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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

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

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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A statistical modelling approach for determining the cause of reported respiratory syndromes from internet-based participatory surveillance when influenza virus and SARS-CoV-2 are co-circulating

Scott A. McDonald, Albert Jan van Hoek, Daniela Paolotti, Mariette Hooiveld, Adam Meijer, Marit de Lange, , Arianne van Gageldonk-Lafeber, Jacco Wallinga
PLOS Digital Health3(12), e0000655 (2024)

Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach

Nicolò Gozzi, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana Pastore Y Piontti, Marco Ajelli, Alessandro Vespignani, Nicola Perra
Epidemics 100805 (2024)

Towards a Multilingual System for Vaccine Hesitancy using a Data Mixture Approach

Oscar Araque, María Felipa Ledesma-Corniel, Kyriaki Kalimeri
CLiC-it 2023: 9th Italian Conference on Computational Linguistics (2023)

Routes of importation and spatial dynamics of SARS-CoV-2 variants during localized interventions in Chile

Bernardo Gutierrez, Joseph L -H Tsui, Giulia Pullano, Mattia Mazzoli, Karthik Gangavarapu, Rhys P D Inward, Sumali Bajaj, Rosario Evans Pena, Simon Busch-Moreno, Marc A Suchard, Oliver G. Pybus, Alejandra Dunner, Rodrigo Puentes, Salvador Ayala, Jorge Fernandez, Rafael Araos, Leonardo Adrian Ferres, Vittoria Colizza, Moritz U. G. Kraemer
PNAS Nexus3, 11, pgae483 (2024)

Social interactions of dairy cows and their association with milk yield and somatic cell count

Helen R. Fielding, Matthew J. Silk, Trevelyan J. McKinley, Richard J. Delahay, Jared K. Wilson-Aggarwal, Laetitia Gauvin, Laura Ozella, Ciro Cattuto, Robbie A. McDonald
Applied Animal Behaviour Science279, 106385 (2024)

A statistical modelling approach for determining the cause of reported respiratory syndromes from internet-based participatory surveillance when influenza virus and SARS-CoV-2 are co-circulating

Scott A. McDonald, Albert Jan van Hoek, Daniela Paolotti, Mariette Hooiveld, Adam Meijer, Marit de Lange, , Arianne van Gageldonk-Lafeber, Jacco Wallinga
PLOS Digital Health3(12), e0000655 (2024)

Real-time estimates of the emergence and dynamics of SARS-CoV-2 variants of concern: A modeling approach

Nicolò Gozzi, Matteo Chinazzi, Jessica T. Davis, Kunpeng Mu, Ana Pastore Y Piontti, Marco Ajelli, Alessandro Vespignani, Nicola Perra
Epidemics 100805 (2024)

Towards a Multilingual System for Vaccine Hesitancy using a Data Mixture Approach

Oscar Araque, María Felipa Ledesma-Corniel, Kyriaki Kalimeri
CLiC-it 2023: 9th Italian Conference on Computational Linguistics (2023)