Mathematical and Computational Evolutionary Biology 2016

MCEB 2016 - Mathematical and Computational Evolutionary Biology
12-16 June 2016 - Hameau de l'Etoile, Montpellier, South of France.

Official webpage: http://www.lirmm.fr/mceb2016/

Scope: Mathematical and computational tools and concepts form an essential basis for modern evolutionary studies. The goal of the MCEB conference (at its 8th edition) is to bring together scientists with diverse backgrounds to present recent advances and discuss open problems in the field of mathematical and computational evolutionary biology. The theme of this year’s edition will be "forecasting evolution": while most analyses are designed to reconstruct the past in order to understand evolution, our modern society is in dire need of anticipating the future using sound scientific approaches. This is particularly true in the context of global warming and more generally global changes. New approaches that model future evolution are emerging, for example to predict epidemics, evolution of cancer, shifts in species/population distributions or species loss.
Evolutionary biology is thus widening its focus, trying to predict future biological states and better define the range of applicability of these predictions. Making progress in this new research area will involve cross-disciplinary approaches, accurate statistical methods, and powerful computational techniques. Beyond this year’s theme, general concepts, models, methods and algorithms will be presented and discusse, just as in the previous editions of MCEB. Keynote speakers will introduce a field of research and discuss their own work in this field. Afternoon will be for short presentations and posters, with plenty of time for discussions and outdoors.

Cost: Conference fees including accommodation for four nights, meals,coffee breaks, buses, etc., will be between 300€ and 550€, all inclusive, and will vary depending on the room. PhD students and postdocs will benefit of the cheapest rooms.

Keynote speakers :

  • Jeffrey Jensen
    Ecole Polytechnique Fédérale de Lausanne, CH
  • Laura S. Kubatko
    Departments of Statistics and Evolution, Ecology, and Organismal Biology - The Ohio State University, USA
  • Amaury Lambert
    Stochastics & Biology Group - Laboratoire de Probabilités & Modèles Aléatoires - UPMC - Université Paris 06, FR
  • Richard Neher
    Max Planck Institute for Developmental Biology - DE
  • Bruce Rannala
    UC Davis - University of California, USA
  • Isabel Sanmartín Bastida
    Real Jardín Botánico (RJB-CSIC), Madrid, SP

For more information and register: http://www.lirmm.fr/mceb2016/