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Notice

AISB event Bulletin Item

CALL FOR PAPERS International Workshop on Experimental Economics and Machine Learning, Dec 8 2013, Dallas, Texas, USA

http://eeml2013.hse.ru/

In conjunction with IEEE ICDM 2013

As a part of renowned international conferences on different branches of machine learning, this 
full-day workshop intends to integrate scientists from experimental economics with those from AI. 
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. The anticipated target 
groups of attendees are the Experimental Economics researchers seeking for more efficiency in 
their research
and the Data Mining researchers seeking for real world data beyond academic toy problems.

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, Machine Learning 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 
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, Universit catholique de Louvain, Belgium
Antonio Gabriel Lpez 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, Germany
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

Important dates :

July 20, 2013:  Due date for abstracts 
August 3, 2013:  Due date for full workshop papers 
September 24, 2013:  Notification of paper acceptance to authors 
December 8, 2013:  Day of workshop 
Registration :

All attendees to the workshop are required to register as participants of IEEE ICDM 2013. 
Information regarding registration will soon be made available by the conference organization 
on the conference site: http://icdm2013.rutgers.edu/. 


Best Regards