Contact information:
One Microsoft Way, Redmond WA 98052-6399
Email: eckamar@microsoft.com

 
              Ece Kamar

       Researcher, Microsoft Research

 


 


      

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, probabilistic reasoning 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 interactive systems 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.

I am the recipient of Microsoft Research Fellowship (2008) and Robert L. Wallace Prize Fellowship (2007).

 

My research was profiled in Microsoft External Research "Talent Pipeline" brochure and video. (pdf) (link to website)

 

 

      Publications

       

Walter Lasecki, Jamie Teevan and Ece Kamar. Information Extraction and Manipulation Threats in Crowd-Powered Systems. In Proceedings of CSCW 2014.

 

Walter Lasecki, Ece Kamar and Dan Bohus. Conversations in the Crowd: Collecting Data for Task-Oriented Dialog Learning. In Proceedings of the Human Computation Workshop on Scaling Speech and Language Understanding and Dialog through Crowdsourcing at HCOMP 2013.

 

Andrew Mao, Ece Kamar, Yiling Chen, Eric Horvitz, Megan E. Schwamb, Chris J. Lintott, and Arfon M. Smith. Volunteering vs. Work for Pay: Incentives and Tradeoffs in Crowdsourcing. In Proceedings of HCOMP 2013.

 

Andrew Mao, Ece Kamar, and Eric Horvitz. Why Stop Now? Predicting Worker Engagement in Online Crowdsourcing. In Proceedings of HCOMP 2013.

 

Ece Kamar, Ashish Kapoor and Eric Horvitz. Lifelong Learning for Acquiring the Wisdom of the Crowd. In Proceedings of IJCAI 2013.

 

Stephanie Rosenthal, Dan Bohus, Ece Kamar and Eric Horvitz. Look versus Leap: Computing Value of Information with High-Dimensional Streaming Evidence. In Proceedings of IJCAI 2013.

 

Ece Kamar and Eric Horvitz. Light at the End of the Tunnel: A Monte Carlo Approach to

Computing Value of Information. In Proceedings of AAMAS 2013.

 

Ece Kamar, Ya’akov (Kobi) Gal and Barbara J. Grosz. Modeling Information Exchange Opportunities For Effective Human-Computer Teamwork. In Artificial Intelligence Journal, 2013.

 

Ece Kamar, Severin Hacker and Eric Horvitz. Combining Human and Machine Intelligence in Large-scale Crowdsourcing. In Proceedings of AAMAS 2012.

 

Dan Bohus, Ece Kamar and Eric Horvitz. Towards Situated Collaboration. In NAACL Workshop on Future Directions and Challenges in Spoken Dialog Systems: Tools and Data, 2012.

 

William Wang, Dan Bohus, Ece Kamar and Eric Horvitz. Crowdsourcing the Acquisition of Natural Language Corpora: Methods and Observations. In Proceedings of SLT 2012.

 

Ece Kamar and Eric Horvitz. Incentives for Truthful Reporting in Crowdsourcing. In Proceedings of AAMAS 2012, Short paper.

 

Ece Kamar and Eric Horvitz. Incentives and Truthful Reporting in Consensus-centric Crowdsourcing. Microsoft Research Technical report, MSR-TR-2012-16, February 2012.

 

Paul Bennett, Ece Kamar and Gabriella Kazai. MSRC at TREC 2011 Crowdsourcing Track. In Proceedings of TREC 2011.

 

Ece Kamar and Eric Horvitz. Jogger: Models for Context-Sensitive Reminding. In Proceedings of AAMAS 2011, Short paper.

 

Ece Kamar and Eric Horvitz. Investigation of Principles of Context-Sensitive Reminding. Microsoft Research Technical report, MSR-TR-2010-174, October 2010.

 

Ece Kamar. Reasoning Effectively Under Uncertainty for Human-Computer Teamwork. Ph.D. Thesis, Harvard University, May 2010.

 

Ece Kamar, Ya’akov Gal and Barbara J. Grosz. Modeling User Perception of Interaction Opportunities for Effective Teamwork. SIN09, In Proceedings of IEEE SocialCom 2009.  

 

Ece Kamar and Eric Horvitz. Collaboration and Shared Plans in the Open World: Studies of Ridesharing. IJCAI 2009, Technical Paper

 

Ece Kamar and Eric Horvitz. Generating Shared Transportation Plans Under Varying Preferences: Ridesharing Models and Mechanisms. Microsoft Research Technical report, MSR-TR-2009-2011, April 2009.

 

Ece Kamar. Managing Helpful Behavior in Collaborative Activities of Heterogeneous Agent Groups. IJCAI 2009, Doctoral Consortium Abstract

 

Ece Kamar, Ya’akov Gal and Barbara J. Grosz. Incorporating Helpful Behavior into Collaborative Planning. In Proceedings of AAMAS 2009.  

 

Ece Kamar, Eric Horvitz and Chris Meek. Mobile Opportunistic Commerce: Mechanisms, Architecture, and Application. In Proceedings of AAMAS 2008. 

 

Ece Kamar, Barbara J. Grosz and David Sarne. Modeling User Perception of Interaction Opportunities in Collaborative Human-Computer Settings. In Proceedings of AAAI 2007, Student Abstract and Poster Program

 

Ece Kamar and Barbara J. Grosz. Applying MDP Approaches For Estimating Outcome of

Interaction in Collaborative Human-Computer Settings. In Proceedings of Workshop on Multi-agent Sequential Decision Making in Uncertain Domains (MSDM) 2007.

 

     

   Professional Activities

·         Senior Program Committee Member, AAMAS 2014

·         Program Committee Member, AAAI 2013, 2014

·         Program Committee Member, WWW, 2014

·         Program Committee Member, UAI 2011, 2012, 2013

·         Program Committee Member, HCOMP 2012, 2013

·         Reviewer, IUI 2012, 2013

·         Reviewer, CHI 2013

·         Program Committee Member, AAMAS 2011,2012

·         Program Committee Member, HCOMP 2012

·         Reviewer, CSCW 2012

·         Senior Program Committee Member, IJCAI 2011

·         Program Committee Member, IUI 2010

·         Program Committee Member, Mixed-Initiative Multi-agent Systems Workshop, AAMAS 2009