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University of Trento (38123 Povo, Trento, Italy)

2020-DiversityOne-Copenhagen Edit

The study aimed to assess diversity through the social practices and daily behaviors of university students from eight different countries. The research was carried out in two phases. Initially, a large sample of students from Denmark, Italy, Mongolia, Paraguay, the United Kingdom, China, Mexico, and India, completed a survey on their social practices, as well as their socio-demographic, cultural, and psychological elements. In the second phase, a sub-sample of the respondents engaged in a four-week data collection by using an innovative smartphone application called iLog. This app collected data from thirty-four smartphone sensors around the clock, allowing for an in-depth investigation into the diversity and daily routines of university students across countries, both synchronically and diachronically.

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Project keywords Diversity, Social Practices, Lifestyle, Smartphone data, Sensor data
Project type Data collection
Project start date 2020-09-28
Project end date 2020-12-11
Project funding agency European Union’s Horizon 2020 WeNet project, under grant agreement 823783
Project output Datasets, Publications
Project coordinator Amalia de Götzen
Project area LivePeople
Project members Peter Kun, Niels Jørgen Gommesen
Project target location Copenhagen (Denmark)
Overall participants involved 443
Selected participants 18
Type of measurements Questionnaire, Intensive Longitudinal Survey
IRB approval date 2020-05-20
IRB approval organization Aalbor University
IRB approval number 2020-020-00462
Cite as Matteo Busso, Andrea Bontempelli, Leonardo Javier Malcotti, Lakmal Meegahapola, Peter Kun, Shyam Diwakar, Chaitanya Nutakki, Marcelo Rodas Britez,Hao Xu, Donglei Song, Salvador Ruiz-Correa, Andrea-Rebeca Mendoza-Lara, George Gaskell, Sally Stares, Miriam Bidoglia, Amarsanaa Ganbold, Altangerel Chagnaa, Luca Cernuzzi, Alethia Hume, Ronald Chenu-Abente, Roy Alia Asiku, Ivan Kayongo, Daniel Gatica-Perez, Amalia De Götzen, Ivano Bison, and Fausto Giunchiglia. (2025). DiversityOne: A Multi-Country Smartphone Sensor Dataset for Everyday Life Behavior Modeling. Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies.
Project Identifier 004.AAAD.AAC.**
Download request email datadistribution.knowdive@unitn.it

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