EEML 2016 : Third International Workshop on Experimental Economics and Machine Learning

July 18, 2016

Moscow, Russia.

Call for Papers

Workshop concentrates on an interdisciplinary approach to modelling human behavior incorporating data mining and expert knowledge from behavioral sciences. Data analysis results extracted from clean data of laboratory experiments will be compared with noisy industrial datasets from the web e.g.. Insights from behavioral sciences will help data scientists. Behavior scientists will see new inspirations to research from industrial data science. Market leaders in Big Data, as Microsoft, Facebook, and Google, have already realized the importance of experimental economics know-how for their business. 

In Experimental Economics, although financial rewards restrict subjects preferences in experiments, exclusive application of analytical game theory is not enough to explain the collected data. It calls for the development and evaluation of more sophisticated models. The more data is used for evaluation, the more statistical significance can be achieved. Since large amounts of behavioral data are required to scan for regularities, along with automated agents needed to simulate and intervene in human interactions, Machine Learning is the tool of choice for research in Experimental Economics. This workshop is aimed at bringing together researchers from both Data Analysis and Economics in order to achieve mutually-beneficial results. 

Topics

Subject coverage:

• Economic Applications of Machine Learning
• Economic Innovations and Data Mining
• Experimental Economics and Complex Networks
• Econometrics VS Machine Learning & Data Mining
• Human Behavior Modeling and Game Theory
• Innovative applications of Concept Lattices in Economics & Data Mining
• Interdisciplinary Data Science
• Knowledge Discovery in Economics Domain
• Natural Language Processing in Economics Domain
• Machine Learning for Social Sciences
• New Modeling Languages for Economics (Bayes and Markov Nets, Petri Nets etc.)
• Ontologies for Economics
• Real Data Mining Projects

Important Dates

Paper submission: June 12, 2016

                       

Notification of acceptance: June 18, 2016

             

Final manuscripts due: June 30, 2016

User Name : RNarmatha
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