Heterogeneous length of stay of hosts' movements and spatial epidemic spread - Chiara Poletto; Michele Tizzoni; Vittoria Colizza (CoRR, 2012)

On the Use of Human Mobility Proxies for Modeling Epidemics. - Michele Tizzoni; Paolo Bajardi; Adeline Decuyper; Guillaume Kon Kam King; Christian M. Schneider; Vincent D. Blondel; Zbigniew Smoreda; Marta C. González; Vittoria Colizza (PLoS Comput. Biol., 2014)

Social Data Mining and Seasonal Influenza Forecasts: The FluOutlook Platform. - Qian Zhang 016; Corrado Gioannini; Daniela Paolotti; Nicola Perra; Daniela Perrotta; Marco Quaggiotto; Michele Tizzoni; Alessandro Vespignani (ECML/PKDD (3), 2015)

Unveiling patterns of international communities in a global city using mobile phone data. - Paolo Bajardi; Matteo Delfino; André Panisson; Giovanni Petri; Michele Tizzoni (EPJ Data Sci., 2015)

Predicting human mobility through the assimilation of social media traces into mobility models. - Mariano G. Beiró; André Panisson; Michele Tizzoni; Ciro Cattuto (EPJ Data Sci., 2016)

Quantifying social contacts in a household setting of rural Kenya using wearable proximity sensors. - Moses C. Kiti; Michele Tizzoni; Timothy M. Kinyanjui; Dorothy C. Koech; Patrick K. Munywoki; Milosch Meriac; Luca Cappa; André Panisson; Alain Barrat; Ciro Cattuto; D. James Nokes (EPJ Data Sci., 2016)

Using Participatory Web-based Surveillance Data to Improve Seasonal Influenza Forecasting in Italy. - Daniela Perrotta; Michele Tizzoni; Daniela Paolotti (WWW, 2017)

Forecasting Seasonal Influenza Fusing Digital Indicators and a Mechanistic Disease Model. - Qian Zhang 016; Nicola Perra; Daniela Perrotta; Michele Tizzoni; Daniela Paolotti; Alessandro Vespignani (WWW, 2017)

DSAA 2018 Special Session: Data Science for Social Good. - Daniela Paolotti; Michele Tizzoni (DSAA, 2018)

Predicting City Poverty Using Satellite Imagery. - Simone Piaggesi; Laetitia Gauvin; Michele Tizzoni; Ciro Cattuto; Natalia Adler; Stefaan Verhulst; Andrew Young; Rhiannan Price; Leo Ferres; André Panisson (CVPR Workshops, 2019)

Gender gaps in urban mobility. - Laetitia Gauvin; Michele Tizzoni; Simone Piaggesi; Andrew Young; Natalia Adler; Stefaan Verhulst; Leo Ferres; Ciro Cattuto (CoRR, 2019)

Facebook Ads as a Demographic Tool to Measure the Urban-Rural Divide. - Daniele Rama; Yelena Mejova; Michele Tizzoni; Kyriaki Kalimeri; Ingmar Weber (WWW, 2020)

Mobile phone data and COVID-19: Missing an opportunity? - Nuria Oliver; Emmanuel Letouzé; Harald Sterly; Sébastien Delataille; Marco De Nadai; Bruno Lepri; Renaud Lambiotte; Richard Benjamins; Ciro Cattuto; Vittoria Colizza; Nicolas de Cordes; Samuel P. Fraiberger; et al. (CoRR, 2020)

The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic. - Michele Tizzoni; André Panisson; Daniela Paolotti; Ciro Cattuto (PLoS Comput. Biol., 2020)

Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact. - Mattia Mazzoli; Emanuele Pepe; David Mateo; Ciro Cattuto; Laetitia Gauvin; Paolo Bajardi; Michele Tizzoni; Alberto Hernando; Sandro Meloni; José J. Ramasco (PLoS Comput. Biol., 2021)

Data-driven bicycle network planning for demand and safety. - Pietro Folco; Laetitia Gauvin; Michele Tizzoni; Michael Szell (CoRR, 2022)

Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science. - Massimiliano Luca; Gian Maria Campedelli; Simone Centellegher; Michele Tizzoni; Bruno Lepri (CoRR, 2022)

Identifying urban features for vulnerable road user safety in Europe. - Marina Klanjcic; Laetitia Gauvin; Michele Tizzoni; Michael Szell (EPJ Data Sci., 2022)

Mapping urban socioeconomic inequalities in developing countries through Facebook advertising data. - Simone Piaggesi; Serena Giurgola; Márton Karsai; Yelena Mejova; André Panisson; Michele Tizzoni (Frontiers Big Data, 2022)

Crime, inequality and public health: a survey of emerging trends in urban data science. - Massimiliano Luca; Gian Maria Campedelli; Simone Centellegher; Michele Tizzoni; Bruno Lepri (Frontiers Big Data, 2023)

Physical partisan proximity outweighs online ties in predicting US voting outcomes. - Marco Tonin; Bruno Lepri; Michele Tizzoni (CoRR, 2024)