Archaeological Simulation of Social Interactions, mainly between hunter gatherers societies.

Mainly interested in studying social networks of learners, teachers, and innovators. Uses Social Network Analysis, but also sentiment analysis, data mining, and recommender system techniques.

Agent Based Modelling of energy consumer’s awareness diffusion. Role of smart metering in energy consumption. Social norm as limiting factor against rebound effects. Role of behavioral changes in energy efficiency.

The Ph.D. research project is mainly focused on the study of the influence of emotional intelligence inside decision-making processes and on the social and emotional aspects of organizations.Furthermore, the research has taken into account the generative science paradigm: in this way, the general aim is the development of social simulations able to account organizational processes related with emotions and with the emotional intelligence from the bottom-up.

Sociospatial network analysis, geovisualization, GIS algorithms, agent-based complexity modeling, human–environment systems, and urban geography