Jaime Teevan, Ph.D.
teevan@microsoft.com
Blog, Twitter: @jteevan
One Microsoft Way
Redmond, WA 98052
(425) 421-9299
Home * About * Publications
  Organized by Type * Subject * Date

INDEX:

  Books, Book Chapters, Editorships, Refereed Journal Articles, Refereed Conference Papers, Refereed Posters, Technical Reports and Invited Articles, Patents, Commencement Addresses, Keynotes, Invited Talks, Panels, Workshop Organizer, Workshop Participant, Courses, Tutorials, and Guest Lectures, Podcast and Broadcasts, Print Media, Theses, Doctoral Consortia, Abstracts

BOOKS:

  Meredith Ringel Morris and Jaime Teevan. Collaborative Web Search: Who, What, Where, When, and Why. San Rafael, CA: Morgan & Claypool Series on Information Concepts, Retrieval, and Services (Ed. Gary Marchionini), 2010. [pdf]
 
  William Jones and Jaime Teevan (Eds.). Personal Information Management. Seattle: University of Washington Press, 2007. [flier, order]

BOOK CHAPTERS:

  Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, and Jaime Teevan. Understanding User Behavior through Log Data and Analysis. Judith S. Olson and Wendy Kellogg (Eds.), New York: Springer, 2014. [order]
 
  Jaime Teevan and Susan Dumais. Web Retrieval, Ranking and Personalization. Ian Ruthven and Diane Kelly (Eds.), London: Facet Publishing, 2011. [order]
 
  Diane Kelly and Jaime Teevan. Understanding What Works: Evaluating PIM Tools. William Jones and Jaime Teevan (Eds.), Seattle: University of Washington Press, 2007. [order]
 
  Jaime Teevan, Robert Capra, and Manuel A. Perez-Quinones. How People Find Personal Information. William Jones and Jaime Teevan (Eds.), Seattle: University of Washington Press, 2007. [order]

EDITORSHIPS:

  Jaime Teevan, William Jones, and Benjamin B. Bederson (Eds.). Special Issue on Personal Information Management. Communications of the ACM (CACM), 49(1), January 2006.

REFEREED JOURNAL ARTICLES:

  Kiran Tomlinson, Mengting Wan, Cao Lu, Brent Hecht, Jaime Teevan, and Longqi Yang. Targeted Training for Multi-Organization Recommendation. ACM Transactions on Recommender Systems (TORS), June 2023. [pdf]
 
  Jaime Teevan. Let's Redefine "Productivity" for the Hybrid Era. Harvard Business Review (HBR), 2021. [html]
 
  Longqi Yang, David Holtz, Sonia Jaffe, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joyce, Neha Shah, Kevin Sherman, Brent Hecht, and Jaime Teevan. The Effects of Remote Work on Collaboration Among Information Workers. Nature Human Behaviour, 2021. [pdf]
 
  Mona Haraty, Helen Wang, Shamsi Iqbal, and Jaime Teevan. Design and In-Situ Evaluation of a Mixed-Initiative Approach to Information Organization. Journal of the Association for Information Science and Technology (JASIST), 68(9), 2017. [pdf]
 
  Jaime Teevan. The Future of Microwork. XRDS, 23(2), Winter 2016. [pdf]
 
  Yubin Kim, Kevyn Collins-Thompson, and Jaime Teevan. Using the Crowd to Improve Search Result Ranking and the Search Experience. ACM Transactions on Intelligent Systems and Technology (TIST), 7(4):50, 2016. [pdf]
 
  Morgan Walker, Laura Thornton, Munmun De Choudhury, Jaime Teevan, Cynthia M. Bulik, Cheri A. Levinson, and Stephanie Zerwas. Facebook Use and Disordered Eating in College-Aged Women. Journal of Adolescent Health (JAH), 57(2), 2015. [abstract]
 
  Jaime Teevan, Kevyn Collins-Thompson, Ryen White, and Susan Dumais. Viewpoint: Slow Search. Communications of the ACM (CACM) (CACM), 57(8), August 2014. [pdf]
 
  Jaime Teevan, Meredith Ringel Morris, and Shiri Azenkot. Supporting Interpersonal Interaction during Collaborative Mobile Search. IEEE Computer special issue on Collaborative Information Seeking, 47(3), 2014.
 
  Kira Radinsky, Krysta Svore, Susan Dumais, Milad Shokouhi, Jaime Teevan, and Eric Horvitz. Behavioral Dynamics on the Web: Learning, Modeling and Prediction. ACM Transactions on Information Systems (TOIS), 31(3), 2013. [pdf, Notable Computing Article of 2013] (Notable Computing Article)
 
  Jaime Teevan, Susan Dumais, and Eric Horvitz. Potential for Personalization. ACM Transactions on Computer-Human Interaction special issue on Data Mining for Understanding User Needs (TOCHI), 17(1), March 2010. [pdf, pdf, slides ppt] (Best Search Marketing Paper)
 
  Jaime Teevan. How People Recall, Recognize and Reuse Search Results. ACM Transactions on Information Systems special issue on Keeping, Refinding, and Sharing Personal Information (TOIS), 26(4), September 2008. [pdf, pdf]
 
  Edward Cutrell, Susan Dumais, and Jaime Teevan. Searching to Eliminate Personal Information Management. Communications of the ACM special Issue on Personal Information Management (CACM), 49(1), January 2006. [pdf]
 
  Diane Kelly and Jaime Teevan. Implicit Feedback for Inferring User Preference: A Bibliography. SIGIR Forum (SIGIR Forum), 37(2), 2003. [pdf]

REFEREED CONFERENCE PAPERS:

  Jing Ma, Mengting Wan, Longqi Yang, Jundong Li, Brent Hecht, and Jaime Teevan. Learning Causal Effects on Hypergraphs. ACM Conference on Knowledge Discovery and Data Mining (KDD 2022), Washington, D.C., August 2022. [html] (Best Paper)
 
  Harmanpreet Kaur, Daniel McDuff, Alex C. Williams, Jaime Teevan, and Shamsi Iqbal. "I Didn't Know I Looked Angry": Characterizing Observed Emotion and Reported Affect at Work. ACM Conference on Human Factors in Computing Systems (CHI 2022), New Orleans, LA, May 2022. [html]
 
  Jyun-Yu Jiang, Chia-Jung Lee, Longqi Yang, Bahareh Sarrafzadeh, Brent Hecht, and Jaime Teevan. Learning to Represent Human Motives for Goal-Directed Web Browsing. In Proceedings of the ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, The Netherlands, September 2021. [pdf]
 
  Amanda Swearngin, Shamsi Iqbal, Victor Poznanski, Mark Encarnacion, Paul N. Bennett, and Jaime Teevan. Scraps: Enabling Contextual Mobile Capture, Contextualization, and Use of Document Resources. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2021), Virtual, May 2021. [pdf] (Best Paper Honorable Mention)
 
  Hancheng Cao, Chia-Jung Lee, Shamsi Iqbal, Mary Czerwinski, Priscilla N.Y. Wong, Sean Rintel, Brent Hecht, Jaime Teevan, and Longqi Yang. Large Scale Analysis of Multitasking Behavior During Remote Meetings. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2021), Virtual, May 2021. [pdf] (Best Paper Honorable Mention)
 
  Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, and Shamsi Iqbal. Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2020), Honolulu, HI, April 2020. [pdf]
 
  Alex C. Williams, Harmanpreet Kaur, Shamsi Iqbal, Ryen White, Jaime Teevan, and Adam Fourney. Mercury: Empowering Programmers' Mobile Work Practices with Microproductivity. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2019), New Orleans, LA, October 2019. [pdf]
 
  Nathan Hahn, Shamsi Iqbal, and Jaime Teevan. Casual Microtasking: Embedding Microtasks in Facebook. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, Scotland, May 2019. [pdf]
 
  Nikolas Martelaro, Shamsi Iqbal, and Jaime Teevan. An Exploration of Speech-Based Productivity Support in the Car. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, Scotland, May 2019. [pdf]
 
  Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi Iqbal, and Jaime Teevan. Sketching NLP: A Case Study of Exploring the Right Things to Design with Language Intelligence. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, Scotland, May 2019. [pdf]
 
  Saleema Amershi, Dan Weld, Mihaela Vorvoreanu, Adam Fourney, Besamira Nushi, Penny Collisson, Jina Suh, Shamsi Iqbal, Paul N. Bennett, Kori Inkpen, Jaime Teevan, Ruth Kikin-Gil, and Eric Horvitz. Guidelines for Human-AI Interaction. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2019), Glasgow, Scotland, May 2019. [pdf, appendix]
 
  Harmanpreet Kaur, Alex Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, and Jaime Teevan. Creating Better Action Plans for Writing Tasks via Vocabulary-Based Planning. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2018), Jersey City, New Jersey, November 2018. [pdf]
 
  Shamsi Iqbal, Jaime Teevan, Dan Liebling, and Anne Loomis Thompson. Multitasking with Play Write, a Mobile Microproductivity Writing Tool. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2018), Berlin, Germany, October 2018. [pdf, watch]
 
  Alex C. Williams, Harmanpreet Kaur, Gloria Mark, Anne Loomis Thompson, Shamsi Iqbal, and Jaime Teevan. Supporting Workplace Detachment and Reattachment with Conversational Intelligence. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, April 2018. [pdf]
 
  Harmanpreet Kaur, Mitchell Gordon, Yiwei Yang, Jeffrey P. Bigham, Jaime Teevan, Ece Kamar, and Walter Lasecki. CrowdMask: Using Crowds to Preserve Privacy in Crowd-Powered Systems via Progressive Filtering. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada, October 2017. [pdf]
 
  Jaime Teevan and Lisa Yu. Bringing the Wisdom of the Crowd to an Individual by Having the Individual Assume Different Roles. In Proceedings of the ACM Creativity and Cognition Conference (C&C 2017), Singapore, June 2017. [pdf]
 
  Justin Cranshaw, Emad Elwany, Todd Newman, Rafal Kocielnik, Bowen Yu, Sandeep Soni, Jaime Teevan, and Andres Monroy-Hernandez. Calendar.help: Designing a Workflow-Based Scheduling Agent with Humans in the Loop. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2017), Denver, CO, May 2017. [pdf]
 
  Niloufar Salehi, Jaime Teevan, Shamsi Iqbal, and Ece Kamar. Communicating Context to the Crowd for Complex Writing Tasks. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2017), Portland, OR, February 2017. [pdf] (Best Paper Honorable Mention)
 
  Jin Young Kim, Jaime Teevan, and Nick Craswell. Explicit In-Situ User Feedback for Web Search Results. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2016), Pisa, Italy, July 2016 (Short Paper). [pdf]
 
  Jaime Teevan, Shamsi Iqbal, and Curtis von Veh. Supporting Collaborative Writing with Microtasks. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016. [pdf, slides: ppt]
 
  Carrie Cai, Shamsi Iqbal, and Jaime Teevan. Chain Reactions: The Impact of Order on Microtask Chains. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016. [pdf] (Best Paper Honorable Mention)
 
  Michael Nebling, Alexandra To, Anhong Guo, Adrian A. de Freitas, Jaime Teevan, Steven Dow, and Jeffrey P. Bigham. WearWrite: Crowd-Assisted Writing from Smartwatches. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016. [pdf]
 
  Elena Agapie, Jaime Teevan, and Andres Monroy-Hernandez. Crowdsourcing in the Field: A Case Study Using Local Crowds for Event Reporting. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2015), San Diego, CA, November 2015. [pdf] (Best Paper)
 
  Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, and Adam Kalai. OMG UR Funny! Computer-Aided Humor with an Application to Chat. International Conference on Computational Creativity (ICCC 2015), Park City, UT, June 2015. [pdf]
 
  Justin Cheng, Jaime Teevan, and Michael Bernstein. Measuring Crowdsourcing Effort with Error-Time Curves. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea, April 2015. [pdf] (Best Paper Honorable Mention)
 
  Justin Cheng, Jaime Teevan, Shamsi Iqbal, and Michael Bernstein. Break It Down: A Comparison of Macro- and Microtasks. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea, April 2015. [pdf] (Best Paper Honorable Mention)
 
  William Jones, Robert Capra, Anne Diekema, Jaime Teevan, Manuel Perez-Quinones, Jesse David Dinneen, and Bradley Hemminger. "For Telling" the Present: Using the Delphi Method to Understand Personal Information Management Practices. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea, April 2015. [pdf]
 
  Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, and Adam Kalai. A Crowd of Your Own: Crowdsourcing for On-Demand Personalization. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2014), Pittsburgh, PA, November 2014. [pdf] (Notable Paper)
 
  Avishay Livne, Vivek Gokuladas, Jaime Teevan, Susan Dumais, and Eytan Adar. CiteSight: Supporting Contextual Citation Recommendation Using Differential Search. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia, July 2014. [pdf, ppt]
 
  Chia-Jung Lee, Jaime Teevan, and Sebastian de la Chica. Characterizing Multi-Click Behavior and the Risks and Opportunities of Changing Results during Use. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia, July 2014. [pdf]
 
  Anne Oeldorf-Hirsch, Brent Hecht, Meredith Ringel Morris, Jaime Teevan, and Darren Gergle. To Search or to Ask: The Routing of Information Needs Between Traditional Search Engines and Social Networks. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2014), Baltimore, MD, February 2014. [pdf]
 
  Carsten Eickhoff, Jaime Teevan, Ryen White, and Susan Dumais. Lessons from the Journey: A Query Log Analysis of Within-Session Learning. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2014), New York, NY, February 2014. [pdf]
 
  Walter Lasecki, Jaime Teevan, and Ece Kamar. Information Extraction and Manipulation Threats in Crowd-Powered Systems. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2014), Baltimore, MD, February 2014. [pdf]
 
  Jaime Teevan, Kevyn Collins-Thompson, Ryen White, Susan Dumais, and Yubin Kim. Slow Search: Information Retrieval without Time Constraints. In Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval (HCIR 2013), Vancouver, Canada, October 2013. [pdf, slides: ppt]
 
  Jin Young Kim, Mark Cramer, Jaime Teevan, and Dmitry Lagun. Understanding How People Interact with Web Search Results that Change in Real-Time Using Implicit Feedback. In Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM 2013), Burlingame, CA, October 2013. [pdf]
 
  Matthias Boehmer, T. Scott Saponas, and Jaime Teevan. Smartphone Use Does Not Have to Be Rude: Making Phones a Collaborative Presence in Meetings. In Proceedings of the Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2013), Munich, Germany, August 2013. [pdf]
 
  Sanjay Kairam, Meredith Ringel Morris, Jaime Teevan, Daniel Liebling, and Susan Dumais. Towards Supporting Search over Trending Events with Social Media. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2013), Boston, MA, July 2013. [pdf] (Best Paper Honorable Mention)
 
  Jin-Woo Jeong, Meredith Ringel Morris, Jaime Teevan, and Daniel Liebling. A Crowd-Powered Socially Embedded Search Engine. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2013), Boston, MA, July 2013. [pdf]
 
  Eytan Adar, Desney S. Tan, and Jaime Teevan. Benevolent Deception in Human Computer Interaction. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013), Paris, France, May 2013. [pdf] (Best Paper Honorable Mention)
 
  Jaime Teevan and Alexander Hehmeyer. Understanding How the Projection of Availability State Impacts the Reception of Incoming Communication. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2013), San Antonio, TX, February 2013. [pdf, slides: ppt] (Best Paper Honorable Mention)
 
  Jaime Teevan, Daniel Liebling, Ann Paradiso, Carlos Garcia Jurado Suarez, Curtis von Veh, and Darren Gehring. Displaying Mobile Feedback during a Presentation. In Proceedings of the Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2012), San Francisco, CA, September 2012. [pdf]
 
  Brent Hecht, Jaime Teevan, Meredith Ringel Morris, and Daniel Liebling. SearchBuddies: Bringing Search Engines into the Conversation. International AAAI Conference on Weblogs and Social Media (ICWSM 2012), Dublin, Ireland, June 2012. [pdf, watch]
 
  Michael Bernstein, Jaime Teevan, Susan Dumais, Daniel Libeling, and Eric Horvitz. Direct Answers for Search Queries in the Long Tail. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2012), Austin, TX, May 2012. [pdf] (Best Paper Honorable Mention)
 
  Scott Bateman, Jaime Teevan, and Ryen White. The Search Dashboard: Changing How People Search Using a Reflective Interface. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2012), Austin, TX, May 2012. [pdf]
 
  Shahriyar Amini, A.J. Bernheim Brush, John Krumm, Jaime Teevan, and Amy Karlson. Trajectory-Aware Mobile Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2012), Austin, TX, May 2012. [pdf]
 
  Kira Radinsky, Krysta M. Svore, Susan Dumais, Jaime Teevan, Alex Bocharov, and Eric Horvitz. Modeling and Predicting Behavioral Dynamics on the Web. In Proceedings of the International World Wide Web Conference (WWW 2012), Lyon, France, April 2012. [pdf]
 
  Jaime Teevan, Amy Karlson, Shahriyar Amini, A.J. Bernheim Brush, and John Krumm. Understanding the Importance of Location, Time, and People in Mobile Local Search Behavior. In Proceedings of the Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2011), Stockholm, Sweden, August 2011. [pdf]
 
  Alex Kotov, Paul Bennett, Ryen White, Susan Dumais, and Jaime Teevan. Modeling and Analysis of Cross-Session Search Tasks. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2011), Beijing, China, July 2011. [pdf, pdf]
 
  Jaime Teevan, Meredith Ringel Morris, and Katrina Panovich. Factors Affecting Response Quantity, Quality and Speed in Questions Asked via Online Social Networks. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain, July 2011. [pdf, poster]
 
  Jiang Yang, Meredith Ringel Morris, Jaime Teevan, Lada Adamic, and Mark S. Ackerman. Culture Matters: A Survey Study of Social Q&A Behavior. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2011), Barcelona, Spain, July 2011. [pdf, poster]
 
  Lydia Chilton and Jaime Teevan. Addressing Information Needs Directly in the Search Result Page. In Proceedings of the International World Wide Web Conference (WWW 2011), Hyderabad, India, March 2011. [pdf, pdf]
 
  Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, and Susan Dumais. Understanding Temporal Query Dynamics. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2011), Hong Kong, China, February 2011. [pdf, pdf, poster]
 
  Jaime Teevan, Daniel Liebling, and Gayathri Ravichandran Geetha. Understanding and Predicting Personal Navigation. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2011), Hong Kong, China, February 2011. [pdf, pdf, slides, poster, video
 
  Jaime Teevan, Daniel Ramage, and Meredith Ringel Morris. #TwitterSearch: A Comparison of Microblog Search and Web Search. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2011), Hong Kong, China, February 2011. [pdf, pdf, slides, poster, video
 
  Meredith Ringel Morris, Jaime Teevan, and Katrina Panovich. A Comparison of Information Seeking Using Search Engines and Social Networks. In Proceedings of the International AAAI Conference on Weblogs and Social Media (ICWSM 2010), Washington, D.C., May 2010. [pdf]
 
  Jaime Teevan, Susan Dumais, and Daniel Liebling. A Longitudinal Study of How Highlighting Web Content Change Affects People's Web Interactions. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2010), Atlanta, GA, April 2010. [pdf, local pdf, slides] (Best Paper)
 
  Meredith Ringel Morris, Jaime Teevan, and Katrina Panovich. What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2010), Atlanta, GA, April 2010. [pdf, local pdf, slides]
 
  Sarah K. Tyler and Jaime Teevan. Large Scale Query Log Analysis of Re-Finding. ACM International Conference on Web Search and Data Mining (WSDM 2010), New York, NY, February 2010. [pdf, local pdf] (Best Paper Nominee)
 
  Jaime Teevan, Susan Dumais, Daniel Liebling, and Richard Hughes. Changing How People View Changes on the Web. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2009), Victoria, Canada, October 2009. [pdf, local pdf, slides]
 
  Paul Andre, m. c. schraefel, Jaime Teevan, and Susan Dumais. Discovery is Never by Chance: Designing for (Un)Serendipity. In Proceedings of the ACM Creativity and Cognition Conference (C&C 2009), Berkeley, CA, October 2009. [pdf, local pdf]
 
  Jaime Teevan, Edward Cutrell, Danyel Fisher, Steven M. Drucker, Gonzalo Ramos, Paul Andre, and Chang Hu. Visual Snippets: Summarizing Web Pages for Search and Revisitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, April 2009. [pdf, pdf, slides]
 
  Paul Andre, Jaime Teevan, and Susan Dumais. From X-Rays to Silly Putty via Uranus: Serendipity and its Role in Web Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, April 2009. [pdf, pdf]
 
  Eytan Adar, Jaime Teevan, and Susan Dumais. Resonance on the Web: Web Dynamics and Revisitation Patterns. ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, April 2009. [pdf, pdf]
 
  Eytan Adar, Jaime Teevan, Susan Dumais, and Jonathan L. Elsas. The Web Changes Everything: Understanding the Dynamics of Web Content. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2009), Barcelona, Spain, February 2009. [pdf, local pdf] (Best Student Paper)
 
  Jaime Teevan, Meredith Ringel Morris, and Steve Bush. Discovering and Using Groups to Improve Personalized Search. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2009), Barcelona, Spain, February 2009. [pdf, local pdf, slides, video]
 
  Ryen White, Susan Dumais, and Jaime Teevan. Characterizing the Influence of Domain Expertise on Web Search Behavior. In Proceedings of the ACM International Conference on Web Search and Data Mining (WSDM 2009), Barcelona, Spain, February 2009. [pdf]
 
  Meredith Ringel Morris, Jaime Teevan, and Steve Bush. Enhancing Collaborative Web Search with Personalization: Groupization, Smart Splitting, and Group Hit-Highlighting. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2008), San Diego, CA, November 2008. [pdf]
 
  Jaime Teevan, Susan Dumais, and Daniel Liebling. To Personalize or Not to Personalize: Modeling Queries with Variation in User Intent. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore, July 2008. [pdf, original (with erroroneous Fig. 4) pdf, slides: ppt]
 
  Eytan Adar, Jaime Teevan, and Susan Dumais. Large Scale Analysis of Web Revisitation Patterns. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2008), Florence, Italy, April 2008. [pdf] (Best Paper)
 
  Jaime Teevan. "Where'd it Go?": How People Ask After Lost Web Information. In Proceedings of the Annual Meeting of the American Society for Information Science & Technology (ASIST 2007), Milwaukee, WI, October 2007. [pdf, slides: ppt]
 
  Jaime Teevan. The Re:Search Engine: Simultaneous Support for Finding and Re-Finding. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2007), Newport, RI, October 2007. [pdf, slides: ppt]
 
  Jaime Teevan, Eytan Adar, Rosie Jones, and Michael Potts. Information Re-Retrieval: Repeat Queries in Yahoo's Logs. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands, July 2007. [pdf, slides: ppt]
 
  Jaime Teevan, Susan Dumais, and Eric Horvitz. Personalizing Search via Automated Analysis of Interests and Activities. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2005), Salvador, Brazil, August 2005. [pdf, slides: ppt] (Test of Time Award)
 
  Jaime Teevan, Christine Alvarado, Mark S. Ackerman, and David R. Karger. The Perfect Search Engine Is Not Enough: A Study of Orienteering Behavior in Directed Search. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2004), Vienna, Austria, April 2004. [pdf, slides: ppt]
 
  Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, and David R. Karger. Tackling the Poor Assumptions of Naive Bayes Text Classifiers. In Proceedings of the International Conference on Machine Learning (ICML 2003), Washington, D.C., August 2003. [ps, pdf]
 
  Jaime Teevan and David R. Karger. Empirical Development of an Exponential Probabilistic Model for Text Retrieval: Using Textual Analysis to Build a Better Model. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2003), Toronto, Canada, July 2003. [ps, pdf, slides: ppt]

REFEREED POSTERS:

  Harmanpreet Kaur, Alex C. Williams, Anne Loomis Thompson, Walter Lasecki, Shamsi Iqbal, and Jaime Teevan. Using Vocabularies to Collaboratively Create Better Plans for Writing Tasks. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, April 2018 (Late Breaking Work). [pdf]
 
  Rhema Linder, Shamsi Iqbal, and Jaime Teevan. Outsider Perspectives: Crowd-Based Feedback for Writing. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2018), Montreal, Canada, April 2018 (Late Breaking Work). [pdf]
 
  Peter Organisciak, Jaime Teevan, and Michael Twidale. Asking the Right Way: Design Interventions for Microtasks. In Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2017), Quebec City, Canada, October 2017 (Work-in-Progress).
 
  Danae Metaxa-Kakavouli, Gili Rusak, Jaime Teevan, and Michael S. Bernstein. The Web Is Flat: The Inflation of Uncommon Experiences Online. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016 (Late Breaking Work). [pdf] (Best Paper)
 
  Michael Nebeling, Anhong Guo, Alexandra To, Steven Dow, Jaime Teevan, and Jeffrey P. Bigham. WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2015), Charlotte, NC, November 2015 (Demo). [pdf]
 
  Jaime Teevan, Daniel Libeling, and Walter Lasecki. Selfsourcing Personal Tasks. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2014), Toronto, Canada, April 2014 (Work-in-Progress). [pdf]
 
  Jaime Teevan, Meredith Ringel Morris, and Shiri Azenkot. Using Physical Signaling to Support Collaborative Mobile Search. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2014), Baltimore, MD, February 2014. [pdf]
 
  Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, and Adam Tauman Kalai. Personalized Human Computation. Conference on Human Computation & Crowdsourcing (HCOMP 2013), Palm Springs, CA, November 2013 (Work-in-Progress). [pdf]
 
  Makoto Kato, Ryen White, Jaime Teevan, and Susan Dumais. Clarifications and Question Specificity in Synchronous Social Q&A. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2013), Paris, France, May 2013. [pdf]
 
  Krysta Svore, Jaime Teevan, Susan Dumais, and Anagha Kulkarni. Creating Temporally Dynamic Web Search Snippets. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2012), Portland, OR, August 2012. [pdf]
 
  Jaime Teevan, Susan Dumais, and Zachary Gutt. Challenges for Supporting Faceted Search in Large, Heterogeneous Corpora like the Web. Symposium on Human-Computer Interaction and Information Retrieval (HCIR 2008), Redmond, WA, October 2008. [pdf, poster: pdf]
 
  Ryen White, Susan Dumais, and Jaime Teevan. How Medical Expertise Influences Web Search Interaction. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore, July 2008. [pdf]
 
  Jaime Teevan, Susan Dumais, and Eric Horvitz. Characterizing the Value of Personalizing Search. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2007), Amsterdam, The Netherlands, July 2007. [pdf, poster: pdf]
 
  Jaime Teevan, Eytan Adar, Rosie Jones, and Michael Potts. History Repeats Itself: Repeat Queries in Yahoo's Logs. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2006), Seattle, WA, August 2006. [pdf, poster: jpg]
 
  Jaime Teevan. How People Recall Search Result Lists. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2006), Montreal, Canada, April 2006. [pdf, poster: jpg]
 
  Jaime Teevan. Displaying Dynamic Information. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI 2001), Seattle, WA, April 2001. [pdf, ps, poster: ppt]

TECHNICAL REPORTS AND INVITED ARTICLES:

  How 6 Experts Use Next-Generation AI. Microsoft WorkLab, April 2023. [html]
 
  Jaime Teevan, Nancy Baym, Jenna Butler, Brent Hecht, Sonia Jaffe, Kate Nowak, Abigail Sellen, and Longqi Yang (Eds.). Microsoft New Future of Work Report 2022. Microsoft Research Tech Report MSR-TR-2022-3 (http://aka.ms/newfutureofwork), May 2022. [pdf]
 
  Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Köpf, Jaime Teevan, Jim Kleewein, Saravan Rajmohan . Privacy Preserving Machine Learning: Maintaining Confidentiality and Preserving Trust. Microsoft Research Blog, 2022. [html]
 
  Victor Ruehle, Robert Sim, Sergey Yekhanin, Nishanth Chandran, Melissa Chase, Daniel Jones, Kim Laine, Boris Koepf, Jaime Teevan, Jim Kleewein, and Saravan Rajmohan. Privacy Preserving Machine Learning: Maintaining Confidentiality and Preserving Trust. Microsoft Research Blog, November 2021. [html]
 
  Jaime Teevan. What Science is Teaching Us about the Future of Work. LinkedIn, September 2021. [html]
 
  Jaime Teevan, Brent Hecht, and Sonia Jaffe (Eds.). The New Future of Work: Research from Microsoft on the Impact of the Pandemic on Work Practices. Microsoft Research Tech Report MSR-TR-2021-1 (http://aka.ms/newfutureofwork), January 2021. [pdf]
 
  Jaime Teevan. CHI 2021: Making Remote and Hybrid Meetings Work in the New Future of Work. Microsoft Research Blog, 2021. [html]
 
  Jaime Teevan and Brent Hecht. How Research Can Enable More Effective Remote Work. Microsoft Research Blog, 2020. [html]
 
  Shamsi Iqbal, Daniel McDuff, Mary Czerwinski, and Jaime Teevan. Happy and Productive at Work: Predicting Opportune Moments to Switch Tasks and Take Breaks. Microsoft Research Blog, 2020. [html]
 
  Jaime Teevan. The Future of Productivity: People and Tools that Grow Together. Microsoft Research Blog, July 2019. [html]
 
  Jaime Teevan. CRA Board Member Highlight: Jaime Teevan. CRA Bulletin, November 2018. [html]
 
  Nick Greer, Jaime Teevan, and Shamsi Iqbal. An Introduction to Technological Support for Writing. Microsoft Research Tech Report MSR-TR-2016-01, January 2016. [pdf]
 
  Michael Nebeling, Anhong Guo, Kyle Murray, Annika Tostengard, Angelos Giannopoulos, Martin Mihajlov, Steven Dow, Jaime Teevan, and Jeffrey P. Bigham. WearWrite: Orchestrating the Crowd to Complete Complex Tasks from Wearables (We Wrote This Paper on a Watch). arXiv:1508.02982, July 2015. [pdf]
 
  Sarah K. Tyler, Jaime Teevan, Peter Bailey, Sebastian de la Chica, and Nikhil Dandekar. Large Scale Log Analysis of Individuals' Domain Preferences in Web Search. Microsoft Research Tech Report MSR-TR-2015-048, June 2015. [pdf]
 
  William Jones, Robert Capra, Jesse David Dinneen, Anne Diekema, Jaime Teevan, Manuel A. Perez-Quinones, and Bradley Hemminger. Blue Ribbon Panel Consensus Report on Better Practices of Personal Information Management. , March 2015. [pdf]
 
  Jaime Teevan. Family Friendly Conferences. ACM-W Connections, January 2014. [pdf]
 
  Yubin Kim, Kevyn Collins-Thompson, and Jaime Teevan. Crowdsourcing for Robustness in Web Search. In Proceedings of the Text REtrieval Conference (TREC 2013), Gaithersburg, Maryland, November 2013. [pdf]
 
  Jaime Teevan, Meredith Ringel Morris, and Katrina Panovich. "Does Anyone Know How to Get Good Answers?" How Social Network Questions Shape Replies. Microsoft Research Tech Report MSR-TR-2013-062, June 2013. [pdf]
 
  Jaime Teevan. How People Re-Find Information When the Web Changes. MIT Artificial Intelligence Memo AIM-2004-012, June 2004. [ps, pdf]
 
  Christine Alvarado, Jaime Teevan, Mark S. Ackerman, and David R. Karger. Surviving the Information Explosion: How People Find Their Electronic Information. MIT Artificial Intelligence Memo AIM-2003-006, April 2003. [ps, pdf]

PATENTS:

  For issued patents, see USPTO patents issued to Jaime Teevan.
 
  For pending patents, see USPTO applications by Jaime Teevan.

COMMENCEMENT ADDRESSES:

  Jaime Teevan. Microproductivity and the Science of Transitions. Commencement Address at the University of North Carolina School of Information and Library Science, Chapel Hill, NC, May 2018. [html]

KEYNOTES:

  Jaime Teevan. From Documents to Dialogues: How LLMs are Shaping the Future of Work. Keynote at ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 2023. [html]
 
  Jaime Teevan. From Documents to Dialogues: How LLMs are Shaping the Future of Work. Keynote at ACM Knowledge Discovery and Data Mining (SIGKDD), August 2023. [html]
 
  Jaime Teevan. Generative AI: Hackathon Demo Session. Keynote at Carnegie Mellon University Generative AI Innovation Incubator, Virtual, August 2023. [watch]
 
  Jaime Teevan. How Hybrid Work Will Make Work More Intelligent. ACM International Conference on Information and Knowledge Management (CIKM 2022), Atlanta, GA, October 2022. [pdf]
 
  Jaime Teevan. Searching for a New and Better Future of Work. ACM Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 2022. [pdf]
 
  Jaime Teevan. Building Bridges for the Hybrid Era. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022), Singapore, May 2022. [html, watch]
 
  Jaime Teevan. How the Web Will Shape the Hybrid Work Era. Web Conference (TheWebConf 2022), Lyon, France, April 2022. [pdf, watch]
 
  Jaime Teevan. How Work Changing Changed My Work. Women in Data Science Puget Sound Conference (WiDSPS 2022), Virtual, April 2022. [watch]
 
  Jaime Teevan. The Future of (Micro-)Work. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), Virtual, November 2021. [watch]
 
  Jaime Teevan. Focusing on What Matters. 50th Anniversary Celebration, Department of Computer Science and Engineering, University of Minnesotta, Minneapolis, MN, November 2019. [slides: html, slides: ppt]
 
  Jaime Teevan. An Expansive View of Productivity. 20th Microsoft Research Faculty Summit, Redmond, WA, July 2019. [video: html]
 
  Jaime Teevan. Attending to What Matters. ACM International Conference on Web Search and Data Mining (WSDM 2019), Melbourne, Australia, February 2019. [pdf, slides]
 
  Jaime Teevan. The Science and Practice of Transitions. Keynote at ACM Symposium on User Interface Software and Technology (UIST 2018), Berlin, Germany, October 2018. [pdf, slides, video]
 
  Jaime Teevan. Disappearing Technology. Keynote at Pluralsight LIVE (LIVE 2018), Salt Lake City, UT, August 2018. [watch]
 
  Jaime Teevan. Search, Re-Search. Keynote at European Conference on Information Retrieval (ECIR 2017), Aberdeen, Scotland, April 2017. [slides]
 
  Jaime Teevan. Slow Search: Improving Information Retrieval Using Human Assistance. Keynote at ACM International Conference on Information and Knowledge Management (CIKM 2015), Melbourne, Australia, October 2015. [abstract: pdf, slides: ppt]
 
  Jaime Teevan. The Complicated Task of Making Search Simple. Keynote at Conference on User Modelling, Adaptation and Personalization (UMAP 2015), Dublin, Ireland, June 2015. [slides: ppt]
 
  Jaime Teevan. The Web Changes Everything. Michigan Institute for Data Science Symposium (MINDS 2014), Ann Arbor, MI, April 2014. [slides: ppt, video: html]
 
  Jaime Teevan. The Web Changes Everything: How Dynamic Content Affects the Way People Find Online. Keynote at ACM International Conference on Web Science (Web Science 2011), Koblenz, Germany, June 2011. [slides: ppt, video: html]
 
  Jaime Teevan. Using Large Scale Log Analysis to Understand Human Behavior. Keynote at Journal of Information Technology & Politics: The Future of Computational Social Science (JITP 2011), Seattle, WA, May 2011. [slides: ppt]

INVITED TALKS:

  Jaime Teevan. AI and the Future of Productivity. Stanford Institute for Economic Policy Research (SIEPR), Stanford, CA, October 2023. [watch]
 
  Jaime Teevan. The Future of Work and AI. Microsoft Alumni Global Summit (Connect 2023), Redmond, WA, September 2023.
 
  Jaime Teevan. The Hybrid Work Era Will Be Defined by the Interaction of Digital Technology with Physical Space. ACM Symposium on User Interface Software and Technology (UIST 2022), Bend, OR, October 2022 (Vision). [pdf, watch]
 
  Jaime Teevan. Lead Like a Scientist: The Value of Blending Science and Empathy. GeekWire Summit, Seattle, WA, October 2022. [html]
 
  Jaime Teevan. Amplifying Human Productivity and Creativity Track. Microsoft Research Summit, Virtual, October 2022 (Track Host). [watch]
 
  Ryen White, Charles L. A. Clarke, William Hersh, Jian-Yun Nie, Maarten de Rijke, Jaime Teevan, Justin Zobel. SIGIR Academy Awards Session. ACM Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 2022. [watch]
 
  Jaime Teevan. Welcome, Microsoft Africa Research Institute (MARI). Microsoft Africa Development Center (ADC) Launch, Nairobi, Kenya, April 2022.
 
  Jaime Teevan. Women in Leadership: In Conversation with Jaime Teevan. Australian Association for International Women's Day (Host: Jennifer Nason), Virtual, March 2022. [watch]
 
  Jaime Teevan. The New Future of Work. Nathan Krasnopoler Memorial Speaker, Johns Hopkins University, Baltimore, MD, February 2022. [pdf]
 
  Jaime Teevan. The New Future of Work. Joint International Conference on Data Science and Management of Data (CODS-COMAD 2022), Virtual, January 2022.
 
  Jaime Teevan. The Hows and Whys of Hybrid Work. Collaborative Gain (Moderator: Ron Pessner), Virtual, November 2021. [video]
 
  Jaime Teevan. New Future of Work Track. Microsoft Research Summit, Virtual, October 2021 (Track Host). [video]
 
  Jaime Teevan. New Technologies for Working. EmTech Next, MIT Technology Review, June 2021. [html]
 
  Jaime Teevan. Conversational Search in the Enterprise. Dagstuhl Seminar on Conversational Search, Dagstuhl, Germany, November 2019.
 
  Jaime Teevan. 2019 SFUHS Alumni Honors Recipient: Jaime Teevan '94. San Francisco University High School, San Francisco, CA, May 2019. [video: html]
 
  Jaime Teevan. Spanning the AI Spectrum. MIT Artificial Intelligence Conference, San Francisco, CA, April 2018. [html]
 
  Jaime Teevan. The Importance of Data to AI Efforts. Women in Data Science Conference Live at Microsoft (WiDS 2018), Redmond, WA, March 2018.
 
  Jaime Teevan. Microproductivity: Getting Big Things Done with Little Microtasks. University of Washington dub, Seattle, WA, November 2017. [slides, video]
 
  Jaime Teevan. Microproductivity: Getting Big Things Done with Little Microtasks. AAAI Conference on Human Computation and Crowdsourcing workshop on Mathematical Foundations of Human Computation (HCOMP 2016), Austin, TX, November 2016. [slides: ppt]
 
  Jaime Teevan. Microproductivity: Getting Big Things Done with Little Microtasks. University of California, San Diego (Design@Large Speaker Series), San Diego, CA, October 2016. [slides: ppt, video: html]
 
  Jaime Teevan. Microproductivity: Getting Big Things Done with Little Microtasks. Microsoft Research Faculty Summit, Redmond, WA, July 2016. [slides: ppt, video: html]
 
  Jaime Teevan. Slow Search. Stanford University (Human-Computer Interaction Seminar), Stanford, CA, May 2016. [slides: html, slides: ppt, video: html]
 
  Jaime Teevan. View From the Top: Jaime Teevan, EECS '07: Slow Search Algorithms. MIT Club of Puget Sound, Redmond, WA, March 2016. [html, slides: ppt]
 
  Jaime Teevan. Slow Search: Improving Information Retrieval Using Human Assistance. Northwestern University (Technology and Social Behavior Speaker Series), Evanston, Il, October 2015. [slides: ppt]
 
  Jaime Teevan. Slow Search: Improving Information Retrieval Using Human Assistance. University of Illinois at Urbana-Champaign (HCI Seminar), Urbana-Champaign, Il, August 2015. [slides: ppt]
 
  Jaime Teevan. The Web Changes Everything. Keynote at Rutgers, New Brunswick, NJ, May 2014. [slides: ppt, video: html]
 
  Jaime Teevan. Slow Search: Improving Information Retrieval by Including People in the Search Process. Carnegie Mellon University (Crowdsourcing Lunch Seminar), Pittsburgh, PA, October 2013. [slides: ppt]
 
  Walter Lasecki, Ece Kamar, and Jaime Teevan. Raising an Army: Attacking Crowd Systems. Conference on the Future of Distributed Work (CrowdConf 2013), San Francisco, CA, October 2013. [pdf]
 
  Jaime Teevan. Using Large Scale Log Analysis to Understand Human Behavior. University of Washington dub, Seattle, WA, January 2013. [slides: ppt]
 
  Jaime Teevan. Using Mobile Phones to Augment Face-to-Face Social Interaction. University of Michigan MISC, Ann Arbor, MI, November 2012. [slides: ppt]
 
  Jaime Teevan. Does Anyone Have a Question? TEDxUChicago, Chicago, IL, April 2012. [slides: ppt, video: html]
 
  Jaime Teevan. Does Anyone Want to Learn How to Get Their Questions Answered? University of Washington, Seattle, WA, October 2011. [slides: ppt]
 
  Jaime Teevan. The Web Changes Everything: How Dynamic Content Affects the Way People Find Online. Stanford University (Human-Computer Interaction Seminar), Stanford, CA, December 2009. [html, slides: ppt, video: html]
 
  Jaime Teevan and Susan Dumais. Creating a Search Experience That Satisfies You. Microsoft Search Summit, Seattle, WA, June 2009. [ppt]
 
  Jaime Teevan. Using the Past to Inform Our Future Information Interactions. University of Washington, Seattle, WA, June 2009. [ppt]
 
  Jaime Teevan. The Web Changes Everything: How Dynamic Content Affects the Way People Find Online. Massachusetts Institute of Technology, Cambridge, MA, April 2009. [slides: ppt, video: mp4]
 
  Jaime Teevan. Helping People Find Information Better. Greater Boston Chapter of the ACM and Boston IEEE Computer Society, Cambridge, MA, April 2005. [slides: ppt]
 
  Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. MIT Computer Science and Artificial Intelligence Laboratory Student Seminar, Cambridge, MA, October 2004. [slides: ppt]
 
  Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. Palo Alto Research Center (PARC), Palo Alto, CA, October 2004. [slides: ppt]
 
  Jaime Teevan. Personalized Web Search: Uncommon Responses to Common Queries. Yahoo!, Sunnyvale, CA, October 2004. [slides: ppt]
 
  Jaime Teevan. Personalizing Web Search. Microsoft Research, Seattle, WA, May 2004. [slides: ppt]
 
  Jaime Teevan. The Perfect Search Engine is Not Enough. University of Washington iSchool, Seattle, WA, April 2004. [slides: ppt]
 
  Jaime Teevan. Surviving the Information Explosion: How People Find Their Electronic Information. IBM Watson Research Center, Cambridge, MA, June 2003. [abstract: html, slides: ppt]
 
  Jaime Teevan and Christine Alvarado. Surviving the Information Explosion. MIT Artificial Intelligence Laboratory Student Seminar, Cambridge, MA, November 2001. [abstract: html, slides: ppt]
 
  Jaime Teevan. Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond. MIT EECS Masterworks, Cambridge, MA, April 2001.

PANELS:

  Jaime Teevan, Ming Ye, Moderator: Gabriela de Queiroz. Fireside Chat with Jaime Teevan and Ming Ye. Panelist, Virtual, September 2023. [watch]
 
  Deon Nicholas, Kieran Snyder, Jaime Teevan, and Alex Konrad. This Changes Everything - Or Does It? AI's Impact on the Future of Work. Forbes Future of Work Summit, New York, NY, June 2023. [clip, clip]
 
  Lisa Amini, Ben Carterette, Jaime Teevan, Manuela Veloso, and Fatma Ozcan. Computing Research in Industry. CRA-Industry Virtual Roundtable Series (CRA-I), Virtual, November 2022 (Panelist). [watch]
 
  Diane Kelly, Gabriella Pasi, Jaime Teevan, Luz Rello. Women in IR (WIR) 2022. ACM Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 2022 (Panelist). [html]
 
  Amruth Kumar, Rajendra Raj, Kristen Sinohara, Elizabeth Mynatt, Amanda Stent, Liz Bradley, Christine Alvarado, and Jaime Teevan. Reports from the Computing Research Community. CRA Conference at Snowbird (Snowbird 2022), Snowbird, UT, July 2022 (Co-Chair).
 
  Susan Dumais, Fernando Pereira, Manuela Veloso, Kristin Lauter, and Jaime Teevan. Computing Research in Industry. CRA Conference at Snowbird (Snowbird 2022), Snowbird, UT, July 2022 (Moderator).
 
  Gloria Mark, David Karger, Jaime Teevan, and Steve Whittaker. Perspectives on PIM. Personal Information Management (PIM) Monthly Seminar, Virtual, April 2022 (Panelist).
 
  Jaime Teevan and Kathleen Fisher. Research Funding Overviews. Career Mentoring Workshop, Computing Research Association (CRA), Washington, D.C., January 2022 (Panelist). [html]
 
  Holly Rushmeier, Jaime Teevan, and Ajay Dhankhar. Diversity in the Field of Computer Science at Yale and Beyond. Yale Alumni Assembly and Convocation, Virtual, November 2021 (Panelist).
 
  Charles Isbell, Qian Yang, Jaime Teevan, and Aaron Halfaker. The Future of Human-AI Collaboration. Microsoft Research Summit (Track: Responsible AI), Virtual, October 2021 (Panelist). [video: watch]
 
  Sinan Aral and Jaime Teevan. Fireside Chat: Building an Equitable Environment for Hybrid Work. Microsoft Research Summit (Track: New Future of Work), Virtual, October 2021 (Moderator). [video: watch]
 
  Joe Whittinghill, Jaime Teevan, Janice Omadeke, and Kenneth Cukier. Enabling True Flexibility When There's No One-Size-Fits-All Solution. Innovation @ Work US, The Economist, Virtual, October 2021 (Panelist). [watch]
 
  Maria Bezaitis, Charles Isbell, Glenn Ricart, Jaime Teevan, Manuela Veloso, Chris Ramming, and Divesh Srivastava. Corporate Responsibility and Computing Research. CRA-Industry Virtual Roundtable Series, Virtual, July 2021 (Panelist).
 
  Lei Chen, Krishna Gummadi, Saiph Savage, Jaime Teevan, Koichiro Yoshida, Sihem Amer-Yahia, and Senjuti Basu Roy. Data Management to Social Science and Back in the Future of Work. ACM Special Interest Group on Management of Data (SIGMOD 2021), Virtual, June 2021 (Plenary).
 
  Sinan Aral, Azeem Azhar, Noshir Contractor, Jaime Teevan, and Wendy Hall. The Future of the Web and Society. ACM International Conference on Web Science (Web Science 2021), Virtual, June 2021 (Panelist). [watch]
 
  Ted Kim, Holly Rushmeier, Eve Schooler, Jaime Teevan, and Ajay Dhankhar. Broadening Perspectives. Yale Computer Science, Virtual, April 2021 (Panelist).
 
  Jaime Teevan, Mar Gonzalez Franco, Haiyan Zhang, and Stefany Cruz. Research in STEM as a Career. Microsoft Research Conversations in STEM, Virtual, February 2021 (Panelist). [html, watch]
 
  Michael S. Bernstein, Irene Greif, Wendy E. Mackay, Hiroshi Ishii, Jonathan Grudin, Karrie G. Karahalios, Meredith Ringel Morris, Aniket Kittur, Jaime Teevan, Amy X. Zhang, and Niloufar Salehi. UIST + CSCW: A Celebration of Systems Research in Collaborative and Social Computing. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2020) and ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2020), Virtual, October 2020 (Panelist). [pdf]
 
  Jaime Teevan and Bill Scherlis. Research Funding Overviews. Career Mentoring Workshop, Computing Research Association (CRA), Washington, D.C., February 2020 (Panelist).
 
  Robert Cailliau, Eddan Katz, Tom Simonite, and Jaime Teevan. Plenary Panel: 30 Years of the Web. Web Conference (TheWebConf 2019), San Francisco, CA, May 2019 (Panelist). [video: watch]
 
  Barbara Liskov, Pattie Maes, Esther Duflo, Stephanie Muller, and Jaime Teevan. Luminaries in Computing. MIT Stephen A. Schwarzman College of Computing Launch Days, Cambridge, MA, February 2019 (Panelist).
 
  Azita Emami, Ranjitha Kumar, Katrina LaCurts, Jaime Teevan, and Kathy Yelick. Career Trajectories. MIT EECS Rising Stars, Cambridge, MA, October 2018 (Moderator).
 
  Urszula Chajewska, Ashutosh Garg, Tim Paek, Mehran Sahami, and Jaime Teevan. Innovation in the Open World. Principles of Intelligence: A Celebration of Colleagues and Collaboration., Redmond, WA, August 2018 (Moderator). [video: watch]
 
  Irene Greif, Paul Luff, Barry Brown, Aleksandra Sarcevic, and Jaime Teevan. Lasting Impact Award: Mobility in Collaboration. In Proceedings of the ACM Conference on Computer Supported Cooperative Work (CSCW 2017), Portland, OR, February 2017 (Panelist).
 
  Jaime Teevan, Nutan Limaye, Geetha Manjunath, and Srujana Merugu. ACM India Women Session: Panel Discussion. Microsoft Research India Academic Research Summit, Bangalore, India, January 2017 (Panelist). [video: watch]
 
  Robert Craft, Roy Raanani, Kieran Snyder, Jaime Teevan, and Gordon Ritter. Machine Learning Wins in Targeted Domains. Emergence Capital 3rd Annual Industry Cloud Forum, October 2016 (Panelist).
 
  Soonmin Bae, Marshall Tappen, Jaime Teevan, and Wade Roush. Faculty Forum Online, Alumni Edition: Industry or Academia? MIT Alumni Association Infinite Connection, March 2016 (Panelist). [watch]
 
  Patty Lopez and Jaime Teevan. Building Your Professional Persona. CRA-W Career Mentoring Workshop at the Grace Hopper Conference (GHC 2014), Phoenix, AZ, October 2014 (Panelist). [slides: ppt]
 
  Saleema Amershi, Julie Kientz, and Jaime Teevan. Women in Technology Panel. STEM School, Redmond, WA, April 2014 (Panelist).
 
  Holly Rushmeier and Jaime Teevan. Publishing Your Research. CRA-W Career Mentoring Workshop at the Grace Hopper Conference (GHC 2013), Minneapolis, MN, October 2013 (Panelist). [slides: ppt]
 
  Cliff Lampe, Lili Cheng, and Meredith Ringel Morris. Social Search. Microsoft Research Faculty Summit, Redmond, WA, July 2012 (Moderator). [video: watch]
 
  Deborah Barreau, Jaime Teevan, William Jones, Robert Capra, and Andrea Japzon. Shared Personal Space: Meeting the Needs of Multiple Users and Multiple Purposes. Annual Meeting of the American Society for Information Science & Technology (ASIST 2009), Vancouver, Canada, November 2009 (Moderator). [slides]
 
  Jacek Gwizdka, Nicholas Belkin, Luanne Freund, Susan Gauch, and Jaime Teevan. Multiple Facets of Personalization. Annual Meeting of the American Society for Information Science & Technology (ASIST 2009), Vancouver, Canada, November 2009 (Panelist). [slides]
 
  Jaime Teevan, Ivana Marenzi, and Jeremy Pickens. Collaborative Search. ACM Conference on Research and Development in Information Retrieval workshop on Search in Social Media (SIGIR 2009), Boston, MA, July 2009 (Panelist). [slides]
 
  Jennifer Mankoff, Jaime Teevan, Benjamin B. Bederson, and Gregory D. Abowd. Real Life and Real Work: Real Experiences Negotiating the Competing Needs of Illness, Disability, Children, and Work. ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, April 2009 (Panelist).
 
  Judith V. Boettcher, Pam McQuesten, Jaime Teevan, and Boris Vilic. Personal Information Management (PIM) with Mobile Devices. Campus Technology, Boston, MA, August 2006 (Panelist). [slides]
 
  William Jones, Mary Czerwinski, Jaime Teevan, Catherine Plaisant, Thomas P. Moran, and Alan Dix. The Challenge of Personal Information Management. IFIP TC13 International Conference on Human-Computer Interaction (INTERACT 2005), Rome, Italy, September 2005 (Panelist).

WORKSHOP ORGANIZER:

  Jaime Teevan, Shamsi Iqbal, Carrie J. Cai, Jeffrey P. Bigham, Michael S. Bernstein, and Elizabeth M. Gerber. Productivity Decomposed: Getting Big Things Done with Little Microtasks. ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016 (Organizer). [html, pdf, Position paper: pdf]
 
  William Jones, Catherine Marshall, Victoria Bellotti, Robert Capra, Jesse David Dinneen, Gloria Mark, Karyn Moffatt, Jaime Teevan, and Max Van Kleek. Personal Information Management (PIM 2016): For Richer, for Poorer, in Sickness or in Health... The Long-Term Management of Personal Information. ACM Conference on Human Factors in Computing Systems (CHI 2016), San Jose, CA, May 2016 (Organizer). [html]
 
  Robert Capra, Kirstie Hawkey, William Jones, Manuel A. Perez-Quinones, and Jaime Teevan. Personal Information Management (PIM 2013). Annual Meeting of the American Society for Information Science & Technology (ASIST 2013), Montreal, Canada, November 2013 (Organizer). [html]
 
  Susan Dumais, Gary Olson, and Jaime Teevan. HCIC 2013: Data, Data, Data. Human Computer Interaction Consortium (HCIC 2013), Pajaro Dunes, CA, June 2013 (Organizer).
 
  Mark S. Ackerman, Lada Adamic, Nicole Ellison, Darren Gergle, Brent Hecht, Cliff Lampe, Meredith Ringel Morris, and Jaime Teevan. Social Media Question Asking. ACM Conference on Computer Supported Cooperative Work (CSCW 2013), San Antonio, TX, February 2013 (Organizer). [html]
 
  Matthias Boehmer, Ernesto William De Luca, Alan Said, and Jaime Teevan. 3rd Workshop on Context-Awareness in Retrieval and Recommendation (CaRR 2013). ACM International Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, February 2013 (Organizer). [html]
 
  Vanessa Murdock, Jaime Teevan, and Jennifer Neville. Unconventional WSDM: Working Group on Gender Diversity (UWSDM). ACM International Conference on Web Search and Data Mining (WSDM 2013), Rome, Italy, February 2013 (Organizer).
 
  Karen Church, Jaime Teevan, and Matt Jones. Mobility and Web Behavior. Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI 2012), San Francisco, CA, September 2012 (Organizer). [html]
 
  Robert Capra and Jaime Teevan. Personal Information Management (PIM) 2012. ACM Conference on Computer Supported Cooperative Work (CSCW 2012), Seattle, WA, February 2012 (Organizer). [html]
 
  David Elsweiler, Gareth J. F. Jones, Liadh Kelly, and Jaime Teevan. Desktop Search: Understanding, Supporting, and Evaluating Personal Data Search. ACM Conference on Research and Development in Information Retrieval (SIGIR 2010), Geneva, Switzerland, July 2010 (Organizer). [html, report: pdf]
 
  Deborah Barreau, Jaime Teevan, and Jacek Gwizdka. Personal Information Management (PIM) 2009. Annual Meeting of the American Society for Information Science & Technology (ASIST 2009), Vancouver, Canada, November 2009 (Organizer). [html]
 
  Nicholas J. Belkin, Ralf Bierig, Georg Buscher, Ludger van Elst, Jacek Gwizdka, Joemon Jose, and Jaime Teevan. Understanding the User: Logging and Interpreting User Interactions in Information Search and Retrieval. ACM Conference on Research and Development in Information Retrieval (SIGIR 2009), Boston, MA, July 2009 (Organizer). [html, report: pdf]
 
  Jaime Teevan and William Jones. The Disappearing Desktop (PIM 2008). ACM Conference on Human Factors in Computing Systems (CHI 2008), Florence, Italy, April 2008 (Organizer). [pdf, Web site: html, report: pdf]
 
  Einat Amitay, G. Craig Murray, and Jaime Teevan. Query Log Analysis: Social And Technological Challenges. International World Wide Web Conference (WWW 2007), Banf, Canada, May 2007 (Organizer). [html, report: pdf]

WORKSHOP PARTICIPANT:

  Longqi Yang, Sonia Jaffe, David Holtz, Siddharth Suri, Shilpi Sinha, Jeffrey Weston, Connor Joye, Neha Shah, Kevin Sherman, CJ Lee, Brent Hecht, and Jaime Teevan. How Work from Home Affects Collaboration: A Large Scale Study of Information Workers in a Natural Experiment During COVID-19. In Proceedings of the Symposium on the New Future of Work (NFW 2020), Virtual, August 2020. [pdf]
 
  Shamsi Iqbal, Jina Suh, Mary Czerwinski, Gloria Mark, and Jaime Teevan. Remote Work and Well-Being. In Proceedings of the Symposium on the New Future of Work (NFW 2020), Virtual, August 2020. [pdf, video]
 
  Lawrence Cavedon, Bernd Froehlich, Hideo Joho, Ruihua Song, Jaime Teevan, Johanne Trippas, and Emine Yilmaz. Scenarios that Invite Conversational Search. Dagstuhl Seminar on Conversational Search, Dagstuhl, Germany, November 2019.
 
  Jaime Teevan. Maintaining Consistency without Stagnation during Exploratory Search. ACM Conference on Human Factors in Computing Systems workshop on Exploratory Search and HCI (CHI 2007), San Jose, CA, May 2017. [pdf, slides: ppt]
 
  Rishabh Mehrotra, Paul Bennett, Susan Dumais, and Jaime Teevan. Characterizing Cross-Domain Search Behavior. In Proceedings of the ACM Conference on Research and Development in Information Retrieval workshop on Heterogeneous Information Access (HIA 2016), Pisa, Italy, July 2016. [pdf]
 
  Peter Organisciak, Jaime Teevan, Susan Dumais, Robert C. Miller, and Adam Kalai. Matching and Grokking: Approaches to Personalized Crowdsourcing. In Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI 2015), Buenos Aires, Argentina, July 2015. [pdf] (Best Paper from Sister Conference)
 
  Helen J. Wang, Alexander Moshchuk, Michael Gamon, Shamsi Iqbal, Eli T. Brown, Ashish Kapoor, Chris Meek, Eric Chen, Yuan Tian, Jaime Teevan, Mary Czerwinski, and Susan Dumais. The Activity Platform. In Proceedings of the USENIX 15th Workshop on Hot Topics in Operating Systems (HotOS XV), Kartause Ittingen, Switzerland, May 2015. [pdf]
 
  Walter Lasecki, Mitchell Gordon, Jaime Teevan, Ece Kamar, and Jeffrey P. Bigham. Preserving Privacy in Crowd-Powered Systems. Conference on Autonomous Agents and Multiagent Systems workshop on Human-Agent Interaction Design and Models (HAIDM 2015), Istanbul, Turkey, May 2015. [pdf]
 
  Walter S. Lasecki, Jaime Teevan, and Ece Kamar. The Cost of Asking Crowd Workers to Behave Maliciously. AAMAS Workshop on Human-Agent Interaction Design and Models, Istanbul, Turkey, May 2015. [pdf]
 
  Jaime Teevan, Meredith Ringel Morris, and T. Scott Saponas. Mobile Support for Face-to-Face Social Interaction. Human Computer Interaction Consortium (HCIC 2014), Pajaro Dunes, CA, June 2014. [pdf, slides: ppt]
 
  Robert Capra, Abdigani Diriye, and Jaime Teevan. Summary Support for Search Results, Sessions, and Tasks. NSF Task-Based Information Search Systems Workshop, Chapel Hill, NC, March 2013. [pdf]
 
  Avishay Livne, Eytan Adar, Jaime Teevan, and Susan Dumais. Predicting Citation Counts Using Text and Graph Mining. The iConference 2013 Workshop on Computational Scientometrics: Theory and Applications, Fort Worth, TX, February 2013. [pdf]
 
  Meredith Ringel Morris and Jaime Teevan. Exploring the Complementary Roles of Social Networks and Search Engines. Human Computer Interaction Consortium (HCIC 2012), Asilomar, CA, June 2012. [pdf, ppt]
 
  Meredith Ringel Morris and Jaime Teevan. Understanding Groups' Properties as a Means of Improving Collaborative Search Systems. Joint Conference on Digital Libraries workshop on Collaborative Information Retrieval (JCDL 2008), Pittsburgh, PA, June 2008. [pdf]
 
  Jaime Teevan, Susan Dumais, and Eric Horvitz. Beyond the Commons: Investigating the Value of Personalizing Web Search. Workshop on New Technologies for Personalized Information Access (PIA 2005), Edinburgh, Scotland, July 2005. [pdf]
 
  Jaime Teevan and Nicholas J. Belkin. Don't Drop the Ball: Re-Finding Personal Information. NSF Sponsered Invitational Workshop of Personal Information Management (NSF PIM Workshop), Seattle, WA, January 2005. [pdf]
 
  Jaime Teevan. The Re:Search Engine: Helping People Return to Information on the Web. NSF Sponsered Invitational Workshop of Personal Information Management (NSF PIM Workshop), Seattle, WA, January 2005 (Poster). [jpg]
 
  Jaime Teevan. Seesaw: Personalized Web Search. Student Workshop for Information Retrieval and Language (SWIRL 2004), Amherst, MA, November 2004. [slides: ppt]
 
  Jaime Teevan. "Where'd It Go?": Re-Finding Information in the Changing Web. Student Oxygen Workshop, Gloucester, MA, September 2003. [ps, pdf]
 
  David Karger and Jaime Teevan. Go to the Source: Capturing User Preferences at the Desktop. ACM Conference on Research and Development in Information Retrieval workshop on Implicit Measures of User Interests and Preferences (SIGIR 2003), Toronto, Canada, July 2003.
 
  Jaime Teevan. Automatic Directory Gatherer. ACM Conference on Research and Development in Information Retrieval workshop on Hypertext Information Retrieval for the Web (SIGIR 1998), Melbourne, Australia, August 1998.

COURSES, TUTORIALS, AND GUEST LECTURES:

  Jaime Teevan. Using Large Scale Log Analysis to Understand Human Behavior. University of Washington, Seattle, WA, November 2016 (INFO 470: Research Methods in Informatics. Instructor: Prof. Jacob Wobbrock). [slides: ppt]
 
  Jaime Teevan. Fireside: Jaime Teevan on Failure. University of Washington, Seattle, WA, November 2015 (INSC 570: Research Design. Instructor: Prof. Jacob Wobbrock).
 
  Daniel Russell, Ed Chi, Marti Hearst, Meredith Ringel Morris, and Jaime Teevan. Design for Searching and Finding. Course at the ACM Conference on Human Factors in Computing Systems (CHI 2015), Seoul, Korea, April 2015[slides]
 
  Jaime Teevan. Using Large Scale Log Analysis to Understand Human Behavior. University of North Carolina, Chapel Hill, NC, January 2015 (Instructor: Prof. Diane Kelly). [slides]
 
  Jaime Teevan. Evidence from Behavior. University of Maryland, College Park, MD, October 2014 (INST 734: Information Retrieval Systems. Instructor: Prof. Doug Oard). [Link1]
 
  Diane Kelly, Filip Radlinski, and Jaime Teevan. Choices and Constraints: Research Goals and Approaches in Information Retrieval. Tutorial at ACM Conference on Research and Development in Information Retrieval (SIGIR 2014), Gold Coast, Australia, July 2014[slides]
 
  Jaime Teevan. Finding and Re-Finding Personal Information. University of Washington, Seattle, WA, May 2012 (INFX 571: The Future of Personal Information Management. Instructor: Prof. William Jones).
 
  Jaime Teevan. The Use of Context in Search. University of Washington, Seattle, WA, November 2011 (INFO 320: Information Needs, Searching, and Presentation. Instructor: Prof. William Jones). [pdf]
 
  Susan Dumais, Robin Jeffries, Daniel Russell, Diane Tang, and Jaime Teevan. Designing and Analyzing Large Scale Logs Studies. Course at the ACM Conference on Human Factors in Computing Systems (CHI 2011), Vancouver, Canada, May 2011[slides]
 
  Jaime Teevan. Large Scale Log Analysis. University of Washington, Seattle, WA, January 2011 (CSE 510: Advanced Topics in Human-Computer Interaction. Instructor: Prof. James Fogarty).
 
  Susan Dumais, Robin Jeffries, Daniel M. Russell, Diane Tang, and Jaime Teevan. Design of Large Scale Log Analysis Studies: A Short Tutorial. Human Computer Interaction Consortium (HCIC 2010), Fraser, CO, February 2010[slides]
 
  Jaime Teevan. Personalizing Search. University of Washington, Seattle, WA, May 2009 (CSE 454: Advanced Internet Systems. Instructor: Prof. Daniel Weld).
 
  Jaime Teevan. Finding and Re-Finding Personal Information. University of Washington, Seattle, WA, April 2008 (INSC598: Personal Information Management. Instructor: Prof. William Jones). [slides: ppt]
 
  Jaime Teevan. Personalization and Search. University of California, Berkeley, Berkeley, CA, November 2007 (i141: Search Engines: Technology, Society, and Business. Instructor: Prof. Marti Hearst). [slides: ppt]
 
  Jaime Teevan. Re-Finding!. Franklin W. Olin College of Engineering, Needham, MA, May 2005 (ENGR3220: Human Factors and Interface Design. Instructor: Prof. Lynn Andreas Stein). [slides: ppt]

PODCAST AND BROADCASTS:

  Jaime Teevan. Jaime Teevan on the Future of Work. Possible Podcast (Hosts: Reid Hoffman, Aria Finger), April 2023. [clip, listen, transcript]
 
  Amith Addrisi. Microsoft Scientist Studying the Pros and Cons of Remote Work. New Day Northwest, King 5, April 2022. [watch]
 
  Patricia Murphy and Clare McGrane. Back to the Office. Seattle Now, KUOW, March 2022. [listen]
 
  Longqi Yang and Jaime Teevan. So... What Really Did Happen When We All Started Working from Home? Brain for Business, Brain for Life Podcast (Host: Laurence Knell), November 2021. [audio: listen]
 
  Jared Spataro and Jaime Teevan. 73%: The Hybrid Work Paradox. WorkLab, Microsoft (Host: Elise Hu), September 2021. [audio: listen]
 
  Amith Addrisi and Joseph Suttner. An Update on Remote Work from Microsoft Researcher. New Day Northwest, King 5, September 2021. [video: watch]
 
  Ginger Hudson. Redefining Workspaces as Hybrid and Remote Work Become More Prevalent. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), August 2021. [audio: listen]
 
  Siddharth Suri. How Remote and Hybrid Work Will Shape Workplaces and Society. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), August 2021. [audio: listen]
 
  Brian Houck. How Developer Collaboration and Productivity Are Changing in a Hybrid Work Model. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), July 2021. [audio: listen]
 
  Matt Brodsky. Managing IT and Security in Remote Scenarios. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), July 2021. [audio: listen]
 
  Sonia Jaffe. Staying Productive and Happy When Our Office Is Our Home. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), July 2021. [audio: listen]
 
  Brent Hecht. Driving Innovation via Cross-Company Research with Jaime Teevan and Brent Hecht. In Proceedings of the New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), June 2021. [audio: listen]
 
  Abigail Sellen. Meeting and collaborating in a remote and hybrid world with Jaime Teevan and Abigail Sellen. New Future of Work, Microsoft Research Podcast (Host: Jaime Teevan), June 2021. [audio: listen]
 
  Derek Haas. Going Hybrid? What Will the Future Workplace Look Like? New Day Northwest, King 5, June 2021. [video: watch]
 
  Amity Addrisi and Joseph Suttner. Tending to Mental Health, Workplace Changes Among Priorities for Adults as Society Opens Up. New Day Northwest, King 5, May 2021. [video: watch]
 
  Jaime Teevan. Episode 13: Web and the New Future of Work with Jaime Teevan. Untangling the Web, Web Science Trust (Host: Noshir Contractor), April 2021. [audio: listen]
 
  Patricia Murphy. A Chance to Change the Office. Seattle Now, KUOW, March 2021. [audio: listen]
 
  Jaime Teevan. Welcome to the Brave New (Digital) World. New Thinking for a New World, Tallberg Foundation (Host: Alan Stoga), January 2021. [audio: listen]
 
  Jaime Teevan. Snippets from the Revolution - An Interview with Dr. Jaime Teevan. Microsoft Research Podcast (Host: Gretchen Huizinga), 2017. [audio: listen]
 
  Stefen Wietz and Jaime Teevan. The Changing Web: Effects on Searches. Microsoft Bing, May 2009. [video: watch]
 
  Jon Gordon. Web Search Gets Personal. Future Tense (broadcast by NPR), August 2005. [audio: listen]

PRINT MEDIA:

  Ayesha Javed. Jaime Teevan: The 100 Most Influential People in AI 2023. TIME, September 2023. [html]
 
  Harry McCracken. Microsoft’s Satya Nadella is winning Big Tech’s AI war. Here’s how. Fast Company, August 2023. [html]
 
  Satya Nadella, Jared Spataro, Sumit Chauhan, Akosua Boadi-Agyemang, Jaime Teevan, and Jon Friedman. The Future of Work: Reinventing Productivity with AI. Microsoft M365 Copilot Launch, March 2023. [watch]
 
  Jane Halpern and Alexandra Kahn. Six with Ties to MIT Honored as 2022 ACM Fellows. MIT News, January 2023. [html]
 
  Jim Ormond. Global Computing Association Names 57 Fellows for Outstanding Contributions That Propel Technology Today. ACM Media Center, January 2023. [html]
 
  Lisa Stiffler. A Whole New Mindset: HR Experts and Researchers Share Tips for a Successful Return to Office. GeekWire, October 2022. [html]
 
  Todd Bishop. Leading Like a Scientist: Microsoft’s Jaime Teevan on the New Mindset for the Future of Work. GeekWire, October 2022. [html]
 
  Employers Can Make Remote Working a Success by Listening to Research. Nature, April 2022. [html]
 
  Todd Bishop. Microsoft Cites Risk of Digital Overload as Flexible Work Creates Potential "24/7 Workday". GeekWire, March 2022. [html]
 
  2022 Work Trend Index: Annual Report. Microsoft WorkLab, March 2022. [pdf]
 
  6 Simple Ways to Enable Flexible Work Today. Microsoft WorkLab, March 2022. [html]
 
  Dickson Otieno. Microsoft Launches Research Institute in Nairobi Housed at the New ADC Offices. Techish, March 2022. [html]
 
  Nixon Kanali. Microsoft ADC Offices in Nairobi to House the Company’s First Research Institute in Africa. TechTrendsKE, March 2022. [html]
 
  3 Ways Hybrid Collaboration Can Bridge Both Space and Time. Microsoft WorkLab, November 2021. [html]
 
  Amanda Vanstone. Hybrids and Hurdles. Counterpoint, Australian Broadcast Corporation (ABC), October 2021. [html]
 
  Cara Kulman. Tech Moves: Azure GM Joins Madrona; Microsoft Promotes Chief Scientist; Esper Adds Exec; More. GeekWire, September 2021. [html]
 
  Chris Matyszczyk. A Microsoft Scientist Went on TV and Revealed the Craziest Truth about Working from Home. ZDNet, September 2021. [html]
 
  Tanya Basu. Meetings Suck. Can We Make Them More Fun? MIT Technology Review, September 2021. [html]
 
  To Thrive in Hybrid Work, Build a Culture of Trust and Flexibility. Microsoft WorkLab, September 2021. [html]
 
  Jeff D'Alessio. Big 10: What Will the Internet Look and Feel Like 30 Years from Now? The News-Gazette, August 2021. [html]
 
  David Pierce. How Microsoft Designed a Radical Future for Hybrid Meetings. Protocol, June 2021. [html]
 
  Designing the New Hybrid Meeting Experience-for Everyone. Microsoft WorkLab, June 2021. [html]
 
  Khari Johnson. It's True. Everyone Is Multitasking in Video Meetings. Wired, May 2021. [html]
 
  Emily Dreyfuss. It's a Stressful Time. Here's How to Stay Focused at Work. The Information, May 2020. [html]
 
  Paayal Zaveri and Ashley Stewart. Meet the 21 Power Players Who Run Microsoft 365. Business Insider, February 2020. [html]
 
  Jon Axworthy. Can Microtasking Solve the Productivity Puzzle? Raconteur, December 2019. [html]
 
  Jon Friedman. Cracking the Code to Mobile Productivity. Medium, December 2019. [html]
 
  Mary Jo Foley. Microsoft is Giving its Office for iOS and Android Apps a Makeover. ZDNet, December 2019. [html]
 
  Clive Thompson. Microtasks Might Be the Future of White-Collar Work. Wired, November 2019. [html]
 
  Mark Sullivan. In an Era of Distractions, Microsoft Wants AI to Be Your Coworker. Fast Company, September 2019. [html]
 
  Marianna Stark. 2019 Alumni Honors Recipient: Jaime Teevan, PhD '94. San Francisco University High School Journal, September 2019. [html]
 
  Paxtyn Merten. Research Becoming a Bigger Part of Microsoft Products, Bill Gates Says. Puget Sound Business Journal, July 2019. [html]
 
  Paxtyn Merten. Microsoft Doubles Down on AI-driven Products and Jaime Teevan is Leading that Charge. Puget Sound Business Journal (Public Companies Executives to Watch), June 2019. [html]
 
  Annie Chen. Jaime Teevan (TD '98): Technology with People in Mind. Yale Scientific Magazine, May 2019. [html]
 
  Can AI Make Work Seem Less Like, Well, Work? The New York Times (paid post), April 2019. [html]
 
  Anne Stuart. Lighting the Path: Luminaries in Computing and Cognition Discuss Their Journeys and Share Their Insights. MIT News, February 2019. [html]
 
  Kathryn O'Neill. Rising Stars in EECS Supports Women in Electrical Engineering and Computer Science. MIT News, November 2018. [html]
 
  Mary Jo Foley. Microsoft Looks to Bots to Make Employees More Productive. ZDNet, April 2018. [html]
 
  Kurt Schlosser. Geek of the Week: Take a Break, and Read about Jaime Teevan's Microsoft Research on Working Less. GeekWire, January 2018. [html]
 
  Julie Meade. The Computer-Science Researcher Who Wants to Help Automate Your Work Life. New York Magazine, March 2017. [html]
 
  Kaveh Waddell. Why Some Apps Use Fake Progress Bars. The Atlantic, February 2017. [html]
 
  Peter Dunn. Jaime Teevan, SM '01, PhD '07: Using "Slow Search" to Revolutionize Information Work. MIT Technology Review, December 2015. [html]
 
  John Kaiser. CIKM: "Slow Search with People" Highlights Welcoming Keynote. Research News, October 2015. [html]
 
  Is Facebook Use Always Associated with Poorer Body Image and Risky Dieting? ScienceDaily, July 2015. [html]
 
  Douglas Heaven. Computer Comedian Suggests Pics to Make Your Online Chat Funnier. New Scientist, June 2015. [html]
 
  Laura Vanderkam. Women with Big Jobs and Big Families: Balancing Really Isn't That Hard. Fortune, June 2015. [html]
 
  Chris Baraniuk. Press Me! The Buttons that Lie to You. BBC, April 2015. [html]
 
  Kashmir Hill. Tech Companies Are Sending Your Secrets to Crowdsourced Armies of Low-Paid Workers. Fusion, March 2015. [html]
 
  Featured Alumna: Jaime Teevan, PhD '07. MIT EECS Connector, Spring 2015. [pdf]
 
  Hal Hodson. Online Crowd Can Guess What You Want to Watch or Buy. New Scientist, October 2014. [html]
 
  Rob Knies. Researcher Teevan Wins Borg Early Career Award. Inside Microsoft Research, April 2014. [html]
 
  Jaime Teevan Wins the Borg Early Career Award. CRA-W Newsletter, Summer-Fall 2014. [pdf]
 
  Presentations from Women in Computing: Jaime Teevan on Social Media Question Asking. Microsoft Research Profiles of Women in Computing, April 2013. [watch]
 
  Profiles on Women in Computing: Jaime Teevan, Senior Researcher. Microsoft Research Profiles of Women in Computing, April 2013. [watch]
 
  Karla Starr. How to Not Find What You're Looking For. Scientific American Guest Blog, September 2012. [html]
 
  Joab Jackson. ACM CHI: More Search Could Be Crowdsourced. PC World, May 2012. [html]
 
  Laurie Sullivan. Microsoft Releases Predictive Behavior Research. MediaPost, May 2012. [html]
 
  Rob Knies. A Hybrid Approach to Direct Search Answers. Inside Microsoft Research, May 2012. [html]
 
  Janie Chang. Why I Work for Microsoft Research. , September 2011. [html]
 
  Erica Naone. Making Bad Search Results History. MIT Technology Review, February 2011. [html]
 
  Janie Chang. CHI 2010 Highlights Diversity. Microsoft Research Feature, April 2010. [html]
 
  Young Microsoft Innovators Cited by MIT Magazine. Microsoft Press Pass, September 2009. [html]
 
  Kurt Kleiner. Using Personal Information to Improve Search Results. TR35 2009 Young Innovator, MIT Technology Review, August 2009. [html]
 
  Elisabeth Pain. Academia or Industry? Finding the Right Fit. Science Careers, May 2009. [html]
 
  Robert Lemos. Microsoft Searches for Group Advantage. MIT Technology Review, January 2009. [html]
 
  Luca Chittaro. The Disappearing Desktop: An Interview with Jaime Teevan (Microsoft) and William Jones (Univ. Washington). Ile Sole 24 Ore, April 2008. [html]
 
  Anne Zelenka. Who Will Own the Search Experience? GigaOM, October 2007. [html]
 
  Michelle Slatalla. A Narrow Window Into the Future. The New York Times, April 2007. [html]
 
  Celeste Biever. Your Very Own Personal Search Engine. New Scientist, August 2005. [html]

THESES:

  Jaime Teevan. Supporting Finding and Re-Finding Through Personalization. Doctoral thesis, Massachusetts Institute of Technology, February 2007. [pdf, slides]
 
  Jaime Teevan. The Re-Search Engine: Helping People Return to Information in Dynamic Information Environments. Doctoral thesis proposal, Massachusetts Institute of Technology, December 2003. [pdf]
 
  Jaime Teevan. Improving Information Retrieval with Textual Analysis: Bayesian Models and Beyond. Master's thesis, Massachusetts Institute of Technology, May 2001. [pdf]

DOCTORAL CONSORTIA:

  Jaime Teevan. The Re:Search Engine: Helping People Return to Information On the Web. In Proceedings of the ACM Symposium on User Interface Software and Technology (UIST 2005), Seattle, WA, October 2005. [pdf, slides, poster]
 
  Jaime Teevan. The Re:Search Engine: Helping People Return to Information On the Web. In Proceedings of the ACM Conference on Research and Development in Information Retrieval (SIGIR 2005), Salvador, Brazil, August 2005. [pdf, slides]

ABSTRACTS:

  Jaime Teevan. Making Dynamic Lists Appear Static by Preserving the Memorable Aspects. MIT Computer Science and Artificial Intelligence Laboratory Abstract, August 2006. [html]
 
  Jaime Teevan. The Re:Search Engine -- Helping People Return to Information on the Web. MIT Computer Science and Artificial Intelligence Laboratory Abstract, August 2005. [html]
 
  Jaime Teevan. The Re-Search Engine: Re-Finding in Dynamic Information Environments. MIT Computer Science and Artificial Intelligence Laboratory Abstract, March 2004. [pdf]
 
  Mark S. Ackerman, Christine Alvarado, David R. Karger, and Jaime Teevan. The Perfect Search Engine is Not Enough: A Study of Orienteering Behavior in Directed Search. MIT Computer Science and Artificial Intelligence Laboratory Abstract, March 2004. [pdf]
 
  Jaime Teevan and David R. Karger. Empirical Development of an Exponential Probabilistic Model for Text Retrieval. MIT Laboratory for Computer Science Abstract, March 2003. [pdf]
 
  Mark S. Ackerman, Christine Alvarado, David R. Karger, and Jaime Teevan. Surviving the Information Explosion: How People Find Their Electronic Information. MIT Laboratory for Computer Science Abstract, March 2003. [pdf]
 
  Jaime Teevan and David R. Karger. Finding an Exponential Model for Text Retrieval through Textual Analysis. MIT Artificial Intelligence Laboratory Abstract, November 2002. [pdf]
 
  Mark S. Ackerman, Christine Alvarado, David R. Karger, and Jaime Teevan. Surviving the Information Explosion. MIT Artificial Intelligence Laboratory Abstract, November 2002. [pdf]
 
  Mark S. Ackerman, Christine Alvarado, David R. Karger, and Jaime Teevan. Surviving the Information Explosion. MIT Laboratory for Computer Science Abstract, March 2002. [pdf]
 
  Jaime Teevan. Bayesian Model for Information Retrieval. MIT Artificial Intelligence Laboratory Abstract, November 2000. [pdf, ps]
 
  Jaime Teevan. Displaying Dynamic Clusters in Haystack. MIT Artificial Intelligence Laboratory Abstract, September 2000. [pdf, ps]