Research | C2S2

Human and social behavior: routines, habits, mobility

Mon, 01 Jan 0001 00:00:00 +0000

The C2S2 investigates how individuals navigate their daily lives by analyzing patterns in individual routines, habits, and mobility. Using large-scale digital traces—from mobile phone data, IoT and IoB sensors, and social platforms—the Center explores how people move through social, physical, and online spaces, adapt to changing environments, and develop habitual behaviors. These insights help reveal how individual decisions aggregate into broader social patterns, with implications for social dynamics, political, economic, and productive systems, urban planning, transportation systems, and behavioral interventions.

Meet our researchers · Explore our events

Collective behavior and action: democracy, decision making, cultural and social dynamics

Mon, 01 Jan 0001 00:00:00 +0000

Understanding how groups form opinions, make decisions, and engage in democratic processes is a central focus of the C2S2. The Center studies how collective behavior and action emerge from interactions among individuals, particularly in contexts such as political participation, cultural evolution, and online communities. By using generative AI and deep learning models, as well as complex systems, network analysis, agent-based modeling, and behavioral data, the Center examines the mechanisms that drive consensus, polarization, cooperation, and the spread of information in society, with a particular focus on the increasing role of generative AI in shaping these processes.

Meet our researchers · Explore our events

Demography, social inequalities, labour market, and welfare systems dynamics

Mon, 01 Jan 0001 00:00:00 +0000

The C2S2 addresses key societal challenges by analyzing demographic trends, economic disparities, and the evolving nature of work and welfare. Using quantitative and computational methods, the Center investigates how social inequalities are produced and reproduced across different populations, and how labor markets and welfare systems respond to technological, demographic, and policy changes. Special attention is paid to demographic behaviour, including household formation, fertility, and population ageing. This research informs evidence-based strategies for promoting social equity and inclusive development.

Meet our researchers · Explore our events

Computational epidemiology and public health

Mon, 01 Jan 0001 00:00:00 +0000

At the intersection of data science and public health, the C2S2 conducts research on the spread of diseases, health behaviors, and population-level interventions. Through computational modeling, real-time data analysis, and simulations, the Center studies how health dynamics unfold in society, especially in response to pandemics, vaccination campaigns, and behavioral risk factors. Furthermore, the C2S2 investigates the potential role of AI in addressing pandemic preparedness, infectious disease modeling, and public health interventions, as well as in simulating population dynamics and human behaviors. This work supports public health decision-making and aims to enhance societal resilience through proactive and data-driven strategies.

Meet our researchers · Explore our events