I am interested in the convergence of the digital and the physical driven by the adoption of personal networked devices, wearable sensors and the ensuing multiplication of behavioral proxies. I work with data on digitally-sensed/mediated human behaviors, targeting research questions in computational social science and digital epidemiology. I use concepts and models from complex systems science and network science together with methods from data mining and machine learning.
Behavioral Social Networks. I am a founder and PI of the SocioPatterns international collaboration, that uses wearable proximity sensors to map human spatial behavior in a variety of environments such as schools, hospitals, offices and social gatherings. During the last 5 years we have designed and supervised over 25 data collection campaigns in 10 countries, involving over 50,000 subjects. The resulting large-scale datasets, partially shared with the public, are used to investigate human mobility, time-varying complex networks, homophily in social networks and more.
Digital Epidemiology. I am interested in measuring high-resolution contact networks and integrating them into computational models of infectious disease dynamics. In the context of the SocioPatterns collaboration we have measured high-resolution human contact networks in schools and hospitals, building computational models of flu-like disease spread and designing mitigation strategies and summarized data representations for structured populations.
Online Social Networks and Web Science. I carry out research on collaborative tagging systems, on information networks from social annotations, on the relation between information networks and human semantics, and on topic popularity. I am interested in the use of tensor decompositions for signal extraction in time-varying networks, with applications to topic detection in information streams and structure detection in time-varying networks. I am a founder and PI of the DataInterfaces collaboration, that uses state-of-the-art Web technologies to connect data and people.
- [co-founder, co-PI] SocioPatterns
- [co-founder, co-PI] DataInterfaces ‐ interfaces between data and people
- CX-NETS Complex Networks Collaboratory
- CS4HS WHO Collaborating Center on Complexity Science for Health Systems
- Advisor at The Data Guild
Group at ISI
- Multiplex - Foundational Research on Multi-level Complex Networks
- PREDEMICS - Preparedness, Prediction and Prevention of Emerging Zoonotic Viruses
- KNOWeSCAPE - Analyzing the Dynamics of Information and Knowledge Landscapes
- StudioLab - a European Platform for Creative Interactions between Art and Science
M.C. Kiti, M. Tizzoni, T.M. Kinyanjui, D.C. Koech, P.K. Munywoki, M. Meriac, L. Cappa, A. Panisson, A. Barrat, C. Cattuto, D. James Nokes
Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors
EPJ Data Science 5(1), 1 (2016)
M. Génois, C. L. Vestergaard, C. Cattuto, A. Barrat
Compensating for population sampling in simulations of epidemic spread on temporal contact networks
Nature Communications 6, 8860 (2015)
N. Voirin, C. Payet, A. Barrata, C. Cattuto, N. Khanafera, C. Régisa, B. Kima, B. Comte, J.-S. Casalegno, B. Lina and P. Vanhems
Combining High-Resolution Contact Data with Virological Data to Investigate Influenza Transmission in a Tertiary Care Hospital
Infection Control and Hospital Epidemiology 36, 254 (2015)