UW Data Science Seminar
Analysis, Visualization & Discovery
The Data Science Seminar is a university-wide effort bringing together thought-leading speakers and researchers across campus to discuss topics related to data analysis, visualization and applications to domain sciences. All seminars are free and open to the public.
2018/2019 School year schedule
Oct 2 | ![]() |
“Data visualization for analysis & discovery” Zan Armstrong, Data Visualization Designer and Engineer Google |
Nov 11 | ![]() |
“Can machine learning survive the artificial intelligence revolution?” Francis Bach, Distinguished Visiting Faculty of the NSF-TRIPODS Algorithmic Foundations of Data Science Institute |
Nov 14 | ![]() |
“Digital biomarkers: Do they hold promise for better neuropsychiatric disease detection?” Reza Hosseini Ghomi, Director, DigiPsych Lab, and Chief Medical Officer for NeuroLex Laboratories |
Dec 4 | ![]() |
“Measuring and predicting biodiversity loss on a changing planet” Justin Kitzes, Assistant Professor of Biological Sciences at the University of Pittsburgh |
Jan 24 | ![]() |
“Documenting data science and documentation in data science: an ethnographic exploration” Stuart Geiger, Ethnographer at Berkeley Institute for Data Science; Distinguished Young Academic Data Scientist (DYADS) speaker |
Jan 31 | ![]() |
“Systems approach to cancer, infectious disease, the environment, and education” Nitin Baliga, Senior Vice President, Director, and Professor at the Institute for Systems Biology |
Feb 7 | ![]() |
“Quantum and quantum-inspired methods for non-convex optimization” Stephen Jordan, Senior Researcher, Microsoft |
Feb 28 | ![]() |
“Computer vision challenges in wildlife conservation” Dan Morris, Principal Researcher, Microsoft AI for Earth |
Apr 3 | ![]() |
“The battle of two cultures: statistics versus (?) data science” Bhramar Mukherjee, Ph.D., John D. Kalbfleisch Collegiate Professor of Biostatistics, University of Michigan |
May 15 | ![]() |
Title TBD. Alexander Franks, Assistant Professor, Department of Statistics and Applied Probability, University of California, Santa Barbara |
May 29 | ![]() |
Title TBD. Casey Fiesler, Assistant Professor, Department of Information Science, University of Colorado Boulder |
Spring and Summer 2018 Schedule
Wednesdays, 3:30 to 4:20 p.m., Physics/Astronomy Auditorium, room A118
Mar 28 | ![]() |
“Vulnerabilities in a sociotechnical society” danah boyd, Principal Researcher Microsoft Research |
Apr 11 | ![]() |
“Making data science training resources FAIR” John Darrell Van Horn, the USC Mark and Mary Stevens Neuroimaging and Informatics Institute and the Laboratory of Neuro Imaging |
Apr 25 | ![]() |
“Artificial unintelligence: How computers misunderstand the world” Meredith Broussard, Assistant Professor, Arthur L. Carter Journalism Institute of New York University |
May 23 | ![]() |
“Data science, AI, and big data analytics for global good and social impact” Uyi Stewart, Director of Global Development Strategy, Data, & Analytics |
May 30 | ![]() |
“Mining personal, dense, dynamic data clouds to enhance health and drive discovery” Nathan Price, Professor & Associate Director of the Institute for Systems Biology |
Jun 27 | ![]() |
“Can machines do more than learning?” Shou-De Lin, Professor, Computer Science and Information Engineering (CSIE), Graduate Institute of Networking and Multimedia, National Taiwan University |
Fall 2017 Schedule
Wednesdays, 3:30 to 4:20 p.m., Physics/Astronomy Auditorium, room A102
Oct 18 | ![]() |
“Is basketball scoring just a random walk?” Sid Redner, Professor Santa Fe Institute |
Oct 25 | ![]() |
“The statistical crisis in science” Andrew Gelman, Professor of Statistics and Political Science Columbia University |
Nov 29 | ![]() |
“Investigating shredded libraries and recovered books: Methods and observations” C. Titus Brown, Associate Professor UC Davis Genome Center |
Dec 6 | ![]() |
“Bayesian models for evidence-based medicine using PyMC3” Christopher Fonnesbeck, Assistant Professor of Biostatistics Vanderbilt University |
Previous 2017 Schedule
Jan 11 | ![]() |
“Assessing moderated effects of mobile health interventions on behavior” Susan Murphy University of Michigan |
Jan 18 | ![]() |
“Adventures in little data” Paul Ginsparg Cornell Unviersity |
Feb 13 | ![]() |
“Cross-modal semantic representation in the human brain” Fatma (Imamoglu) Deniz UC Berkeley Distinguished Young Academic Data Scientist (DYADS) speaker |
Feb 22 | ![]() |
“Mosaicking the earth every day” Kelsey Jordahl Planet Labs |
Apr 5 | ![]() |
“Pressures on principal investigators and their need of support: A consultation” Sir Philip Campbell Nature Publishing |
Apr 19 | ![]() |
“Human communication at the intersection of cognitive science and data science” Alexandra Paxton University of California, Berkeley Distinguished Young Academic Data Scientist (DYADS) speaker |
Apr 26 | ![]() |
“Uncertainty in biomolecular solvation” Nathan Baker PNNL |
Previous 2016 Schedule
Jan 6 | ![]() |
“Geometric graph-based methods for high dimensional data” Andrea L. Bertozzi Professor, Department of Mathematics, UCLA |
Jan 27 | ![]() |
“Inferring complex behavioral mechanisms in difficult places” Carter Butts Professor, Department of Sociology, UC Irvine |
Feb 24 | ![]() |
“Turning the virtual tables: Social media, opposition, and government responses in Russia and Venezuela” Joshua Tucker Professor, Department of Politics, NYU |
Feb 25 | ![]() |
“Machine learning on images: Combining passive microwave and optical data to estimate snow water equivalent in Afghanistan’s Hindu Kush” Jeff Dozier Professor, School of Environmental Science & Management, UC Santa Barbara |
Apr 20 | ![]() |
“Seeing networks change” Martin Krzywinski Genome Sciences Centre, BC Cancer Agency |
May 11 | ![]() |
“Co-evolution of tools and data in the microbiome space” Rob Knight Professor, Departments of Pediatrics and Computer Science and Engineering, UC San Diego |
Jun 1 | ![]() |
“Communicating science to the public through data visualizations and non-fiction narratives” Donna Cox Director of the Advanced Visualization Laboratory, NCSA |
Oct 5 | ![]() |
“The new ABCs of research: Achieving breakthrough collaborations” Ben Shneiderman Distinguished Professor, University of Maryland |
Nov 2 | ![]() |
“Computationally-enabled public policy using comprehensive data” Rob Axtell Krasnow Institute for Advanced Study, George Mason University |
Nov 16 | ![]() |
“Social research in the age of big data” Matthew J. Salganik Professor of Sociology, Princeton University |
Previous 2015 Schedule
Jan 14 | ![]() |
“Algorithms for analyzing on-line social network data” Jon Kleinberg Professor, Cornell University |
Feb 4 | ![]() |
“Data visualization at The New York Times” Amanda Cox New York Times |
Feb 4 | ![]() |
“DeepDive: A data system for macroscopic science” Christopher Ré Assistant Professor, Stanford University |
Feb 11 | ![]() |
“HealthScope++: A Data Scientist’s microscope…” Ankur Teredesai Professor, University of Washington, Tacoma |
Feb 18 | ![]() |
“Prediction in social science” Sendhil Mullainathan Professor, Harvard University |
Feb 25 | ![]() |
“Simplicity, complexity, and duplicity in visualizations” Martin Wattenberg Co-Director of the “Big Picture” Visualization Group, Google |
Mar 4 | ![]() |
“The emerging scholarly brain (with applications)” Michael Kurtz Harvard-Smithsonian Center for Astrophysics, Harvard University |
Mar 18 | ![]() |
“Dynamic data meets neuronal networks” Eli Shlizerman Assistant Professor, University of Washington |
Apr 22 | ![]() |
“The strange paths that information takes” Lada Adamic Computational Social Scientist, Facebook |
Apr 29 | ![]() |
“Why information grows: The evolution of order, from atoms to economies” César Hidalgo Director, Macro Connections Group, MIT Media Lab |
May 5 | ![]() |
“Professor, MIT Sloan School of Management” Sinan Aral |
Sep 30 | ![]() |
“Visualization analysis and design” Tamara Munzner Professor, University of British Columbia |
Dec 2 | ![]() |
“Semantic scholar: Re-defining literature search” Oren Etzioni CEO of the Allen Institute for Artificial Intelligence |
Dec 9 | ![]() |
“From big data to big questions” James A. Evans Associate Professor, Department of Sociology, University of Chicago |
Previous 2014 Schedule
Apr 23 | ![]() |
“Machine learning and econometrics” Hal Varian Chief Economist, Google |
Apr 16 | ![]() |
“People, data and analysis” Pat Hanrahan Professor, Stanford University & Co-Founder, Tableau Software |
May 21 | ![]() |
“What academia can learn from open source” Arfon Smith Scientist, GitHub & Co-Founder, Zooniverse |
Oct 8 | ![]() |
“Can cascades be predicted?” Jure Leskovec Assistant Professor, Stanford University |
Oct 15 | ![]() |
“Associate Professor, MIT” Cynthia Rudin Associate Professor, MIT |
Oct 30 | ![]() |
“Seeking simplicity in search user interfaces” Marti Hearst Professor, UC Berkeley |
Organization
This seminar is organized by the eScience Institute, iSchool DataLab, and CSE Interactive Data Lab. We are grateful for the support of the Gordon and Betty Moore Foundation, Alfred P. Sloan Foundation, National Science Foundation and Microsoft Research.
Email list
If you would like to be notified of upcoming speakers and announcements, you can join our email list. We will keep announcements to a minimum.
Contact
For questions about the seminar series, please email Sarah Stone at the eScience Institute.