• Ido Guy (IBM Reserach - Haifa)
    "Crowdsourcing in the enterprise"

    Bio: Ido Guy manages the Social Technologies group at the IBM Haifa Research Lab, to which he joined in 2000. He started his work as a student at the Verification Technologies and Asset Management groups, and then joined the Collaboration Technologies group in 2004. Ido has led and contributed to various projects around collaboration technologies and social networks architecture, previously to becoming a manager. Under his management, the Social Technologies group develops and studies Web 2.0 and social media technologies, in which people play a key role. The group's current activities focus on the areas of Social Analytics, Social Business Processes, and Crowd Computing. In 2010, Ido received an IBM Corporate Award for his contribution to making IBM a market leader in Enterprise Social Software. He was also one of the major contributors to the Social Computing outstanding scientific accomplishment and received various other technical awards for his contributions to projects around social profiling (Fringe), social network mining (SONAR), and social search and analytics (SaND) Ido holds B.Sc (Software Engineering) and M.Sc (Computer Science) from the Technion, Israel Institute of Technology, both Summa Cum Laude. He is a co-author of over 30 conference and journal papers in the fields of Data Mining, Human-Computer Interaction, Computer-Supported Cooperative Work, Information and Knowledge Management, Information Retrieval, and Recommender Systems. His research work mostly focuses on social media, especially on social network mining and analysis and social recommender systems. Recently, he has also been interested in people search and expertise location, activity stream analysis, and human-computation games. Ido serves on the organizing and program committees of leading conferences including CHI , WWW, and CIKM. He is currently serving as Workshops co-chair for CHI 2012, Industry co-chair for UMAP 2012, and program co-chair for RecSys 2012.

  • Manuel Cebrian (University of California, San Diego)
    Tentative talk topic: TDB

    Bio: Manuel is currently an assistant research scientist with the Department of Computer Science and Engineering at the University of California, San Diego, and a senior research fellow with the Media Laboratory at the Massachusetts Institute of Technology. He received a Ph.D. in computer science from Universidad Autonoma de Madrid (Spain) in 2007. He recently finished a stint as a visiting scientist with the Data Science team at Facebook. Previously, He worked as a junior researcher with the User Modeling Laboratory at Telefonica Research, after a first postdoctoral experience with the Department of Computer Science at Brown University. His work lies at the intersection of the computer and social sciences. His primary interests include social and financial networks, crowdsourcing, consumer research, urban economics, epidemiology, behavioral game theory, and evolutionary dynamics. He is particularly involved in hands-on research in time-critical social mobilization, which is best illustrated by their participation in the 2009 DARPA Network Challenge, the 2011 DARPA Shredder Challenge, and the recent 2012 Department of State Tag Challenge. He shared his concerns on the limits of crowdsourcing in a recent seminar at the Cooperative Association for Internet Data Analysis.

1st International Workshop on Multimodal Crowd Sensing (CrowdSens 2012)
21st ACM International Conference on Information and Knowledge Management (CIKM 2012)
29thOctober-2nd November 2012 | Maui, Hawaii, USA