posted by organizer: tagiew || 3717 views || tracked by 7 users: [display]

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


When Jul 18, 2016 - Jul 18, 2016
Where Moscow, Russia
Submission Deadline Jun 12, 2016
Notification Due Jun 18, 2016
Final Version Due Jun 30, 2016
Categories    machine learning   data mining   behavioral economics   experimental economics

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.

All accepted papers will be included in the workshop’s proceedings to be published online on the CEUR-Workshop web site in a volume with ISSN and indexed by Scopus. EEML 2012 Proceedings are available at the CEUR-Workshop web site: Second EEML took place in Dallas, TX, USA as a part of the workhsop program of IEEE ICDM 2013. EEML 2013 delivered talks are listed on the workshop website and the proceedings can be downloaded from IEEE Xplore as a part of ICDMW 2013.

Electronic version of full paper complete with authors’ affiliations should be submitted through the conference electronic submission system. Use the submission link
Manuscripts must be prepared with LaTeX or Microsoft Office and should follow the Springer format available at
The maximum number of accepted papers by an individual author that can be covered by the workshop’s registration charge is 3. The papers over 12 pages are not allowed.

Related Resources

ICPR 2018   24th International Conference on Pattern Recognition
ETHE Blearning 2017   Blended learning in higher education: research findings
ICAISC 2018   International Conference on Artificial Intelligence and Soft Computing
PAKDD 2018   The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining
ICPRAI 2018   International Conference on Pattern Recognition and Artificial Intelligence
SDM 2018   SIAM International Conference on Data Mining
COLT 2018   Computational Learning Theory
GECCO 2018   Genetic and Evolutionary Computation Conference
ACM--ICCIP 2017   ACM--2017 the 3rd International Conference on Communication and Information Processing (ICCIP 2017)--Ei Compendex, ISI Web of Science and Scopus
MLDM 2018   14th International Conference on Machine Learning and Data Mining MLDM 2018