ISI Foundation

Research

A dialogue between scientific disciplines, to enhance the social impact of data

ISI Foundation is a nonprofit research institution committed to interdisciplinary data-driven science and scientific knowledge at the service of society.

The Foundation operates globally, leveraging decades of expertise in computational sciences, complex systems, data science, and aiming to impact domains spanning sustainable development, public health, economic inequality, and humanitarian response.

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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

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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

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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

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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 Science Health

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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 Science Network 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)

Health Other

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A multiscale modeling framework for Scenario Modeling: Characterizing the heterogeneity of the COVID-19 epidemic in the US

Matteo Chinazzi, Jessica T. Davis, Ana Pastore Y Piontti, Kunpeng Mu, Nicolò Gozzi, Marco Ajelli, Nicola Perra, Alessandro Vespignani

Epidemics47, 100757 (2024)

Health Other

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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)

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Education

Data talent to face complexity

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The ISI Foundation offers high-profile postgraduate and postdoctoral research opportunities, including the decade-long Lagrange Scholarships program. Its research emphasizes collaborative partnerships with universities, industry, and public sector actors, providing a training environment that is closely linked to impact stakeholders.

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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.

Community

Building collaborative communities for transforming knowledge into action

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Leveraging its global and cross-disciplinary scientific network, the ISI Foundation is a hub for fundamental and applied research in complex systems, data science and their application to address societal challenges. Through partnerships and collaborative projects, the Foundation serves as a vital link, bridging the gap between academic research and practical impact stakeholders in data science. Committed to fostering a culture that is informed by data and nurturing valuable relationships, the ISI Foundation aims at driving positive societal change.

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