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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)

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)

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)

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)

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)

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)

A generalized vector-field framework for mobility

Erjian Liu, Mattia Mazzoli, Xiao-Yong Yan , José J. Ramasco
Communications Physics 7, 190 (2024)

A Dataset to Assess Microsoft Copilot Answers in the Context of Swiss, Bavarian and Hessian Elections

Salvatore Romano, Riccardo Angius, Natalie Kerby, Paul Bouchaud, Jacopo Amidei, Andreas Kaltenbrunner
Proceedings of the International AAAI Conference on Web and Social Media18, (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)

Text characterization based on recurrence networks

Bárbara C. e Souza, Filipi Nascimento Silva, Henrique Ferraz De Arruda, Giovana D. da Silva, Luciano da Fontoura Costa, Diego Raphael Amancio
Information Sciences641, 119124 (2023)

Sustainable nutrition and the case of vegetable oils to match present and future dietary needs

Pier Mannuccio Mannucci, Olivier Jolliet, Erik Meijaard, Joanne Slavin, Mario Rasetti, Alberto Aleta, Yamir Moreno, Carlo Agostoni
Frontiers in Public Health11, 1106083 (2023)

Strengths and limitations of relative wealth indices derived from big data in Indonesia

Daniele Sartirano, Kyriaki Kalimeri, Ciro Cattuto, Enrique Delamónica, Manuel Garcia-Herranz, Anthony Mockler, Daniela Paolotti, Rossano Schifanella
Frontiers in Big Data6, 1054156 (2023)

Spatially-optimized urban greening for reduction of population exposure to land surface temperature extremes

Emanuele Massaro, Rossano Schifanella, Matteo Piccardo, Luca Caporaso, Hannes Taubenböck, Alessandro Cescatti, Gregory Duveiller
Nature Communications14: 2903, (2023)

Social and asocial learning in zebrafish are encoded by a shared brain network that is differentially modulated by local activation

Júlia S. Pinho, Vincent Cunliffe, Kyriacos Kareklas, Giovanni Petri, Rui F. Oliveira
Communications Biology6, 633 (2023)