Since 1999 the ACM Special Interest Group on Electronic Commerce (SIGecom) has sponsored the leading scientific conference on advances in theory, systems, and applications for electronic commerce.

The Thirteenth ACM Conference on Electronic Commerce (EC'12) will feature invited speakers, paper presentations, workshops, and tutorials covering all areas of electronic commerce.

The conference will be held from Monday June 4, 2012 through Friday June 8, 2012 in Valencia, Spain and will be co-located with the AAMAS 2012 conference. Accepted technical papers and invited talks will be presented from June 4 through June 6; tutorials and workshops will be held on June 7 and June 8.

The natural focus of the conference is on computer science issues, but the conference is interdisciplinary in nature, including research in economics and research related to (but not limited to) the following three non-exclusive focus areas:

Theory and Foundations (Computer Science Theory; Economic Theory)
Artificial Intelligence (AI, Agents, Machine Learning, Data Mining)
Experimental and Applications (Empirical Research, Experience with E-Commerce Applications)

Authors can designate a paper for one, two, or all three of these focus areas. Each area has dedicated SPC and PC members, allowing reviewers to come from the area(s) to which a paper was submitted; e.g., a paper submitted to the “Experimental and Applications” area will be reviewed by SPC and PC members in that area only; a paper submitted to both “Theory” and “AI” will be handled by the most qualified reviewers in the union of these two areas.

We are committed to accepting papers of the very highest quality on all aspects of electronic commerce and regardless of area. If we receive a large number of such submissions we will hold some sessions in parallel, grouping these sessions by topic rather than by area. Example topics of interest include:

Auction Theory
Bargaining and Negotiation
Behavioral Models
Computational Game Theory
Computational Social Choice
Consumer Search and Online Behavior
Crowdsourcing and Collective Intelligence
Data Mining
Econometrics
Economics of Information
Equilibrium Computation
Experience with E-Commerce Systems and Markets
Foundations of Incentive Compatibility
Game-Theoretic Models of E-Commerce and the Internet
Information Elicitation
Machine Learning
Market Equilibrium
Matching
Mechanism Design
Platforms and Services
Prediction Markets
Preferences and Decision Theory
Privacy Technologies
Recommender Systems
Reputation and Trust Systems
Revenue Optimization, Pricing, and Payments
Social Networks
Sponsored Search and other Electronic Marketing
Trading Agents
Usability and Human Factors in E-Commerce Applications
User-Generated Content and Peer Production