1st International Conference on “Cliometrics and Complexity”

We are very pleased to announce the 1st international conference on “Cliometrics and Complexity” (CAC) organized by the CAC Team hosted by IXXI, the Complex Systems Institute in Rhône-Alpes (ixxi.fr). Given the multidisciplinary dimension involved in the project, the conference will be devoted to recent developments of complexity in economics, finance and history.

This conference will take place on the 9-10 June 2016, at the “Ecole Normale Supérieure de Lyon”, campus Descartes, 15 Parvis René Descartes, 69007 Lyon, France (F 008). The conference will include plenary sessions with Keynote Speakers and several contributed communications. The present Open-Call is an invitation to submit proposals for contributed papers or sessions.

 

Call for Papers: Complex Dynamics in Economics, Finance and History

The main goal of this conference is to stimulate new approaches to Cliometrics. The interaction between Cliometrics and Complexity raises at least 4 types of issues:

  • Methodological issues, i.e. questions related to the choice of relevant and useful tools and methods.
  • Epistemological issues, i.e. questions that are linked to the way researchers conceive their objects of research and the paradigms attached to them.
  • Issues related to the heuristic scope of these alternative approaches to economic and social systems. More specifically, one of the key questions is how these new approaches enrich our understanding of some key features of these complex systems, such as complex causality, path dependency and irreversibility, emergent properties or self-organization; issues that are not necessarily seized by standard tools and methods.
  • Finally it questions our capacity of producing models which are able to provide relevant prospective and useful expertise to policy-makers.

We want to promote collaborations between disciplines such as Cliometrics, Econometrics, Economic History, History, Social Science, Physics, Mathematics, Information, Data and Computational sciences. We think that the methodological exchanges between different academic fields are fundamentally beneficial for a renewed understanding of the underlying dynamics of historical and social systems and will enrich our knowledge of the past. For example, regarding the methodological aspects, the recent burst in the study of non-linear and/or non-stationary dynamics has led to a significant number of innovative approaches attempting to explain observed deviations from usual properties such as normality, simple correlations.

Regarding the topics, and without any exclusive, the monetary and financial history offers a rich field of investigation for testing tools from complexity. Indeed, history offers us many examples of financial market imperfections, nonlinearities, bubbles, anomalies. Applying these new tools to the understanding of large-scale crises should not be limited to financial and monetary aspects: A session or papers addressing epistemological and methodological aspects of complexity in Cliometrics would be welcome as well as complex approaches to alternative measurement of well-being and human capital. Any paper trying to address cliometrics of growth and development as complex systems evolving through the interaction of numerous factors as inequalities, path dependency, public debt are encouraged. How complex approaches in Cliometrics can enrich our understanding of economic systems, structures, institutions and government, and question standard assumptions and axioms in economics (equilibrium, maximization principle, optimality, efficiency, etc.)?

Papers or Sessions may involve topics including but not limited to: Money and Finance, Crises, Economic Growth and Development, Inequalities, Institutions, Historical Economics, Econometrics, Economic or Financial complexity, Social science. Insights from epistemological, methodological and heuristic views are equally welcome. Tools may come from fields such as Econophysics, Statistics, Non-linear Dynamics, Chaos, Non-stationary signal processing, Complex networks, Information theory, Random matrix theory, Multi-Agent modeling, Causality measurements,... with no limitation either.

   

Program Committee

  • Patrice ABRY (CNRS, LPENSL)
  • Jean-Pascal BASSINO (ENSL, IAO)
  • Guillaume BESLON (INSA de Lyon, Liris)
  • Pierre BORGNAT (CNRS, LPENSL)
  • Camille CORNAND (CNRS, GATE)
  • Fredj JAWADI (Univ. of Evry)
  • Pablo JENSEN (CNRS, LPENSL)
  • Catherine KYRTSOU (Univ. of Macedonia)
  • Pierre LEVIAUX (ISH, CNRS, LAET)
  • Stéphane LOISEL (ISFA)
  • Yannick MALEVERGNE (Univ. St-Etienne, EM Lyon)
  • Antoine PARENT (IEP Lyon, CNRS LAET)

Keynote Speakers

Keynote Speakers have been invited by the organizing Committee to represent different approaches. We have the great pleasure to announce the presence of the following leading scholars:

    Pr Steven DURLAUF,
    Univ. of Maddison, USA
    Field: complexity economics

    Pr Geoffrey HODGSON
    University of Hertfordshire, UK
    Field: Institutional economics

    Pr Michael BORDO
    Rutgers Univ. and NBER, USA
    Field: monetary & financial cliometrics

    Pr Alan KIRMAN
    Aix-Marseille School of Economics, FR
    Field: Computational Economics

    Dr Diego GARLASCHELLI
    University of Leiden, The Netherlands
    Field: Physics & Complexity

Organizing Committe

For CAC:
    Antoine PARENT (Sciences Po Lyon),
    Catherine KYRTSOU (Univ. of Macedonia)
    Fredj JAWADI (Univ. of Evry)

For IXXI:
    Pierre BORGNAT (CNRS, ENS de Lyon)
    Pablo JENSEN (CNRS, ENS de Lyon)

Administrative coordination

Samantha Barendson, IXXI - ENS Lyon

ixxi@ens-lyon.fr

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