EconCom 2013 - The ASE HCI Conference on economic computing

1) It has been a long way since Von Neumann first envisioned the computer as a tool for social and economic simulation. Today, there are computers powerful enough to fuel large-scale social and economic computational simulations, design and test economic policy in silico, and forecast economic outcomes. Advances in computing power, alongside new computational methods, promise to overcome some of the current shortcomings that arise in traditional economic modeling - such as the limitations in modeling, predicting and preventing market crashes and downturns, and the limitations imposed by the assumptions of linearity, differentiability and equilibrium.
Scope and Interests
Topics of particular interest include, but are not limited to:
Agent-Based microfoundations of macroeconomic activity
Simulators for macroeconomic policy
Discrete Choice Models in Economics and Management Sciences
Emergence and Dynamics of Norms and Conventions
Financial Market models
Agent-Based Methodological Issues
Dynamics of Social and Economic Networks
Complexity and Market Dynamics
The interaction between Experimental and Computational Economics
Organizations and Management Science
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)
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