Network Dynamics in the Social, Economic, and Financial Sciences
Workshop - November 4-8, 2019 - Politecnico di Torino
Department of Mathematical Sciences - MIUR Excellence Project 2018 - 2022
This event is partially supported by the PRIN project "The Dark Side of Networks" (2015592CTH).
It has been recognized as the complexity of social, economic, and financial systems does not depend on their large scale only, but it rather emerges from the architecture and the nature of interactions within the units composing these systems. This workshop will gather some of the leading scientist presenting the most recent successful network dynamics models in this field.
The emergence of global features, learning phenomena, resilience with respect to shocks, optimization, and control are some of the topics that will be covered.
The emergence of global features, learning phenomena, resilience with respect to shocks, optimization, and control are some of the topics that will be covered.
Organising Committee
Giacomo COMO, Politecnico di Torino
Fabrizio DABBENE, Consiglio Nazionale delle Ricerche
Luca DALL'ASTA, Politecnico di Torino
Fabrizio DABBENE, Consiglio Nazionale delle Ricerche
Luca DALL'ASTA, Politecnico di Torino
Schedule
Book of abstracts
Short talks Schedule
Lectures are held in Aula Buzano - Department of Mathematical Sciences (DISMA) - third floor.
Main Talks
Claudio Altafini | Linköping University | Decision-making in interconnected multiagent networks: Roles of frustration and social commitment | |
Francesco Bullo | University of California Santa Barbara | Parsimonious models for opinion dynamics and social balance | |
Ming Cao | University of Groningen | Decision-payoff co-evolutionary dynamics in a closed loop for population games | |
Munther A. Dahleh | Massachusetts Institute of Technology | A marketplace for data: an algorithmic solution | |
Massimo Franceschetti | University of California San Diego | Social network dynamics leading to community formation and residential segregation | |
Paolo Frasca | GIPSA-lab - CNRS | The closed loop between opinion formation and personalised recommendations | |
Michel Grabisch | University of Paris I Panthéon-Sorbonne | A model of anonymous influence with anti-conformist agents | |
Julien M. Hendrickx | Université catholique de Louvain | Open multi-agents models with evolving composition | |
Ali Jadbabaie | Massachusetts Institute of Technology | A theory of misinformation spread on social networks | |
Jan Lorenz | Jacobs University | The triple‐filter bubble: using agent‐based modeling to test a meta‐theoretical framework for the emergence of filter bubbles and echo chambers | |
Francesca Parise | Massachusetts Institute of Technology | Graphon games: a statistical framework for network games and interventions | |
Chiara Ravazzi | Consiglio Nazionale delle Ricerche | Learning hidden influences in large-scale dynamical social networks | |
Agnieszka Rusinowska | Centre d'Economie de la Sorbonne | Diffusion in large networks: is polarization possible? | |
Marco Scarsini | Luiss | The buck-passing game | |
Fernando Vega-Redondo | Università Bocconi | Production and financial networks in interplay: Evidence from supplier-customer and credit registers during the recent crisis |
Special session on Neural Systems and Learning
November 04, 2019
Giuseppe Calafiore | Politecnico di Torino | Sparse ℓ1 and ℓ2 center classifiers | |
Alessandro Chiuso | Università di Padova | Sparse DCM for whole-brain effective connectivity from resting-state fMRI data | |
Sridevi V. Sarma | Johns Hopkins | A distributed push-pull brain network governs human irrationality during gambling | |
Riccardo Zecchina | Università Bocconi | The learning landscape in machine learning |
Short presentations
Registration
Registration is compulsory. Invited speakers and visiting scholars are automatically registered.
The fee of 200 € includes coffee breaks and lunches, and the social dinner.
Entries are collected until October 23, 2019 or the maximum number of participants.
Contacts
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