they are differentiated, these structures offer an avenue for researchers and students to probe and stimulate neural…
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Offshore Geodesy: Advancing Research and Collaboration in Seafloor Deformation
Partners: David Schmidt and John DeSanto SSEC Engineers: Don Setiawan and Madhav Kashyap Research Goals and Domain The Near-Trench Community Geodetic Experiment, is a five-year NSF-funded project aimed at establishing open and accessible seafloor deformation data in the Alaska and Cascadia regions, both notorious for witnessing some of the largest earthquakes and tsunamis in recorded…
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Neglected Diagnostics: Democratizing Genetic Testing
Partners: Hal Holmes, Misa Winters, and Cifeng Fang SSEC Engineers: Aniket Fadia, Carlos Garcia Jurado Suarez, and Rashmika Reddy Research Goals and Domain Genetic testing is routinely relied upon to detect the illegal trafficking of wildlife, the introduction of invasive species and pathogens, as well as monitor disease spread or outbreaks that can devastate the…
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Investigating Structure of Social Science Research Datasets for Better ML Evaluation
Project Lead: Bernease Herman, eScience Data Scientist Specialized machine learning architectures, such as deep learning, typically rely on inductive biases and other data-specific correlational structure information to produce more effective models. Similarly, the design and evaluation of differentially private synthesizers depends heavily on the correlational structure of the datasets most commonly used in the field. We…