For academic year 2017-2018: I'm in Seattle for the year at Adobe and the University of Washington. I might be slower to respond to emails. If you're a potential PhD student in either the School of Information or in Computer Science applying this year, I will likely be looking for students for the Fall of 2018.
I am an Associate Professor of Information and Computer Science at the University of Michigan. My work is at the boundary of HCI and Data Mining. Specific research projects range from modeling behaviors at a very large-scale (search, social networks evolution, learning, meme and rumor spread, programming, text production and consumption, etc.) and applying those models to constructing better HCI systems. This is primarily at Internet scales and it gives me an excuse to work on lots of different things I like... data/text mining, visualizations, social network analysis, etc.
Before grad school I was a researcher at HP Labs' Information Dynamics Group and at Xerox PARC. (complete CV). I can be reached at eytanadar-at-yahoo-dot-com. Among other things, I am associated with the MISC (HCI-focused) and MIDAS groups. I am one of the founders of ICWSM (which I've chaired multiple times) and have also been Co-General Chair for WSDM. Work in my group is sponsored by the NSF, IARPA, Adobe, Microsoft, Facebook, Google, and Yahoo.
I work with some awesome students including: Srayan Datta, Licia He, Xin Rong, and Hari Subramonyam. And some that recently graduated: Matt Burgess (PhD, now at Google), Jessica Hullman (Assistant Professor at UW), and Gierad Laput (PhD at CMU)
I have a blog (which I post to pretty infrequently).
Some demos/videos of other recent work for you to try: PersaLog (news content personalization); Txt2Vis (including the Contextifier and NewsViews projects for generating visualizations automatically); CodeMend (natural language code assistant), DataTone (natural language-driven vis construction); PixelTone (voice and gesture for photo editing); TappCloud (Photoshop in the cloud); Zoetrope (querying the ephemeral Web); GUESS, the Graph Exploration System; Other videos on YouTube (click on "watch in high quality" for a better view); and More...
» "Learning Word Relatedness over Time"
Guy D. Rosin, Kira Radinsky and Eytan Adar, to appear, EMNLP'17 » "Estimating the Impact of Systems Engineers on Systems Design Processes"
Arianne X. Collopy, Melissa T. Greene, Eytan Adar, Panos Y. Papalambros, to appear, ICED'17 » "Leveraging Semantic Facets for Adaptive Ranking of Social Comments"
Elaheh Momeni, Reza Rawassizadeh, Eytan Adar, to appear, ICMR'17 » "PersaLog: Personalization of News Article Content"
Eytan Adar, Carolyn Gearig, Ayshwarya Balasubramanian, Jessica Hullman, to appear, CHI'17 » "SimpleScience: Lexical Simplification of Scientific Terminology"
Yea-Seul Kim, Jessica Hullman, Matthew Burgess, and Eytan Adar, to appear, EMNLP'16 » "CodeMend: Assisting Interactive Programming with Bimodal Embedding"
Xin Rong, Shiyan Yan, Stephen Oney, Mira Dontcheva, and Eytan Adar, to appear, UIST'16 » "VizItCards: A Card-Based Toolkit for Infovis Design Education"
Shiqing He and Eytan Adar, to appear, IEEE Vis'16 » "Prototype Synthesis for Model Laws"
Matthew Burgess, Eugenia Giraudy and Eytan Adar, to appear, ACL 2016 » "Visual Tools for Debugging Neural Language Models"
Xin Rong and Eytan Adar, ICML 2016 Workshop on Visualization for Deep Learning (Best Paper Award) » "Engineering Information Disclosure: Norm Shaping Designs"
Daphne Chang, Erin L. Krupka, Eytan Adar, Alessandro Acquisti, CHI'16 » "Link-Prediction Enhanced Consensus Clustering for Complex Networks"
Matthew Burgess, Eytan Adar, and Michael Cafarella, PLoS ONE 11(5): e0153384, May 20, 2016. (also: arXiv:1506.01461) » "Information Evolution in Social Networks"
Lada A. Adamic, Thomas M. Lento, Eytan Adar, Pauline C. Ng, WSDM'16 (nominated for a best paper award) » "EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion"
Xin Rong, Zhe Chen, Qiaozhu Mei, Eytan Adar, WSDM'16 » "Hypothetical Outcome Plots Outperform Error Bars and Violin Plots for Inferences about Reliability of Variable Ordering"
Jessica Hullman, Paul Resnick and Eytan Adar, PLoS ONE, 10(11) » "The Two Cultures and Big Data Research"
Eytan Adar, I/S: A Journal of Law and Policy for the Information Society 10(3), Winter, 2015 » "DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization"
Tong Gao, Mira Dontcheva, Eytan Adar, Zhicheng Liu, Karrie Karahalios, UIST'15 » "Vis, The Next Generation: Teaching Across the Researcher-Practitioner Gap"
Marti A. Hearst (organizer), Eytan Adar (organizer), Robert Kosara, Tamara Munzner, Jon Schwabish, Ben Shneiderman, panel at Vis'15 » "Designing for Personalized Article Content"
Carolyn Gearig, Eytan Adar and Jessica Hullman, Computation + Journalism (C+J), 2015 » "DeScipher: A Text Simplification Tool for Science Journalism "
Yea Seul Kim, Jessica Hullman and Eytan Adar, Computation + Journalism (C+J), 2015 » "Building a Scientific Concept Hierarchy Database (SCHBase)"
Eytan Adar and Srayan Datta, ACL'15 » "Audience Analysis for Competing Memes in Social Media"
Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, and Paul Resnick, ICWSM'15 » "Evaluating Approaches to Crowdsourced Visual Analytics"
Jessica Hullman, Erin Krupka, and Eytan Adar, to appear, Collective Intelligence '15 » "DiagramFlyer: A Search Engine for Data-Driven Diagrams"
Zhe Chen, Michael Cafarella, and Eytan Adar, demo at WWW'15 » "Human-Computer Interaction and Collective Intelligence"
Jeffrey P. Bigham, Michael S. Bernstein, and Eytan Adar to appear as chapter of Collective Intelligence Handbook, to appear, 2015 » "Adaptive Faceted Ranking for Social Media Comments "
Elaheh Momeni, Simon Braendle, and Eytan Adar, ECIR'15 » "What Social Media Data We Are Missing and How to Get It"
Paul Resnick, Eytan Adar, and Cliff Lampe, The ANNALS of the American Academy of Political and Social Science, May 2015 » "Content, Context, and Critique: Commenting on a Data Visualization Blog "
Jessica Hullman, Nicholas Diakopoulos, Elaheh Momeni, Eytan Adar, CSCW'15 » "CommandSpace: Modeling the relationships between tasks, descriptions and features"
Eytan Adar, Mira Dontcheva, Gierad Laput, UIST'14 » "CiteSight: Supporting Contextual Citation Recommendation Using Differential Search"
Avishay Livne, Vivek Gokuladas, Jaime Teevan, Susan T. Dumais, Eytan Adar, SIGIR'14 » "NewsViews: An Automated Pipeline for Creating Custom Geovisualizations for News"
Tong Gao, Jessica Hullman, Eytan Adar, Brent Hecht, and Nicholas Diakopoulos, CHI'14, Apr 27-May 1, 2014, Toronto. » "A Deeper Understanding of Sequence in Narrative Visualization"
Jessica Hullman, Steven Drucker, Nathalie Henry Riche, Bongshin Lee, Danyel Fisher, and Eytan Adar, IEEE InfoVis'13, Oct 13-18, Atlanta, GA. » "Leveraging Noisy Lists for Social Feed Ranking"
Matthew Burgess, Alessandra Mazzia, Eytan Adar, Michael Cafarella, ICWSM'13, July 8-10, 2013, Boston, MA. » "Benevolent Deception in Human Computer Interaction"
Eytan Adar, Desney Tan and Jaime Teevan, CHI'13, Apr. 27-May 2, 2013, Paris, France (Honorable Mention paper). » "Contextifier: Automatic Generation of Annotated Stock Visualizations"
Jessica Hullman, Nicholas Diakopoulos, and Eytan Adar, CHI'13, Apr. 27-May 2, 2013, Paris, France. » "PixelTone: A Multimodal Interface for Image Editing"
Gierad Laput, Mira Dontcheva, Gregg Wilensky, Walter Chang, Aseem Agarwala, Jason Linder, and Eytan Adar, CHI'13, Apr. 27-May 2, 2013, Paris, France. » "Predicting Citation Counts Using Text and Graph Mining"
Avishay Livne, Eytan Adar, Jaime Teevan, and Susan Dumais, to appear, iConference 2013 Workshop on Computational Scientometrics: Theory and Applications » "Tutorial-based Interfaces for Cloud-enabled Applications"
Gierad Laput, Eytan Adar, Mira Dontcheva, and Wilmot Li, UIST'12. » "Personalized Online Education--A Crowdsourcing Challenge "
Daniel S. Weld, Eytan Adar, Lydia Chilton, Raphael Hoffmann, Eric Horvitz, Mitchell Koch, James Landay, Christopher H. Lin, Mausam, HCOMP '12, Toronto, Canada, July 23, 2012 » "The PViz Comprehension Tool for Social Network Privacy Settings"
Alessandra Mazzia, Kristen LeFevre, Eytan Adar, SOUPS'12, Washington DC, July 11-13, 2012. » "Searching for Statistical Diagrams"
Shirley Zhe Chen, Michael J. Cafarella, and Eytan Adar, Frontiers of Engineering, National Academy of Engineering, Washington DC, 2012 » "Benefiting InfoVis with Visual Difficulties"
Jessica Hullman, Eytan Adar, and Priti Shah, InfoVis'11, Providence, RI, Oct 23-28, 2011 (Honorable Mention paper) » "The Party is Over Here: Structure and Content in the 2010 Election"
Avishay Livne, Matthew P. Simmons, Eytan Adar, Lada A. Adamic, ICWSM'11, Barcelona, Spain, July 17-21, 2011. » "Memes Online: Extracted, Subtracted, Injected, and Recollected"
Matthew P. Simmons, Lada A. Adamic, Eytan Adar, ICWSM'11, Barcelona, Spain, July 17-21, 2011. » "The Impact of Social Information on Visual Judgments"
Jessica Hullman, Eytan Adar, and Priti Shah, CHI'11, Vancouver, Canada, May 7-11, 2011. » "Why I Hate Mechanical Turk Research (and Workshops)"
Eytan Adar, CHI'11 Workshop on Crowdsourcing and Human Computation, Vancouver, Canada, May 7, 2011. » "A Tool for Policy Comprehension"
Alessandra Mazzia, Kristen LeFevre, Eytan Adar, CHI'11 Workshop on Networked Privacy, Vancouver, Canada, May 7, 2011. » "The temporal dimension in end user programming for the Web"
Eytan Adar, Mira Dontcheva, James Fogarty, Daniel S. Weld, Chapter in No Code Required, Morgan Kaufmann, 2010
» "Resonance on the Web: Web Dynamics and Revisitation Patterns"
Eytan Adar, Mira Dontcheva, James Fogarty, Daniel S. Weld, Workshop on End User Programming for the Web, CHI 2009, Boston, MA, April 4-9,2009 » "Information Arbitrage in Multi-Lingual Wikipedia"
Eytan Adar, Michael Skinner, Dan Weld, WSDM'09, Barcelona, Spain, Feb. 9-12, 2009. » "The Web Changes Everything: Understanding the Dynamics of Web Content"
Eytan Adar, Jaime Teevan, Susan Dumais, Jonathan Elsas, WSDM'09, Barcelona, Spain, Feb. 9-12, 2009. (Best Student Paper). » "Zoetrope: Interacting with the Ephemeral Web"
Eytan Adar, Mira Dontcheva, James Fogarty, Daniel S. Weld, UIST'08, Monterey, CA, October 19-22, 2008.
» "Intelligence in Wikipedia"
» "Large Scale Analysis of Web Revisitation Patterns"
» "Managing Uncertainty in Social Networks"
» "Information Re-Retrieval: Repeat Queries in Yahoo's Logs"
» "User 4XXXXX9: Anonymizing Query Logs"
» "Why We Search: Visualizing and Predicting User Behavior"
» "SoftGUESS: Visualization and Exploration of Code Clones in Context"
» Sara Dubowsky Adar