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 A photo of Zan Armstrong “Data visualization for analysis & discovery”
Zan Armstrong, Data Visualization Designer and Engineer Google
Nov 11 A photo of Francis Bach “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 A photo of Reza Hosseini Ghomi “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 A photo of Justin Kitzes “Measuring and predicting biodiversity loss on a changing planet”
Justin Kitzes, Assistant Professor of Biological Sciences at the University of Pittsburgh
Jan 24 A photo of Stuart Geiger “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 A photo of Nitin Baliga “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 A photo of Stephen Jordan “Quantum and quantum-inspired methods for non-convex optimization”
Stephen Jordan, Senior Researcher, Microsoft
Feb 28 A photo of Dan NakMorris “Computer vision challenges in wildlife conservation Dan Morris, Principal Researcher, Microsoft AI for Earth
Apr 3 A photo of Bhramar Mukheree Title TBD Bhramar Mukherjee, Ph.D. John D. Kalbfleisch Collegiate Professor of Biostatistics, University of Michigan
May 29 A photo of Casey Fiesler 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 A photo of Danah Boyd “Vulnerabilities in a sociotechnical society”
danah boyd, Principal Researcher Microsoft Research
Apr 11 A photo of Jack Horn “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 A photo of Meredith Broussard “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 A photo of Nathan Price “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 A photo of Shou-De Lin “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 A photo of Titus Brown “Investigating shredded libraries and recovered books: Methods and observations”
C. Titus Brown, Associate Professor UC Davis Genome Center
Dec 6 A photo of Chris Fonnesbeck “Bayesian models for evidence-based medicine using PyMC3”
Christopher Fonnesbeck, Assistant Professor of Biostatistics Vanderbilt University

Previous 2017 Schedule

Jan 11 Susan Murphy “Assessing moderated effects of mobile health interventions on behavior”
Susan Murphy University of Michigan
Jan 18 Paul Ginsparg “Adventures in little data”
Paul Ginsparg Cornell Unviersity
Feb 13 Fatma (Imamoglu) Deniz “Cross-modal semantic representation in the human brain”
Fatma (Imamoglu) Deniz UC Berkeley Distinguished Young Academic Data Scientist (DYADS) speaker
Feb 22 Kelsey Jordahl “Mosaicking the earth every day”
Kelsey Jordahl Planet Labs
Apr 5 Sir Philip Campbell “Pressures on principal investigators and their need of support: A consultation”
Sir Philip Campbell Nature Publishing
Apr 19 Alexandra Paxton “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 Nathan Baker “Uncertainty in biomolecular solvation”
Nathan Baker PNNL

Previous 2016 Schedule

Jan 6 Andrea L. Bertozzi “Geometric graph-based methods for high dimensional data”
Andrea L. Bertozzi Professor, Department of Mathematics, UCLA
Jan 27  Carter Butts “Inferring complex behavioral mechanisms in difficult places”
Carter Butts Professor, Department of Sociology, UC Irvine
Feb 24  Joshua Tucker “Turning the virtual tables: Social media, opposition, and government responses in Russia and Venezuela”
Joshua Tucker Professor, Department of Politics, NYU
Feb 25  Jeff Dozier “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  Martin Krzywinski “Seeing networks change”
Martin Krzywinski Genome Sciences Centre, BC Cancer Agency
May 11  Rob Knight “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  Donna Cox “Communicating science to the public through data visualizations and non-fiction narratives”
Donna Cox Director of the Advanced Visualization Laboratory, NCSA
Oct 5  Ben Shneiderman “The new ABCs of research: Achieving breakthrough collaborations”
Ben Shneiderman Distinguished Professor, University of Maryland
Nov 2  Rob Axtell “Computationally-enabled public policy using comprehensive data”
Rob Axtell Krasnow Institute for Advanced Study, George Mason University
Nov 16  Matthew J. Salganik “Social research in the age of big data”
Matthew J. Salganik Professor of Sociology, Princeton University

Previous 2015 Schedule

Jan 14 Jon Kleinberg “Algorithms for analyzing on-line social network data”
Jon Kleinberg Professor, Cornell University
Feb 4 Amanda Cox “Data visualization at The New York Times”
Amanda Cox New York Times
Feb 4 Christopher Ré “DeepDive: A data system for macroscopic science”
Christopher Ré Assistant Professor, Stanford University
Feb 11 Ankur Teredesai “HealthScope++: A Data Scientist’s microscope…”
Ankur Teredesai Professor, University of Washington, Tacoma
Feb 18 Sendhil Mullainathan “Prediction in social science”
Sendhil Mullainathan Professor, Harvard University
Feb 25 Martin Wattenberg “Simplicity, complexity, and duplicity in visualizations”
Martin Wattenberg Co-Director of the “Big Picture” Visualization Group, Google
Mar 4 Michael Kurtz “The emerging scholarly brain (with applications)”
Michael Kurtz Harvard-Smithsonian Center for Astrophysics, Harvard University
Mar 18 Eli Shlizerman “Dynamic data meets neuronal networks”
Eli Shlizerman Assistant Professor, University of Washington
Apr 22 Lada Adamic “The strange paths that information takes”
Lada Adamic Computational Social Scientist, Facebook
Apr 29  César Hidalgo “Why information grows: The evolution of order, from atoms to economies”
César Hidalgo Director, Macro Connections Group, MIT Media Lab
May 5  Sinan Aral “Professor, MIT Sloan School of Management”
Sinan Aral
Sep 30  Tamara Munzner “Visualization analysis and design”
Tamara Munzner Professor, University of British Columbia
Dec 2  Oren Etzioni “Semantic scholar: Re-defining literature search”
Oren Etzioni CEO of the Allen Institute for Artificial Intelligence
Dec 9  James A. Evans “From big data to big questions”
James A. Evans Associate Professor, Department of Sociology, University of Chicago

Previous 2014 Schedule

Apr 23 Hal Varian “Machine learning and econometrics”
Hal Varian Chief Economist, Google
Apr 16 Pat Hanrahan “People, data and analysis”
Pat Hanrahan Professor, Stanford University & Co-Founder, Tableau Software
May 21 Arfon Smith “What academia can learn from open source”
Arfon Smith Scientist, GitHub & Co-Founder, Zooniverse
Oct 8 Jure Leskovec “Can cascades be predicted?”
Jure Leskovec Assistant Professor, Stanford University
Oct 15 Cynthia Rudin “Associate Professor, MIT”
Cynthia Rudin Associate Professor, MIT
Oct 30 Marti Hearst “Seeking simplicity in search user interfaces”
Marti Hearst Professor, UC Berkeley

Organization

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 and Micaela Parker at the eScience Institute.

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