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DiversityOne Open Challenge: Exploring People's Everyday Life Behavior with Mobile Data

Year: 2025

Type: article

Abstract: Combining passive smartphone sensor data with self-reports enables the study of everyday life behavior. The DiversityOne dataset, recently released to the UbiComp community, overcomes the limitation of existing datasets by containing data from eight countries from both Global South and Global North, including data from 782 college students, combining the data from 26 smartphone sensors and 350K+ self-reports, and extensive demographic and psychosocial survey data from 18K college students. The richness of the dataset opens the way to investigating important problems in multiple disciplines. Existing studies that leverage the dataset have only scratched the surface of the potential research questions it can help answer. Thus, we are organizing this workshop to foster creative and multidisciplinary works on this dataset: from AI and ubiquitous and mobile computing to computational social science and design.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16539803

Authors: Bontempelli, Andrea, Busso, Matteo, Meegahapola, Lakmal, de Götzen, Amalia, Giunchiglia, Fausto, Gatica-Perez, Daniel

Institutions: University of Trento, Aalborg University, École Polytechnique Fédérale de Lausanne, Idiap Research Institute

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

OpenAlex ID: W6968087435

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