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🤔 **Why join?**
1️⃣ Explore a rich, large-scale dataset for mobile sensing research.
2️⃣ Receive feedback for your work from an expert TPC.
3️⃣ Accepted papers will be invited to submit an extended version to @ieeepervasive.
4️⃣ Get the chance to win the Best Paper Award.

🤔 **Why join?**
1️⃣ Explore a rich, large-scale dataset for mobile sensing research.
2️⃣ Receive feedback for your work from an expert TPC.
3️⃣ Accepted papers will be invited to submit an extended version to @ieeepervasive.
4️⃣ Get the chance to win the Best Paper Award.

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.

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 countries.

🤗 The open challenge aims to let participants explore the all new #DiversityOne dataset, one of the largest and most geographically diverse datasets for everyday life behavior modeling with mobile data.

📜 Paper: arxiv.org/pdf/2502.03347
🌐 DiversityOne Website: datascientia.disi.unitn.it/projects/div...
📊 Dataset Catalogue: datascientiafoundation.github.io/LivePeople/

How could a dataset like DiversityOne support your research or work? Share your thoughts in the comments below, or tag a colleague who might find this resource useful!

✅ It's a Powerful Tool for Researchers Working on:
- AI and machine learning, especially for time series analysis.
- Understanding how technology impacts behavior across cultures.
- Developing responsible AI systems that work well in diverse contexts.

✅ Over 4 weeks, participants contributed:

- 26 types of smartphone sensor data (e.g., movement, location, app usage, screen time).
- Over 350,000 self-reports about their daily activities and behaviors.
- Psycho-social surveys and demographic information for deeper insights.

✅ It represents 8 Countries:
🇨🇳 China, 🇮🇳 India, 🇲🇳 Mongolia, 🇮🇹 Italy, 🇩🇰 Denmark, 🇬🇧 UK, 🇵🇾 Paraguay, and 🇲🇽 Mexico.
This diversity captures a wide range of lifestyles and cultural differences, making it ideal for cross-country and cross-cultural research.