Category: Incubator Project

• Human versus AI Morality: Reading a Rare Archive on Social Life in Rural Taiwan

  

  Project Lead: Jing Xu, UW Center for Globally Beneficial AI and UW Anthropology Data Scientists: June Yang and Curtis Atkisson LLMs are increasingly used to analyze and explain cultural-historical materials, yet their interpretation is neither neutral nor objective. Rather, it is an encounter between texts and interpretive devices, both with their own positionalities shaped by…

• How instrumentation coverage and historical data shape the prediction of climate-driven distribution-grid vulnerability

  

  Project Lead: Kwame Donkor, UW Electrical and Computer Engineering Data Scientists: Curtis Atkisson and Piotr Gorski  Climate change is making extreme weather more frequent and severe, putting new stress on electricity grids. In Sub-Saharan Africa, where grids must also support expanding electrification and renewable energy, this pressure is especially acute. Most outages that customers experience…

• Rebuilding the Aquatic Resources Trade in Species (ARTIS) Model’s Cloud Deployment Workflow to Improve Reproducibility and Sustainability

  

  Project Lead: Althea Marks, UW Seafood Globalization Lab Data Scientists: Jose Cols and Valentina Staneva Food systems have become increasingly globalized, with over a quarter of all food now traded internationally. Seafood is among the most highly traded foods, and it is widely recognized as a critical source of nutrition. Understanding the environmental and human…

• Development of a custom acoustic classifier to detect the Micronesian megapode, a rare bird

  

  Project Lead: Kaeli Swift, UW School of Environmental and Forest Sciences Data Science Leads: Spencer Wood and Vaughn Iverson The Commonwealth of the Mariana Islands (CNMI) is a small archipelago located in the Western Pacific. Like other island systems, the Marianas are home to several endemic and rare species, including the Micronesian megapode (Megapodius laperouse…

• Advancing Data Utility in the Washington Integrated Surveillance for Antimicrobial Resistance Database (WISAR)

  

  Project Leads: Hannah Fenelon, Peter Rabinowitz, Erica Fuhrmeister, Clare Burbick, and Vickie Ramirez, Center for One Health Research Data Science Lead: Curtis Atkisson Washington Integrated Surveillance for Antimicrobial Resistance Database (WISAR) contains over one million isolates with antimicrobial susceptibility results. These isolates are from samples from humans, animals, and the environment throughout Washington and in…

• A novel regression framework for Southern Ocean surface carbon reconstruction using merged observations from ships and autonomous floats

  

  Project Lead: Sangmin Song, Oceanography Data Science Lead: Scott Henderson The ocean holds a massive 93% of the world’s carbon that cycles among the atmosphere, land, and sea. Because of its capacity to absorb vast amounts of human-emitted carbon from the atmosphere each year, the ocean has effectively buffered society’s impact on climate over the…

• Investigating Seasonal Glacier Fluctuations in Northeast Greenland Using Machine Learning and Explainable Artificial Intelligence

  

  Project Lead: Claire Jensen, UW Earth and Space Sciences Data Science Lead: Scott Henderson The Greenland Ice Sheet (GrIS) is losing mass due, in part, to the recent speedup of many of the outlet glaciers that line the ice sheet. Mass loss from outlet glaciers can be characterized by (1) retreat of the glacier’s frontal…

• Using Computer Vision to Understand Collective Navigation in Salmon

  

  Project Lead: Andrew Berdahl, UW School of Aquatic and Fishery Sciences and Ben Koger, University of Wyoming School of Computing and Department of Zoology and Physiology Data Science Lead: Valentina Staneva From daily foraging movements to long-distance migrations, animals often travel in groups, and their navigational decisions are influenced by those around them. Theory suggests that…

• Enhancing LSTM streamflow modeling in data-scarce rain-dominated basins: the impact of using multiple precipitation products as model inputs

  

  Project Lead: Hernán Querbes Duhart Data Science Leads: Nicoleta Cristea and Scott Henderson GitHub Repo Uruguay relies heavily on hydropower, with three dams along the Río Negro providing nearly half of the country’s electricity. Accurate streamflow modeling is therefore critical for dam operations and energy reliability. Machine learning, particularly Long Short-Term Memory (LSTM) networks, has…

• On testing hearing sensitivity across the animal kingdom more quickly and accurately

  

  Project Lead: Aoi Hunsaker, Andrew Brown and Joseph Sisneros, UW Psychology Data Science Lead: Ariel Rokem I study what sounds animals can hear by recording brain responses while I play sounds over a speaker. This kind of test is called the Auditory Evoked Potential (AEP) test. There is a need in my field to do these recordings…