Modeling and Simulation of
Socio-Technical Systems

The Modeling and Simulation of Socio-Technical Systems (MoST) unit at Fondazione Bruno Kessler researches models and simulations of complex socio-technical systems to support public data-informed decision-making and civic participation. Combining AI and data-based methods, the MoST unit faces major societal challenges in key areas like urban planning, socio-economic inequality, climate neutrality, and public administration.

The group is part of the Digital Society Center, which conducts interdisciplinary research and develops digital technologies to address challenges in areas such as integrative AI, intelligence at the edge, and socio-technical systems. The center fosters collaborations with public administrations, industry partners, and academic institutions to support the digital and green transition and to build a more sustainable society.

As societies face rapid transformations and increasing interdependence between technical and social systems, we envision a future in which digital technologies become essential for society to make sense of complex environmental, social, and technological challenges and transformation processes.

This requires not only more effective and efficient analysis and decision-making tools, but also new approaches to democratize the access to these tools. To this end, we champion a vision in which data-driven systems are open, interpretable, co-designed with the relevant institutions, organizations, and communities.