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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.

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.

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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Towards a global machine learning based impact 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)

Estimating household contact matrices structure from easily collectable metadata

Lorenzo Dall’Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, , , Cheryl Cohen, Stefano Tempia, Ciro Cattuto
PLoS ONE19(3), e0296810 (2024)

What does a text classifier learn about morality? An explainable method for cross-domain comparison of moral rhetoric

Enrico Liscio, Oscar Araque, Lorenzo Gatti, Ionut Constantinescu, Catholijn Jonker, Kyriaki Kalimeri, Pradeep Kumar Murukannaiah
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics1, 14113–14132 (2023)

Unraveling the COVID-19 hospitalization dynamics in Spain using Bayesian inference

Alberto Aleta, Juan Luis Blas-Laína, Gabriel Tirado Anglés, Yamir Moreno
BMC Medical Research Methodology23, 24 (2023)

The Thin Ideology of Populist Advertising on Facebook during the 2019 EU Elections

Arthur Capozzi, Gianmarco De Francisci Morales, Yelena Mejova, Corrado Monti, André Panisson
WWW ’23: Proceedings of the ACM Web Conference 2023 2852–2862 (2023)

The Pursuit of Peer Support for Opioid Use Recovery on Reddit

Duilio Balsamo, Paolo Bajardi, Gianmarco De Francisci Morales, Corrado Monti, Rossano Schifanella
Proceedings of the International AAAI Conference on Web and Social Media17(1), 12-23 (2023)

Towards a global machine learning based impact 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)

Estimating household contact matrices structure from easily collectable metadata

Lorenzo Dall’Amico, Jackie Kleynhans, Laetitia Gauvin, Michele Tizzoni, Laura Ozella, Mvuyo Makhasi, Nicole Wolter, , , Cheryl Cohen, Stefano Tempia, Ciro Cattuto
PLoS ONE19(3), e0296810 (2024)

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