Seminar

PROTON-T seen as an experience of stakeholder-driven cooperative modeling
PROTON-T seen as an experience of stakeholder-driven cooperative modeling

18/Jan/2022
18/Jan/2022

Speaker:

Mario Paolucci
Mario Paolucci

Institution:

IRPPS-CNR, Italy
IRPPS-CNR, Italy

Language :

EN
EN

Type :

Webinar
Webinar

Description:

We developed a model of recruitment to terrorism based on Social Structure Social Learning Theory (SSSL), Routine Activities Theory (RAT) and Situational Action Theory (SAT). Using real-world data, our experiments were enacted in a proto-typical European city borough. After introducing the model and its main results, we critically discuss the decisions taken from the point of view of calibration vs. arbitrary decisions, theory vs. mechanisms, and cost/benefit of modeling choices.

Mario Paolucci is a Senior Researcher with the Italian National Research Council (CNR). Mario received a degree in Physics from the Sapienza University of Rome, under the supervision of Antonio Degasperis, and a PhD from the University of Florence, carrying out research activity with Rosaria Conte and Cristiano Castelfranchi. Mario has been co-PI together with Giulia Andrighetto of the Laboratory of Agent-based Social Simulation (LABSS), located at ISTC. He has been scientific coordinator and PI of EC projects (eRep, FuturICT 2.0 (https://futurict2.eu/)). He is also author of about 100 scientific publications, among which a monograph on Reputation written with Rosaria Conte, and articles on peer-reviewed journals such as Advances in Complex Systems, Scientometrics, and the International Journal of Approximate Reasoning.

We developed a model of recruitment to terrorism based on Social Structure Social Learning Theory (SSSL), Routine Activities Theory (RAT) and Situational Action Theory (SAT). Using real-world data, our experiments were enacted in a proto-typical European city borough. After introducing the model and its main results, we critically discuss the decisions taken from the point of view of calibration vs. arbitrary decisions, theory vs. mechanisms, and cost/benefit of modeling choices.

Mario Paolucci is a Senior Researcher with the Italian National Research Council (CNR). Mario received a degree in Physics from the Sapienza University of Rome, under the supervision of Antonio Degasperis, and a PhD from the University of Florence, carrying out research activity with Rosaria Conte and Cristiano Castelfranchi. Mario has been co-PI together with Giulia Andrighetto of the Laboratory of Agent-based Social Simulation (LABSS), located at ISTC. He has been scientific coordinator and PI of EC projects (eRep, FuturICT 2.0 (https://futurict2.eu/)). He is also author of about 100 scientific publications, among which a monograph on Reputation written with Rosaria Conte, and articles on peer-reviewed journals such as Advances in Complex Systems, Scientometrics, and the International Journal of Approximate Reasoning.