[CFP] 2nd DiversityOne Open Challenge at Ubicomp 2026: Exploring People’s Everyday Life Behavior with Mobile Data

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Andrea Bontempelli

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May 15, 2026, 8:38:28 AM (yesterday) May 15
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The 2nd DiversityOne Open Challenge: Exploring Diversity in People’s Everyday Life Behavior with Mobile Data

to be held at 

The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

Shanghai, China, October 11-12, 2026

Workshop website:  https://datascientiafoundation.github.io/diversityone-2026/  



The open challenge aims to explore the DiversityOne dataset, one of the larger and most geographically diverse datasets for everyday life behavior modeling. The dataset combines questionnaires about demographic and psychosocial variables from 18K participants, and passive smartphone sensor data and self-reported annotations from 782 students across eight universities in eight countries. The study followed ethical approval procedures in each of the participating institutions and is compliant with the European General Data Protection Regulation (GDPR). This dataset is a rich, flexible and valuable research resource that can be used to answer research questions in multiple fields: machine learning, mobile sensing, computational social science, behavioral recognition, and many others. This challenge offers the opportunity to work on the dataset and gain useful feedback on your research. We welcome contributions from researchers from diverse backgrounds and geographical provenances. In particular, we welcome contributions that address aspects including, but not limited to:

  • AI/ubiquitous computing/mobile sensing

  • data-centric AI

  • interactive machine learning

  • noisy annotation detection and correction

  • domain adaptation

  • transfer learning

  • activity and mood recognition

  • responsible and ethical AI

  • human daily mobility modeling and routine pattern discovery

  • spatio-temporal trajectory prediction

  • Computational social science

  • network analysis of social systems

  • sequence analysis of diary data

  • analysis of communities of practices

  • machine learning or rule-based analysis of social behavior

  • Designing with data

  • studies focusing on the design and documentation of the dataset collection

  • studies focusing on the design affordances of the dataset

  • data-centric design

  • user-centered design

Why join?

  • Explore a rich, large-scale dataset for research

  • Receive feedback for your work from an expert program committee 

  • A selection of the accepted papers will be invited to submit an extended version to IEEE Pervasive Computing.

Important dates

  • From now. Submit your short research proposal using the web form and request the datasets that you need to answer your research questions. Please specify that you are requesting the dataset to submit your work to the workshop. The full list of available datasets and documentation is accessible on the data catalog.

  • July 13, 2026: Abstract deadline.

  • July 15, 2026: Submission deadline

  • July 27, 2026: Author notification

  • July 31, 2026: Deadline for camera-ready version of workshop papers to be included in the ACM DL

  • (TBD) October 11 or 12, 2026: Full-day Workshop.

Important links

Submission platform: https://new.precisionconference.com/submissions 

Workshop website: https://datascientiafoundation.github.io/diversityone-2026/  

Dataset paper https://dl.acm.org/doi/10.1145/3712289

Data catalog https://datascientiafoundation.github.io/LivePeople-ws/datasets/ 

Dataset webpage https://datascientia.eu/projects/diversityone/

Paper submission

Short paper (max 4 pages, excluding references). The paper should report the motivation, methodology, results, future analyses and an ethical statement highlighting potential societal impacts. The submitted works should reflect on, analyze, or test the DiversityOne dataset.

Additional info:

Organizers

  • Andrea Bontempelli (University of Trento)

  • Özlem Durmaz Incel (University of Twente)

  • Baiyu (Breeze) Chen (University of New South Wales)

  • Matteo Busso (University of Trento)

  • Lakmal Meegahapola (Nokia Bell Labs)

  • Wanyi Zhang (Chongqing University)

  • Flora Salim (University of New South Wales)

  • Daniel Gatica-Perez (Idiap Research Institute & EPFL)

  • Fausto Giunchiglia (University of Trento)

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