ISI Foundation increasingly uses digital media and computational devices in daily activities, and leaves behind a sizable amount of digital traces while doing so. The proliferation of mobile devices, and the incorporation of various sensing technologies in these devices, will further add to this growing trail of data. The possibility to mine and analyze these data, and the scale at which this can be done on contemporary computer systems, affords a novel, data-driven approach in the investigation of various aspects of human behavior.

SocioPatterns is an interdisciplinary research collaboration that adopts this data-driven methodology with the aim of uncovering fundamental patterns in social dynamics and coordinated human activity.

To achieve its scientific goals, the SocioPatterns collaboration also contributes to the development of new technologies for collecting relevant data. In particular, the collaboration supports the development of the SocioPatterns sensing platform, which uses wireless wearable sensors to gather longitudinal data on human mobility and face-to-face proximity in real-world environments. The SocioPatterns team also works on developing tools and techniques to represent, analyze and visualize the collected data.


STI International

Vienna, Austria

Centre de Physique Theorique

Marseille, France

School of Public Health of the University of Hong Kong

Hong Kong,

Partners HealthCare

Boston, MA, United States of America

Istituto Superiore di Sanità

Rome, Italy

Ospedale Pediatrico Bambino Gesù

Rome, Italy

KEMRI Wellcome Trust

Kilifi, Kenya

Ecole Normale Supérieure de Lyon

Lyon, France

Politecnico di Milano

Milan, Italy

Cambridge University

Cambridge, United Kingdom

University of California, Berkeley

Berkely, CA,

Neo Technology

San Mateo, CA, United States of America

Science Gallery

Dublin, Ireland

Medialab Prado

Madrid, Spain


Berlin, Germany

Università degli studi di Torino

Turin, IT