-
Deep Learning to Uncover Watershed Specific Characteristics in Salmon Otolith Patterns to Aid in Management of Pacific Salmon
Project Lead: Ben Makhlouf, UW Aquatic and Fisheries Sciences Data Science Lead: Valentina Staneva Pacific salmon in western Alaska support a multi-million-dollar commercial fishing industry and are a vital source of subsistence for upstream communities. In recent years, catastrophic declines in Chinook and Chum salmon populations have severely impacted subsistence opportunities, causing significant hardship across the region.…
-
Detection of Early Warning Signals regarding Safety Concerns of Implantable Medical Devices
Project Lead: Aparna Ramanathan, UW Medicine Data Science Lead: June Yang, Spencer Wood Currently in the United States, postmarket surveillance of medical device safety is conducted via the Manufacturer and User Facility and Device Experience (MAUDE) database. MAUDE is targeted at device manufacturers and does not engage patient or provider users of new medical devices; this lack…
-
Global High-Resolution Modeling: A New Lens on the Southern Ocean
Project Lead: Mira Berdahl, UW Earth and Space Sciences Data Science Lead: Scott Henderson Modern Antarctic ice loss is largely driven by warm, dense circumpolar deep water (CDW), which reaches the ice sheet margin and causes ice to melt. Antarctic mass loss has significant implications for global sea level rise, but the mechanisms that transport CDW to…
-
Automated assessment of butterfly thermoregulatory traits from specimen images
Project Lead: Laura Buckley, UW Biology Data Science Lead: Vaughn Iverson Heterogenous responses to climate change highlight the need to identify the underlying organismal mechanisms. Insects offer an excellent system for investigating mechanisms of climate change responses due to their high sensitivity to environmental conditions and extensive historical records. Dramatic recent declines in insect populations, including of…
-
Quantitative HIV Viral Load Monitoring Via Fluorescent Image Analysis
Project Lead: Coleman Martin, UW Chemical Engineering Data Science Lead: Noah Benson In 2014 the United Nations set out to end the HIV/AIDs endemic by 2030 with the goal of having 90% of people living with HIV know their HIV status, be on retroviral treatment, and be virally suppressed. As of 2019, the most recent data, the…
-
Challenges to Climate Adaptation Among Organic Farmers in the U.S.
Project Lead: Masha Vernik, UW Environmental and Forest Sciences Data Science Lead: Curtis Atkisson As seasons become less predictable and extreme weather events become more intense and frequent, farmers learn to adapt. Adaptation can mean anything from building new infrastructure that’s out of a flood zone to installing improved irrigation lines; it can mean shifting crop plans…
-
Updating Open-Source Verbal Autopsy Software to Modern Python Standards
Project Lead: Abraham D. Flaxman, UW Global Health Data Science Lead: Bryna Hazelton, Naomi Alterman The purpose of this project is to modernize SmartVA-Analyze, an existing open-source verbal autopsy (VA) software, by transitioning its codebase from Python 2 to Python 3. Verbal autopsy is a crucial tool for estimating the causes of death in settings where…
-
Biodiversity Horizons: Predicting Climate Risks
Partners Christopher Trisos, Chief Research Officer, African Climate and Development Initiative at the University of Cape Town Cory Merow, Assistant Research Professor, University of Connecticut Andreas Schwarz Meyer, Postdoctoral Research Fellow, African Climate and Development Initiative at the University of Cape Town Ben Carlson, Postdoctoral Scholar, University of Connecticut SSEC Engineers Cordero Core, Senior Research…
-
Phylo2Vec: Accelerating Phylogenetic Research
Partners Samir Bhatt, Principal Investigator, University of Copenhagen, Department of Public Health, Section of Epidemiology & Imperial College London Neil Alexandre Scheidwasser, PhD Fellow, University of Copenhagen, Department of Public Health, Section of Epidemiology Frederik Mølkjær Andersen, PhD Fellow, University of Copenhagen, Department of Public Health, Section of Epidemiology SSEC Engineers Don Setiawan, Principal Research Software Engineer, University of…
-
Post Disaster Comms: Resilient Communities
Partners Cynthia Chen, Director, University of Washington ThinkLab Kurtis Heimerl, Assistant Professor, UW Computer Science and Engineering Dan Abramson, Associate Professor, UW Urban Design and Planning Esther Jang, Postdoctoral Scholar, UW Computer Science and Engineering Ridley LeDoux, UW Human Centered Design and Engineering SSEC Engineers Don Setiawan, Senior Research Software Enginner Niki Burggraf, Senior Research…