Showcasing data science in the arts, engineering, humanities, and sciences.
The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the arts, engineering, humanities and sciences along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.
The 2023-2024 seminars are in person on the UW campus, and are free and open to the public. Students may opt to sign up for a one credit seminar (CR/NCR) listed as CHEM E 599, “Topics in Data Science” or sometimes “Current Topics in Chemical Engineering.”
Winter 2024 Seminars
“Data-driven open source projects: preventing random acts of metrics” with Julia Ferraioli, AI/ML Open Source Strategist at AWS
Previous Fall 2023 Recordings
October 3: Data Science for Social Good 2023 project presentations: “Heating Pumps in Alaska and Beyond” and “Understanding Groundwater Insecurities in the Colorado River Basin”
October 10: “Misclassification in Automated Content Analysis Causes Bias in Regression. Can We Fix It? Yes We Can!” with Nathan TeBlunthuis, University of Michigan Postdoctoral Research Scholar
October 17: “Functional data analysis tools for autonomous experimentation” with Kiran Vaddi, UW Chemical Engineering Postdoctoral Scholar
- Note: due to a recording malfunction, Kiran’s slides can be viewed here.
October 24: “Identifying and estimating causal effects with incomplete causal information” with Ema Perkovic, UW Assistant Professor of Statistics
- Note: due to a recording malfunction, Ema’s slides can be viewed here.
October 31: “Data-to-Music Sonification & User Engagement: Adding a New Dimension to Data Analysis with Music” with Jonathan Middleton, Professor of Theory and Composition at Eastern Washington University
November 14: “Privacy Auditing and Protection in Large Language Models” with UW postdoctoral scholar Niloofar Mireshghallah
November 28: “AI breakthroughs for pre-processing structural and diffusion MRI data” with Eleftherios Garyfallidis, Associate Professor at Indiana University
December 5: “Population health research & research data sharing in national research consortia” with Jim Phuong, UW Biomedical & Health Informatics
This seminar is currently organized and hosted by the eScience Institute and the Engineering Data Science Institute (EDSI). We are grateful for the support of the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation.
The eScience Institute, iSchool DataLab, and CSE Interactive Data Lab co-created and hosted this seminar series from 2014 through 2019. In Fall 2020, the eScience Community Seminar merged with the UW Data Science Seminar Series.