Dear Colleague,

The 9th SICC International School MODELLING & ANALYSIS OF INNOVATION AND COMPETITION PROCESSES will be held in Milano（Italy）on May 26-30, 2014. The event is co-organized by the Politecnico di Milano and the Italian Society for Chaos and Complexity（SICC）.

http://maicp2014.deib.polimi.it/
http://www.sicc-it.org

Best regards,

Italian Society for Chaos and Complexity
info@sicc-it.org

The 9th SICC International School Topics in Nonlinear Dynamics
MODELLING AND ANALYSIS OF INNOVATION AND COMPETITION PROCESSES

May 26-30, 2014
Politecnico di Milano, Milano, Italy

The aim of the course is to present adaptive dynamics（AD）, a mathematical framework to model long-term evolution of coevolving multi-species communities, with special emphasis on the generation of diversity through evolutionary branching. Evolutionary branching takes place when a resident and a similar mutant type coexist in the same environment and natural selection favors further differentiation between the two types. The evolutionary dynamics are described as a random walk in the space of the coexisting strategies, a space with variable dimension according to evolutionary branching and extinction. Evolution proceeds in the direction of the local fitness gradient and can be approximated by deterministic continuous dynamics ruled by the AD canonical equation. Applications to relevant biological communities, as well as to social and economic sciences, where innovations and competition play the role of mutations and natural selection, will be presented.

The course is part of the teaching activities organized by the PhD Program in Information Technology at Politecnico di Milano, yet it is not only addressed to PhD students, but to all researchers working in any areas of science and engineering and interested in modelling innovation and competition processes. Advanced theoretical topics and cutting-edge applications of AD will be presented in the workshop by the leading scientists in the field. All presentations will be given in English.

Lecturers

• Fabio Della Rossa, Department of Electronics, Information, and Bioengineering, Politecnico di Milano
• Fabio Dercole, Department of Electronics, Information, and Bioengineering, Politecnico di Milano
• Ulf Dieckmann, Evolution and Ecology Program, International Institute for Applied Systems Analysis（to be confirmed）
• Stefan Geritz, Department of Mathematics and Statistics, University of Helsinki
• Mats Gyllenberg, Department of Mathematics and Statistics, University of Helsinki
• Christopher Klausmeier, W. K. Kellogg Biological Station, Michigan State University
• Pietro Landi, Department of Electronics, Information and Bioengineering, Politecnico di Milano
• Géza Meszéna, Department of Biological Physics, Eötvös University, Budapest
• Hans Metz, Mathematisch Instituut, Universitet Leiden
• Kalle Parvinen, Department of Mathematics and Statistics, University of Turku
• Tadeas Priklopil, Department of Mathematics and Statistics, University of Helsinki
• Sergio Rinaldi, Department of Electronics, Information and Bioengineering, Politecnico di Milano

For information and application visit http://maicp2014.deib.polimi.it/