The European Physical Journal Special Topics

, Volume 214, Issue 1, pp 361–400 | Cite as

An economic and financial exploratory

  • S. CincottiEmail author
  • D. SornetteEmail author
  • P. TreleavenEmail author
  • S. BattistonEmail author
  • G. CaldarelliEmail author
  • C. HommesEmail author
  • A. KirmanEmail author
Regular Article


This paper describes the vision of a European Exploratory for economics and finance using an interdisciplinary consortium of economists, natural scientists, computer scientists and engineers, who will combine their expertise to address the enormous challenges of the 21st century. This Academic Public facility is intended for economic modelling, investigating all aspects of risk and stability, improving financial technology, and evaluating proposed regulatory and taxation changes. The European Exploratory for economics and finance will be constituted as a network of infrastructure, observatories, data repositories, services and facilities and will foster the creation of a new cross-disciplinary research community of social scientists, complexity scientists and computing (ICT) scientists to collaborate in investigating major issues in economics and finance. It is also considered a cradle for training and collaboration with the private sector to spur spin-offs and job creations in Europe in the finance and economic sectors. The Exploratory will allow Social Scientists and Regulators as well as Policy Makers and the private sector to conduct realistic investigations with real economic, financial and social data. The Exploratory will (i) continuously monitor and evaluate the status of the economies of countries in their various components, (ii) use, extend and develop a large variety of methods including data mining, process mining, computational and artificial intelligence and every other computer and complex science techniques coupled with economic theory and econometric, and (iii) provide the framework and infrastructure to perform what-if analysis, scenario evaluations and computational, laboratory, field and web experiments to inform decision makers and help develop innovative policy, market and regulation designs.

Graphical abstract


European Physical Journal Special Topic Systemic Risk Trading Strategy European Central Bank Markov Chain Monte Carlo Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© EDP Sciences and Springer 2012

Authors and Affiliations

  1. 1.University of GenoaGenoaItaly
  2. 2.ETH ZurichZurichSwitzerland
  3. 3.University College LondonLondonUK
  4. 4.ETH ZurichZurichSwitzerland
  5. 5.IMT Alti Studi Lucca and ISC-CNR RomeRomeItaly
  6. 6.CeNDEFUniversity of AmsterdamAmsterdamThe Netherlands
  7. 7.GREQAM MarseilleMarseilleFrance

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