Complex Systems & Artificial Intelligence Research Center

University of Milano-Bicocca

in collaboration with

ALIAS (Higher Education and Internationalization for the Ageing Society) - Fondazione CARIPLO




Lake Como School of Advanced Studies

International Summer School


The Complexity of Crowd Dynamics: 

analysis, modeling, simulation

Villa del Grumello – Como (ITALY)

September 15-19, 2014



Stefania Bandini

Complex Systems & Artificial Intelligence Research Center

University of Milano-Bicocca


Sara Manzoni, Giuseppe Vizzari

Complex Systems & Artificial Intelligence Research Center

University of Milano-Bicocca


The study of the complex dynamical behavior of crowd and pedestrians is becoming an attractor of scientific and application interest. Moreover, the role of innovative technologies supporting the computer-based simulation and analysis of people flows scenarios is producing a revolution in the design and optimization of public and private collective spaces in order to offer safe, secure and comfortable fruition of spaces and events to the citizens and innovative solution for crowd managers. The scientific framework of the Science of Complex Systems only recently offered a reference for the convergence of interdisciplinary knowledge about crowd and pedestrian dynamics phenomena, allowing the development of advanced computational models and solutions. Crowd understanding calls for both contributions from the humanities (e.g. anthropology, psychology, sociology, architecture) as well as the hard sciences (e.g. physics, engineering, applied mathematics, computer science). Theoretical contributions require evaluation and expertise from field observations and experience.

The main purpose of the School is to collect, in an intensive and pleasant context, scholars, experts, students and practitioners, decision makers, crowd and security managers, and designers of collective space for big events to provide a comprehensive picture of the different facets, disciplines, methods and techniques that, in a different way, contribute to the overall understanding of the phenomenon and the possibility to manage it. Without such a complete and multi-faceted comprehension of the complexity of crowd dynamical behavior it is not realistic to pretend to face the actual challenges of the planning, organization, management of collective events and environments subject to significant crowding conditions. This perspective is a mandatory element of higher level strategies such as those for achieving resilience against disasters, supporting big events (e.g. concerts, sport, religious, large expositions, gatherings), management of facilities and transports in a smart city perspective, implementation of age friendly city policies. In particular, this crucial background global trend will be discussed in the context of the final day of the School which will be organized in collaboration with the ALIAS project dedicated to the Ageing Society.

The organization of the courses includes both a presentation and discussion of the most advanced theories, models, case studies and contributions from the different relevant disciplines, which will also propose the current research challenges and open issues, as well as concrete case studies related to research and application projects. Participants will be asked to actively contribute in the discussions and PhD students will be required to develop a final project proposing a novel integrated research or application proposal exploiting the knowledge and information acquired throughout the courses.


Stefania Bandini 

Complex Systems & Artificial Intelligence Research Center

University of Milano-Bicocca - ITALY

Viola Cavallo 

French Institute of Science and Technology for Transportation, Development and Networks

Versailles - FRANCE

Florian Coulmas 

German Institute for Japanese Studies

Tokyo - JAPAN

Fabrizia Mantovani

Department of Human Sciences for Education

University of Milano-Bicocca - ITALY

Katsuhiro Nishinari

Research Center of Advanced Science and Technology 

The University of Tokyo - JAPAN

Majid Sarvi

Institute of Transport Studies

Monash University, Melboune - AUSTRALIA

Armin Seyfried 

Institute for Advanced Simulations 

Julich - GERMANY

Mubarak Shah

Center for Research in Computer Vision

University of Central Florida - USA

Georgios Sirakoulis

Department of Electrical & Computer Engineering

Democritus University of Thrace - GREECE

Simone Sterlacchini

Institute for the Dynamics of Environmental Processes

National Research Council of Italy


Stefania Bandini (University of Milano-Bicocca - ITALY)

Viola Cavallo (IFSTTAR - FRANCE)

Simone Calderara (University of Modena - Reggio Emilia - ITALY)

Rita Cucchiara (University of Modena - Reggio Emilia - ITALY)

Barbara Diana (University of Milano-Bicocca - ITALY)

Mizar Luca Federici (CROWDYXITY s.r.l. - ITALY)

Andrea Gorrini (CROWDYXITY s.r.l. - ITALY)

Hiroko Kudo (Chuo University, Tokyo - JAPAN)

Gregor Lammel (Institute for Advanced Simulations, Julich - GERMANY)

Eugenio Morello (Politecnico di Milano - ITALY)

Barbara Piga (Politecnico di Milano - ITALY)

Olivia Realdon (University of Milano-Bicocca - ITALY)

Majid Sarvi (Monash University, Melbourne - AUSTRALIA)

Carla Sedini (Politecnico di Milano - ITALY)

Kenichiro Shimura (The University of Tokyo - JAPAN)

Giuseppe Vizzari (University of Milano-Bicocca - ITALY)

Ulrich Wagoum (Institute for Advanced Simulations, Julich - GERMANY)

Francesco Zurlo (Politecnico di Milano - ITALY)