Full Professor of Mathematics for Economics and social sciences
e-mail: gian.bischi@uniurb.it
University of Urbino "Carlo Bo" - DESP-Department of Economics, Society, Politics
via Saffi n.42  ,  61029 URBINO (Italy)
Home: via Gorizia 12, 61033 Fermignano 
tel. (+39)0722 305553, mobile (+39)333 1866284, home: (+39)0722 330434

CV and research interests

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Gian Italo Bischi

  • Born in Urbino on 31. 01. 1960.  Married to Nadia and father of Matteo
  • 1984. Graduated in Physics, cum laude,  at the Bologna University,  with a thesis on numerical methods in Seismology.
  • 1985-1987. Researcher and teacher at ENI (Italian National Society for Energy).
  • 1987-1994. School Teacher of Mathematics and Physics and research collaborator at the Institute of Biomathematics of Urbino University.
  • 1994-2000. Researcher in Mathematics for Economic Applications at the Faculty of Economics of Urbino University.
  • 1997-2003. Professor of "Mathematical methods for economcs" at the University of Catania.
  • 2000-2002. Associate Professor of Applied Mathematics at the Faculty of Economics of Urbino University.
  • 2002 to present. Full Professor of Applied Mathematics at the Faculty of Economics of Urbino University.

Main research interests

Dynamical Systems (stability, bifurcations and analysis of complex behaviors) and their applications to the modeling of the evolution of Economic, Social, Biological and Physical systems.

Recent research fields include:

  • Discrete Dynamical systems represented by the iteration of noninvertible maps: the study of their  global properties and bifurcations by the method of critical manifolds.
  • Iterated maps with a vanishing denominator and their  global properties related to focal points and prefocal curves.
  • Applications of dynamical systems to the description of economic and financial time evolutions.
  • Existence and stability of equilibria, local and global bifurcations leading to the creation of attractors or basins of attraction with a complex topological structure.
  • Dynamic modeling of the exploitation of natural resources by using the methods of mathematical bioeconomics and game theoretic approaches.
  • Evolutionary games and methods for the study of equilibrium selection problems.
  • Cournot oligopoly games with boundedly  rational players.
  • Problems of multistability (two or more coexisting stable equilibria, or more complex attracting sets) and study of global properties and bifurcatuions of the basins of attraction.
  • Economic models with bounded rationality characterized by learning schemes involving weighted averages of past realizations.
  • Problems of chaos synchronization, on-off intermittency, riddling bifurcations and applications to dynamic symmetric games.
  • Study of global dynamic properties of economic models with learning, with particular emphasis on problems of coexisting attractors and delimitation of the basins of attraction.