Team

Interdisciplinary physicist focused on mathematical models to study human social behaviour using network science, statistical physics, and computer science tools. PhD at National University of Mar del Plata (AR), 2018. Currently, her research is focused on Cooperative AI frameworks and their application to complex systems.

Interdisciplinary physicist on complex systems. PhD at University of Parma (IT), 2023. I focused on mathematical models to study urban mobility using network science, stochastic processes and computer science tools. Currently, he is involved in the PNRR HPC National Center Spoke 9 "Digital Society & Smart Cities".

My research analyzes and models social media information and misinformation to improve well-being, and I am a member of the AI4TRUST project, where I collaborate with over 50 researchers across Europe.

Interdisciplinary physicist, somewhere in between complexity science and computational social science. In other words, I like to use simple models to uncover mechanisms behind the patterns I observe in social data. Got my PhD from the IFISC (Spain) in 2023.

Graduated in Physics. I am interested in understanding the emergence of social phenomena from the network science and complex systems perspective. I study how structural properties of networks influence the information processing in social and ecological systems, with a particular focus in epidemic spreading.

Applied mathematician interested in dynamic and statistical models with special focus on sustainability and climate change applications. Her research focuses on graph and hypergraph theory, complex networks, clustering detection and statistical methods. She received a PhD in Mathematics from University of L'Aquila in 2018. After two positions as a postdoctoral researcher she was Senior Data Scientist in Cineca. Currently, she is involved in the Talea project. 

Applied Mathematician, interested in employing mathematical models, statistics and data analysis to investigate real-world phenomena, especially in the context of disinformation and coordinated inauthentic behaviour

Physicist interested in Complex Systems and Human Mobility. I'm studying how to model and control the dynamics of interacting systems that exhibit self-organization and collective behavior with machine learning.

Physicist and complex system scientist. PhD at IFISC (UIB-CSIC, ES), 2020.  I use tools from network theory, statistical physics and stochastic processes to better understand and characterize complex systems. Always ready for innovative and interdisciplinary projects.

Physicist specializing in Complex Systems and Network Science, particularly applied to socio-economic systems and social engineering. Completed a PhD at the University of Catania (Italy) in 2022. Currently, her research is focused on studying the diffusion of false information and the activities of bad actors using complex network analysis, agent-based models, natural language processing, and machine learning.

Physicist by training, now interested in networks and complexity science applied to human mobility and urban systems. Also interested in the interface between deep learning and complex systems.

Interdisciplinary computer scientist with bias towards computational social science. I try to use network science and computational methods to study misinformation and polarization dynamics on social media platforms. I did my PhD from Ca’ Foscari University of Venice (2024).

Physicist by education, my research focus on Urban mobility. I am specializing in data analysis while preserving a fondness on the theoretical aspects of the problem I face.

Graduated in Data Science. I am interested in analysing social dynamics through data and network science. I am working on misinformation, political polarisation and collective attention in online social systems.

I am interested in analyzing cultural and social dynamics by exploring the overlap between network science and Natural Language Processing.

Currently proceeding with my final project in CHuB on the study of human mobility networks. Broadly, interested in problem solving, from the creation of the model to the computation of the solution.

Graduated in Data Science, interested in analyzing and understanding social dynamics through data, networks and mathematical modeling. Current focus on misinformation diffusion and virality evaluation on online social media.

PhD candidate at Center for Internet and Society (CNRS, FR). I am interested in computational social sciences and more specifically in platform dynamic and online behaviour. 

PhD Candidate in Computational Communication Studies at the IT University of Copenhagen. Holds a BA in Sociology and an MSc in Data Science. His research focuses on understanding social media's polarization and communication dynamics using Network Science and NLP.

PhD candidate in Sociology at Institut Polytechnique de Paris, CNRS (France). I study the social processes underpinning inaccurate or harmful information sharing on social media, using a range of computational tools in network and data science.

Master's degree student in statistics interested in data analysis. In particular, I would like to understand how statistical models and data can be used to explain real-world phenomena. 

Graduated in Physics then pursued a Master's in Artificial Intelligence applied to Complex Systems. My research focuses on applying Graph Neural Networks to urban networks, using AI to analyze and model complex structures in everyday-life scenarios.

Applied mathematician focused on data analysis, with a particular interest in graph theory and statistical modeling.