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
Feb. 7 A photo of Stephen Jordan “Measuring and predicting biodiversity loss on a changing planet”
Stephen Jordan, Senior Researcher, Microsoft

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 (hide)

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 (hide)

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 (hide)

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 (hide)

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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