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Community

An open network of connections and partnerships, to transform knowledge into change

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Education

Building bridges:
connecting research and society in collaboration with academia

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Research

Exploring boundaries:
advancing data science at the intersection of disciplines

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Research

At the heart of ISI Foundation is interdisciplinary scientific research, with the goal of advancing complex systems science, network science, and data science to address complex socio-technical phenomena and impact public health and sustainable development.

Education

Research grants, European projects, university collaborations: ISI Foundation’s initiatives for a high-level training network.

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Research

At the heart of ISI Foundation is interdisciplinary scientific research, with the goal of advancing complex systems science, network science, and data science to address complex socio-technical phenomena and impact public health and sustainable development.

Community

From the international scientific network to the link with the nonprofit world, ISI Foundation is an active hub between universities, companies, and institutions—committed to facilitating processes of change.

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Education

Research grants, European projects, university collaborations: ISI Foundation’s initiatives for a high-level training network.

Community

From the international scientific network to the link with the nonprofit world, ISI Foundation is an active hub between universities, companies, and institutions—committed to facilitating processes of change.

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Lagrange Project Community

Lagrange Project

The Lagrange Prize

The Lagrange Prize – CRT Foundation is the leading award in the field of Complex Systems Science. Created in 2008, and coordinated by ISI Foundation, the Prize awards internationally renowned scientists advancing complex systems science, data science and their applications. The Lagrange Prize Awardees comprise a world-class group of scientists, thought leaders and communicators, including Nobel laureates.

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Lagrange Project Education

Lagrange Project

Lagrange Scholarships

The Lagrange Project supports the training of a new generation of young talents in the applications of complex systems science, data science, and artificial intelligence to societal challenges and sustainable development. The program provides a yearly cohort of scholarships, the Lagrange Scholarships, that support selected, freshly graduated STEM students and offers them a one year experiential learning path.

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Lagrange Project Research

Lagrange Project

Lagrange Laboratory

CRT Foundation, a co-founding partner and main funder of the institute, supports the work of ISI Foundation through a targeted initiative, the Lagrange Project, that comprises research, training and community building actions. The research and innovation component of the Lagrange Project is the Lagrange Laboratory and is organized in four broad interdisciplinary areas: Computational and Digital Epidemiology, Computational Social Science, Data for Social Impact and Sustainability, Complex Systems and Data Science.

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Projects

Evogames Hero

EvoGamesPlus

Evolutionary games and population dynamics: from theory to applications
Influweb Hero

Influenzanet & Influweb

Influenzanet is a system designed to monitor the activity of influenza-like-illness (ILI) with the aid of volunteers via the Internet.
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VERDI

VERDI – SARS-coV2 variants Evaluation in pRegnancy and paeDIatrics cohorts

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STAMINA

STAMINA develops an intelligent decision support toolset for pandemic prediction and management and demonstrates its use by practitioners at national and regional levels within and across EU borders.
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The Lagrange Project

Lagrange Project

The mission of the ISI Foundation has been generously supported since its inception by the CRT Foundation. Since 2003, the support of the CRT Foundation has been organized under the umbrella of the Lagrange Project, a comprehensive initiative on complex systems, data science, and its societal applications, that includes a scholarship program and a renowned prize.

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Latest publications

HealthOther
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Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, Matteo Chinazzi
PLoS Digital Health3(2), e0000430 (2025)
Sustainable Development
PDF ↓

Towards a global impact-based forecasting model for tropical cyclones

Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, Monica L. Turner
Natural Hazards Earth System Sciences24(1), 309–329 (2024)
Other
PDF ↓

The social stratification of internal migration and daily mobility during the COVID-19 pandemic

Erick Elejalde, Leonardo Adrian Ferres, Victor Navarro, Loreto Bravo, Emilio Zagheni
Scientific Reports14, 12140 (2024)
Health
PDF ↓

Research ethics and artificial intelligence for global health: perspectives from the global forum on bioethics in research

James Shaw, Joseph Ali, Caesar A. Atuire, Phaik Yeong Cheah, Armando Guio Español, Judy Wawira Gichoya, Adrienne Hunt, Daudi Jjingo, Katherine Littler, Daniela Paolotti, Effy Vayena
BMC Medical Ethics25, 46 (2024)
Computational Social ScienceHealth
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Political context of the European vaccine debate on Twitter

Giordano Paoletti, Lorenzo Dall’Amico, Kyriaki Kalimeri, Jacopo Lenti, Yelena Mejova, Daniela Paolotti, Michele Starnini, Michele Tizzani
Scientific Reports 14, 4397 (2024)
Other
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On the need for a multi-dimensional framework to measure accessibility to urban green

Alice Battiston, Rossano Schifanella
npj Urban Sustainability4, 10 (2024)
Other
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Modeling teams performance using deep representational learning on graphs

Francesco Carli, Pietro Foini, Nicolò Gozzi, Nicola Perra, Rossano Schifanella
EPJ Data Science13(7), (2024)
Data ScienceNetwork Science
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Estimating household contact matrices structure from easily collectable metadata

Lorenzo Dall’Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, Brigitte Language, , Cheryl Cohen, Stefano Tempia, Ciro Cattuto
PLoS ONE19(3), e0296810 (2024)
Data Science
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An embedding-based distance for temporal graphs

Lorenzo Dall’Amico, Alain Barrat, Ciro Cattuto
Nature Communications15, 9954 (2024)
HealthOther
PDF ↓

Characterizing collective physical distancing in the U.S. during the first nine months of the COVID-19 pandemic

Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Maciej Kos, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, Richard Gonzalez, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, Matteo Chinazzi
PLoS Digital Health3(2), e0000430 (2025)
Sustainable Development
PDF ↓

Towards a global impact-based forecasting model for tropical cyclones

Mersedeh Kooshki Forooshani, Marc van den Homberg, Kyriaki Kalimeri, Andreas Kaltenbrunner, Yelena Mejova, Leonardo Milano, Pauline Ndirangu, Daniela Paolotti, Aklilu Teklesadik, Monica L. Turner
Natural Hazards Earth System Sciences24(1), 309–329 (2024)
Other
PDF ↓

The social stratification of internal migration and daily mobility during the COVID-19 pandemic

Erick Elejalde, Leonardo Adrian Ferres, Victor Navarro, Loreto Bravo, Emilio Zagheni
Scientific Reports14, 12140 (2024)
see all publications ↗