EEML 2013 - International Workshop on Experimental Economics and Machine Learning

As a part of renowned international conferences on different branches of machine learning, this workshop intends to integrate scientists from experimental economics with those from AI & Data Mining. First workshop ? EEML 2012 ? has been successfully accomplished at ICFCA 2012 and we look forward to encourage more and more researchers' interactions from both fields.
In Experimental Economics, laboratory and field experiments are conducted on subjects in order to improve theoretical knowledge about human behavior in interactions. Although paying different amounts of money restricts the preferences of the subjects in experiments, the exclusive application of analytical game theory does not suffice to explain the recorded data. It exacts the development and evaluation of more sophisticated models. The research area additionally includes experiments, where human subjects are involved into an interaction with automated agents. Nowadays experiments are conducted using state-of-art software like z-Tree, which produces huge text data sets.
The more data is used for the evaluation, the more of statistical significance can be achieved. Since huge amounts of behavioral data are required to be scanned for regularities and automated agents are required to simulate and to intervene human interactions, Data Mining is the tool of choice for the research in Experimental Economics. We hope that this workshop associated with the conference and other related workshops will help to gather researchers from data analysis and economic communities in order to gain the beneficial results.
Website: http://eeml2013.hse.ru/
Subject coverage:
Economical Applications of Machine Learning
Economical 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
Machine Learning for Social Sciences
New Modeling Languages for Economics
(Bayes and Markov Nets, Petri Nets etc.)
Ontologies for Economics
Real Data Mining Projects
Workshop chairs
Rustam Tagiew, Qlaym GmbH, Germany
Dmitry Ignatov, National Research University Higher School of Economics, Russia
Fadi Amroush, Granada Lab of Behavioral Economics (GLOBE), Spain
Tentative committee
Aleksandr Karpov, National Research University Higher School of Economics, Russia
Alexander Panchenko, Université catholique de Louvain, Belgium
Antonio Gabriel López Herrera, Department of Computer Science and Artificial Intelligence, Spain
Boris Galitsky, e-Bay Inc, USA
Boris Mirkin, National Research University Higher School of Economics, Russia
Daniel Karabekyan, National Research University Higher School of Economics, Russia
Guido Dedene, Katholieke Universiteit Leuven, Belgium
Heather D. Pfeiffer, USA
Irina Efimenko, National Research University Higher School of Economics, Russia
Jonas Poelmans, Kathoelike Universiteit, Belgium
Leonid Zhukov, National Research University Higher School of Economics, Russia
Malay Bhattacharyya, Indian Statistical Institute, Kolkata, India
Mikhail Khachay, Institute of Mathematics and Mechanics, Ural Branch of RAS, Ekaterinburg, Russia
Mykola Pechenizkiy, Eindhoven Technical University, The Netherlands
Nicola Vitucci, Politecnico di Milano, Italy
Nikolaos Georgantzis,University of Granada & Universitat Jaume I, Spain
Olga Barinova, Moscow State University, Russia
Paul Elzinga, Katholieke Universiteit Leuven, Belgium and Amsterdam-Amstelland police, The Netherlands
Pouya Dehghani Tafti, Qlaym GmbH
Rostislav Yavorskiy, Skolkovo Foundation, Russia
Sergei Kuznetsov, National Research University Higher School of Economics, Russia
Simon Polovina, Sheffield Hallam University, UK
StijnViaene, Vlerick Leuven Management School, Katholieke Universiteit Leuven, Belgium
T.L. Hoang, Eindhoven Technical University, The Netherlands
Vladimir Khoroshevsky, Computing Centre of Russian Academy of Sciences, Russia
Vlado Menkovski, Eindhoven Technical University, The Netherlands
Xenia Naidenova, Military Medical Academy, St. Petersburg, Russia