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July Meetup for Research Software Engineers
Join us for the Seattle Research Software Engineer (RSE) Meetup, a FREE event hosted and sponsored by the eScience Institute at the University of Washington.This introductory networking event is a great opportunity for Research Software Engineers, developers, and scientists in the Seattle area to connect, network, and build a community of RSEs. Whether you’re an experienced RSE…
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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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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…
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Wetland Communities in the US
Project Lead: Celina Balderas Guzman, UW Assistant Professor of Landscape Architecture Data Science Lead: Spencer Wood Sea level rise threatens human communities on the coast with a variety of hazards including erosion and flooding. However, these risks are reduced in locations where coastal wetlands provide a natural buffer that absorbs the force of waves created by storms.…
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Characterizing the spatio-temporal evolution of marine heatwaves
Project Lead: Cassia Cai, UW Oceanography Faculty Advisor: LuAnn Thompson, UW Oceanography Data Science Lead: Valentina Staneva Marine heatwaves (MHWs) are defined as discrete periods when local sea surface temperatures (SST) exceed a temperature threshold (e.g., a seasonally varying temperature threshold). A number of high-profile MHWs, such as the Great Barrier Reef 2002, Mediterranean Sea 2003 and 2006,…
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The Prototype of a Cloud Store for Distributed Acoustic Sensing Data
Project Lead: Yiyu Ni, Earth and Space Sciences, UW College of the Environment Data Science Leads: Naomi Alterman and Rob Fatland Distributed Acoustic Sensing (DAS) is an emerging seismic observation method that has recently enabled entirely new types of geophysical observation. DAS utilizes repeated laser pulses along optical fibers up to ~100 km in length to measure phase changes…
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Constructing a robust metric of peak quality for untargeted mass-spectrometry
Project Lead: Will Kumler, UW Oceanography Faculty Advisor: Anitra Ingalls, UW Professor of Chemical Oceanography Data Science Lead: Bryna Hazelton Mass spectrometry is a cutting-edge analysis field used to identify the molecular composition of samples taken from medical laboratories, the depths of the ocean, and even outer space. In the Ingalls Lab at UW, we use it to…