Lake Como School of Advanced Studies

International Summer School


PhD SCHOOL OF THE UNIVERSITY OF MILANO-BICOCCA

Department of Computer Science, Systems and Communication

Department of Economics, Management and Statistics

Department of Statistics and Quantitative Methods


                                                             In collaboration with the

                                                 Research Center for Advanced Science and Technology

                                                 (The University of Tokyo, JAPAN)

                                                  



ADVANCES IN COLLECTIVE INTELLIGENCE

CROWDS, BIG-DATA AND COMMUNITY RESILIENCE


Villa del Grumello – Como (ITALY)

September 18-22, 2017


The past few years have seen a growing popularity and maturity of collective intelligence research, enabled by advances in information technology and complex systems sciences. Collective intelligence is defined as a shared or group intelligence emerging from the collaboration, collective efforts, and competition of many agents (human or artifacts). The discipline intrinsically grows in a cross-disciplinary research, involving computer science, cognitive science, political science, economics, organization theory, sociobiology, crowd and network sciences. Moreover, big-data research and applications create new opportunity to develop the design of new perspectives for the growth of collective intelligence towards many complex systems and organizations. The main purpose of the School is to enable participants to the most relevant issues and tools supporting new research and application scenarios involving collective intelligence, focusing on the main topics of crowds (from crowdsourcing to crowd management), big-data (large and complex data sets coming from distributed sources to be dealt with innovative data processing application software), and community resilience (sustained ability of a community to utilize available resources to respond to, withstand, and recover from adverse situations).

 

CHAIRS

 

Stefania Bandini

Department of Computer Science, Systems and Communication (University of Milano-Bicocca)

 

Matteo Manera

Department of Economics, Management and Statistics (University of Milano-Bicocca)

 

Mario Mezzanzanica

Department of Statistics and Quantitative Methods (University of Milano-Bicocca)

 

Katsuhiro Nishinari

Research Center of Advanced Science and Technology (The University of Tokyo)


LECTURERS


Simone Bianco

Department of Computer Science, Systems and Communication - University of Milano-Bicocca (Italy)


Carlo Biasior

Center for Research and Protection of Consumers, Trento (Italy)


Federico Cabitza

Department of Computer Science, Systems and Communication - University of Milano-Bicocca (Italy)


Mirko Cesarini

Department of Statistics and Quantitative Methods - University of Milan-Bicocca (Italy)


Florian Coulmas

IN-EAST Institute of East Asian Studies - University if Duisburg Essen (Germany)


Elisabetta Fersini

Department of Computer Science, Systems and Communication - University of Milano-Bicocca (Italy)


Marco Guerzoni

Department of Economics and Statistics “Cognetti de Martiis”, University of Torino (Italy)


Hiroko Kudo

Chuo University, Tokyo (Japan)


Daniele Magazzeni

King’s College London (UK)


Fabio Mercorio

Department of Statistics and Quantitative Methods - University of Milan-Bicocca (Italy)


Massimiliano Nuccio

DESPINA - Big Data Lab, University of Torino (Italy)


Matteo Palmonari

Department of Computer Science, Systems and Communication - University of Milano-Bicocca (Italy)


Antonio Picariello

University of Naples “Federico II” & CINI ITEM National Lab (Italy)


Gianluigi Viscusi

École Polytechnique Fédérale de Lausanne (EPFL), College Of Management (CDM), Chair of Corporate Strategy and Innovation (CSI), Lausanne (Switzerland)


ORGANIZATION CHAIR


Andrea Gorrini

Department of Computer Science, Systems and Communication - University of Milano-Bicocca (Italy)