I am a researcher in the Adaptive Systems and Interaction group at Microsoft Research, Redmond. My research interests include human-computer collaboration, decision-making under uncertainty, and mechanism design with a focus on real-world applications that bring people and adaptive agents together. I am in particular interested in building collaborative systems for assisting users in mobile domains and for solving crowdsourcing tasks.
I received a Ph.D. in computer science from Harvard University in 2010. My thesis focused on reasoning under uncertainty for successful human-computer teamwork. I received a M.S. from Harvard University in 2007 and a B.S. from Sabanci University in Turkey in 2005.
For more information, please visit my webpage at: http://research.microsoft.com/en-us/um/people/eckamar/
- Walter S. Lasecki, Jaime Teevan, and Ece Kamar, Information Extraction and Manipulation Threats in Crowd-Powered Systems, in CSCW 2014, ACM – Association for Computing Machinery, February 2014.
- Stephanie Rosenthal, Dan Bohus, Ece Kamar, and Eric Horvitz, Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence, International Joint Conference on Artificial Intelligence, August 2013.
- Andrew Mao, Ece Kamar, and Eric Horvitz, Why stop now? predicting worker engagement in online crowdsourcing, in First AAAI Conference on Human Computation and Crowdsourcing, March 2013.
- Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E Schwamb, Chris J Lintott, and Arfon M Smith, Volunteering versus work for pay: Incentives and tradeoffs in crowdsourcing, in First AAAI Conference on Human Computation and Crowdsourcing, March 2013.
- Ece Kamar, Severin Hacker, Chris Lintott, and Eric Horvitz, Combining Human and Machine Intelligence in Large-Scale Crowdsourcing: Principles, Methods, and Studies, no. MSR-TR-2012-58, 4 June 2012.
- Ece Kamar and Eric Horvitz, Incentives for Truthful Reporting in Crowdsourcing, AAMAS , 2012.
- Ece Kamar, Severin Hacker, and Eric Horvitz, Combining Human and Machine Intelligence in Large-scale Crowdsourcing, AAMAS , 2012.
- Ece Kamar and Eric Horvitz, Jogger: Models for Context-Sensitive Reminding, The Tenth International Conference on Autonomous Agents and Multiagent Systems, 2011.
- Ece Kamar and Eric Horvitz, Investigation of Principles of Context-Sensitive Reminding, no. MSR-TR-2010-174, October 2010.
Recent Professional Activities
- Program Committee Member, HCOMP 2012
- Program Committee Member, UAI 2011, 2012
- Reviewer, CSCW 2012
- Senior Program Committee Member, IJCAI 2011
- Committee Member, AAMAS 2011,2012
- Program Committee Member, IUI 2010
- Program Committee Member, Mixed-Initiative Multi-agent Systems Workshop, AAMAS 2009