January 11: “The Unequal Landscape of Civic Opportunity in America: Evidence from 1.8 Million Tax Returns” with Jae Yeon Kim, Safety Net Innovations Lab

January 18: “Mobile sensing with shallow recurrent decoder networks” with Megan Ebers, AI Institute in Dynamic Systems

January 25: “Decoding Terminators: Synthetic terminator designs enabled by comprehensive analysis of plant terminators” with Sayeh Gorjifard, UW Genome Sciences postdoctoral scholar

February 1: “Leveraging Nature’s Translation Between Low and High Temperature Proteins with Deep Learning” with Evan Komp, recent PhD in UW Chemical Engineering Data Science

February 8: “Reconstructing the synaptic wiring diagram of the fruit fly brain” with Sven Dorkenwald, Shanahan Foundation Fellow

February 15: “Robustly estimating heterogeneity in factorial data using Rashomon Partitions” with Tyler McCormick, UW Statistics and Sociology

February 22: “A gentle & comparative introduction to social network analysis using Python and R” with Jose Manuel Magallanes, Computational Public Policy

February 29: “Data-driven open source projects: preventing random acts of metrics” with Julia Ferraioli from AWS

March 7: “Mechanics-informed, geospatial ML for natural hazard planning & response” with Morgan Sanger, UW Geotechnical Engineering

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

October 24: “Identifying and estimating causal effects with incomplete causal information” with Ema Perkovic, UW Assistant Professor of Statistics

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

March 29: Winter Incubator 2023 presentations from Will Kumler (UW Oceanography) and Bernease Herman (eScience Institute)

April 5: Winter Incubator 2023 presentation from Yiyu Ni (UW Earth and Space Sciences)

April 12: Winter Incubator 2023 presentations from Cassia Cai and Jacob Cohen (UW Oceanography), and Eric Gagliano (UW Civil & Environmental Engineering)

April 19: “Using computer vision to study animal behaviors in natural environments” with Ben Koger, UW Data Science Postdoctoral Fellow

April 26: “Ocean Warming Threatens the Survival of Key Microbes” with François Ribalet, UW Oceanography

May 3: “Data Mining the Earth’s Vibrations” with Marine Denolle, UW Earth & Space Sciences

May 10: “Government Open Data for Data Scientists“ with Cathi Greenwood, Open Data Program Manager

May 17: “Introducing pseudopeople: census-scale simulated data for entity resolution” with Abraham Flaxman, UW Institute for Health Metrics and Evaluation

May 31: “Fast Machine Learning on FPGAs for particle physics applications” with Elham Khoda, UW Physics

January 5: “Reducing data and computational requirements in machine learning with data selection techniques” with Steve Mussmann, IFDS Postdoctoral Fellow UW

January 12: “Simons CMAP: Harmonized global ocean data portal for multidisciplinary analysis” with Mohammad Dehghani Ashkezari, UW Oceanography

January 19: “Toward The Next-Generation Health and Well-being: Bridging Behavior Modeling & Intervention“ with Orson Xu, UW iSchool PhD Candidate

January 26: “Measuring the Global Burden of Disease (GBD) and Disparities Across Various Health Conditions” with Ali Mokdad, UW Population Health

February 2: “Community-based approaches to understanding respiratory virus transmission” with Helen Chu, UW Medicine, Epidemiology, and Global Health

February 9: “Environmental implications of large language models: What, why, how?” with Emma Strubell, Carnegie Mellon University Language Technologies Institute

February 23: “Automated Geoscience with Robotics and Machine Learning: A New Hammer of Rock Mapping, Detection, and Dynamics Analysis” with Zhiang Chen, Arizona State University

March 2: “Responsible AI Mitigations and Tracker: New open-source tools for guiding mitigations in Responsible AI” with Besmira Nushi, Microsoft Research

March 9: “Engineering biomolecular regulation via high throughput assays and deep learning” with Sebastian Castillo-Hair, UW Data Science Postdoctoral Fellow

October 4: “Envision a Humanistic Turn in Data Studies: A case study of Spatial Data Science” with Bo Zhao, UW Associate Professor of Geography

October 11: “2022 Data Science for Social Good” final presentations: heating loads in Alaska and beyond, and satellite streaks in astronomical images

October 18: “Digital Technologies for Disease Diagnosis: Integrating Imaging & Data Science” with Shachi Mittal, UW Assistant Professor of Chemical Engineering

October 25: “2022 Data Science for Social Good” final presentations: Self-Sufficiency Standard database, and tracking intergenerational poverty

November 1: “Introduction to Planet and Data Access Through the NASA Commercial SmallSat Data Acquisition (CSDA) Program” with Tanya Harrison, Director of Strategic Science Initiatives at Earth imaging company Planet Labs

November 8: “Homomorphic Encryption for Encrypted Machine Learning through the OpenFHE library” with Ian Quah, software engineer at Duality Technologies

November 15: “Topic correlation networks inferred from open-ended survey responses reveal signatures of ideology behind carbon tax opinion” with Maximilian Puelma Touzel, Research Associate at Mila, Québec AI Institute/Université of Montréal

December 6: “Children’s Behavior, Morality and Meaning: Re-discovering Anthropological Fieldnotes via Natural Language Processing Techniques” with Jing Xu, UW Affiliate Assistant Professor of Anthropology

April 6: “2022 Winter Incubator” final presentation with Zoe Krauss (UW Oceanography)

April 13: “2022 Winter Incubator” final presentations with Katie Gonser (UW International Studies) and Sierra Schleufer (UW Neuroscience)

April 27: “Evolution of Multisite Neuroimaging Analysis: Advancements through the Enhancing Neuroimaging Genetics through Meta Analysis (ENIGMA) Consortium and LoBeS” with Neda Jahanshad, Associate Professor of Neurology and Biomedical Engineering and Principal Investigator at the Laboratory of Brain eScience (LoBeS) at USC

May 4: “Machine Learning Quantum Materials” with Ting Cao, Assistant Professor of Materials Science & Engineering at the University of Washington

May 11: “Star Sounder: An Auditory Exploration of the Milky Way” with Juan Pampin (UW DXARTS), Daniela Huppenkothen (SRON Netherlands Institute for Space Research), James Davenport (UW Astronomy), and James Wenlock (UW Computational Auricular Acoustics)

May 18: “2022 Winter Incubator” final presentation with Ali Chase (UW Applied Physics Laboratory)

May 20: “Historical Trends in English Sentence Length & Syntactic Complexity” with Mark Liberman, Professor of Linguistics at the University of Pennsylvania, and Director of the Linguistic Data Consortium

May 25: “Behavior-Driven Optimization for Interactive Data Exploration” with Leilani Battle, Assistant Professor at the UW Allen School of Computer Science & Engineering, and co-director of the Interactive Data Lab

June 1: “Tackling Climate Change with Machine Learning” with Priya L. Donti, PhD Candidate at Carnegie Mellon University and co-founder and chair of Climate Change AI

January 6: “Can Large Scale Information Access Systems Be Made Fair, Unbiased, and Transparent?” with Chirag Shah, Associate Professor at the UW Information School and Founding Director of InfoSeeking Lab

January 20: “Artificial Judgement Assistance from teXt (AJAX): Applying Open Domain Question Answering to Nuclear Non-proliferation Analysis” with Megha Subramanian and Alejandro Zuniga, data scientists from the Pacific Northwest National Laboratory (PNNL)

January 27: “Bayesian Meta-Prior Learning Using Empirical Bayes” with Sareh Nabi, postdoctoral scholar at Amazon’s sponsored ads team

February 3: “From Pixels to People: 3D Urban Form and Mental Well-Being” with Karen Chen, Postdoctoral Fellow at the School of the Environment at Yale University

February 10: “Understanding the streetscape and human well-being through spatial data science” with Xiaojiang Li, Assistant Professor of Geography & Urban Studies at Temple University

February 17: “Data center energy use: Knowns, unknowns, and how estimates are made” with Eric Masanet, Professor and Mellichamp Chair in Sustainability Science for Emerging Technologies at UC Santa Barbara

February 24: “Localizing data-driven climate and health adaptation: downscaling from international to individual” with Evan Mallen, ORISE Fellow at the Center for Disease Control and Prevention

March 3: “Applications of spatial and data-driven approaches in urban environmental exposure modeling for public health” with S.M. Labib, Assistant Professor of Data Science & Environmental Health at Utrecht University

October 5: “Building a toolbox for studying marine ecology using large ocean sonar datasets” with Wu-Jung Lee, Senior Oceanographer at the UW Applied Physics Laboratory

October 12: 2021 Data Science for Social Good Projects: “Developing Ensemble Methods for Initial Districting Plan Evaluation” and “Geography, Equity, and the Seattle $15 minimum wage ordinance”

October 26: “Correcting coarse-resolution weather and climate models by machine learning from global storm-resolving simulations” with Brian Henn, Machine Learning Scientist with the AI2 Climate Modeling team

November 9: “Understanding decadal variability in global lake water storage using satellite data and modelling” with Fangfang Yao, Cooperative Institute for Research in Environmental Sciences (CIRES) at the University of Colorado, Boulder

November 16: “You May Not Have Noticed, but Your Neural Network Did: Machine Learning from Simulated Enzyme Variants” with Tucker Burgin, Chemical Engineering Postdoctoral Fellow at the eScience Institute, and “Giving Attention to Generative Models for De Novo Molecular Design” with Orion Dollar, UW Chemical Engineering PhD candidate

November 30: “Cautiously Constructing Charts” with Michael Correll, Senior Research Scientist at Tableau Research

December 8: “Data-Intensive Geospatial Understanding in the Era of AI and CyberGIS” with Shaowen Wang, Professor and Head of the Department of Geography & Geographic Information Science at the University of Illinois Urbana-Champaign (co-sponsored with the UW School of Environmental & Forest Sciences)

March 31: “2021 Winter Incubator” final presentations with Dhruv Balwada (UW Oceanography) and Aji John (UW Biology)

April 7: “2021 Winter Incubator” final presentations with Wei-Yi Cheng (UW Atmospheric Sciences) and Jennifer Hsiao (UW Biology)

April 14: “2021 Winter Incubator” final presentation with David Diaz (UW Environmental & Forest Sciences Engineering)

April 28: “Evaluating the Mobilization Effect of Online Political Network Structures: A Comparison between the Black Lives Matter Network and Ideal Type Networking Configurations” with Yuan Hsiao, PhD candidate (UW Sociology) and Masters student (UW Statistics)

May 5: “Computation Modeling of Human Behavior for Health and Wellbeing” with Afsaneh Doryab, Assistant Professor of Systems and Information Engineering at the University of Virginia

May 12: “Learning Quadratic Games on Networks” with Yan Leng, Assistant Professor at the McCombs School of Business at the University of Texas at Austin

May 19: “Listening to the Ocean: Sound of Rain and Wind” with Shima Abadi, Assistant Professor of Mechanical Engineering (UW Bothell)

May 26: “Data Integration Across Space and Time to Infer Biodiversity Dynamics” with Rosemary Gillespie, Professor & Schlinger Chair of Systemic Entomology, UC Berkeley, and “Diversity in Animal Response to Environmental Change” with Shelly Trigg, Research Scientist, Gloucester Marine Genomics Institute; Former UW Data Science Postdoctoral Fellow

January 7: “Using Data to Improve Equity” with Jeanne Holm, Deputy Mayor for Budget and Innovation for the City of Los Angeles

January 14: “GPU or FPGA-accelerated AI Inference as a service for LHC physics” with Shih-Chieh Hsu, UW Associate Professor of Physics and a member of the UW Elementary Particle Experiment Group

January 21: “Embedding neural networks into large Earth systems models” with Andrew Bennett, PhD candidate at the UW Department of Civil & Environmental Engineering

January 28: “Towards naturalistic human neuroscience and neuroengineering” with Steven Peterson, postdoctoral scholar currently studying electrocorticography (ECoG) recordings during naturalistic movements

February 4: “Building containerized workflows using the BioDepot-workflow-builder” with Ka Yee Yeung, Professor in the School of Engineering and Technology at UW Tacoma, and Adjunct Professor of Microbiology at UW Seattle

February 11: “They Came to Egypt: Databases and Digital Editions of 19th Century Nile Travelogues” with Sarah Ketchley, Egyptologist and art history scholar in the Department of Near Eastern Languages & Civilization at UW

February 25: “Leveraging Real-World Data to Move Mountains in Medicine” with Daniel Low, Associate Professor at UW Medicine and Anesthesiologist at Seattle Children’s Hospital

March 4: “Fusing Confusing Data Streams: Insight Into Seattle’s Transportation System” with Chase Dowling, Applied Scientist at Pacific Northwest National Laboratory

March 11: “Radiant MLHub: an Ecosystem to Advance Machine Learning Applications in Earth Science” with Hamed Alemohammad, Executive Director and Chief Data Scientist at the nonprofit organization Radiant Earth

October 6: 2021 Data Science for Social Good Projects: “Identifying Coronavirus Disinformation Online” and “Geography, Equity, and the Seattle $15 minimum wage ordinance”

October 13: “Fast, Accurate, and Fully Automated Protein Complex Structure Prediction from 3D Cryo-EM and Sequence” with Dong Si, Assistant Professor, Computing and Software Systems at UW Bothell

October 20: Two early career data science researchers from UW share their latest work: “No evidence of arctic-boreal lake greening” with Catherine Kuhn (Environmental Sciences), and “Applications of Adaptive Experimentation” with Lalit Jain (Business)

October 27: Two early career data science researchers from UW share their latest work: “Application of a Robust Framework for neuroImaging Based Experimental Routines (FIBER) for Integrating Domain and Data Science” with Hawley Helmbrecht (Chemical Engineering), and “Reading Between the Lines: Mining, Normalization and Modeling of Scientific Text for the Discovery of Novel Functional Compounds” with Orion Dollar (Clean Energy Institute)

November 10: “Why We Can’t Wait: Using Social Justice to Transform Data Science” with Talitha Washington, Full Professor of Mathematics at Clark Atlanta University and Director of the Atlanta University Center Data Science Initiative

November 17: “Image embeddings of weather forecast images for search, interpolation, and clustering” with Lak Lakshmanan, Director for Data Analytics and AI Solutions on Google Cloud and former Director of Data Science at Climate Corporation and a Research Scientist at NOAA

December 1: “Noisy positive-unlabeled machine learning for genetic variant interpretation” with Vikas Rao Pejaver, Moore-Sloan & WRF Innovation in Data Science Fellow, Department of Biomedical Informatics and Medical Education at UW

December 8: “From Sky Surveys to Cancer: Spatial Data is Everywhere” with Alexander Szalay, Bloomberg Distinguished Professor of Physics, Astronomy and Computer Science at The Johns Hopkins University