会议信息

EconCom 2014: International Conference on Economic Computing

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EconCom
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截稿日期:
2014-04-30
通知日期:
2014-06-05
会议日期:
2014-08-04
会议地点:
Beijing, China
届数:
2
浏览: 16298   关注: 0   参加: 0

会伴指数 (CP-I)

38.0 / 100
全站第 5,407 名 / 共 5,682 个会议 · 前 96%

管理与社会科学 第 65 / 73

学术认可 (35%) 无数据 —— 按中性基准 50 分计入
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入
会议传承 (20%)
30
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次:2 · 过去 24 个月打开过本页的研究者:2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-20

征稿

EconCom 2014 (International Conference on Economic Computing) is an academic conference held in Beijing, China on 2014-08-04. The paper submission deadline is 2014-04-30. Acceptance notifications are sent on 2014-06-05.

Economic Computing conference is a premier international forum for economic computing researchers, practitioners, developers, and users to explore and exchange the newest economic computing ideas, breakthroughs, findings, techniques, tools, and experiences. We invite submissions from academia, government, and industry presenting novel research on all theoretical and practical aspects of economic computing. Areas of interest for EconCom 2014 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
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