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The Stanford Screenomics is an open-source Android app framework for capturing real-time digital trace data to support behavioral and health research.

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Hey there!

You’ve probably heard about Stanford Screenomics, our open-source platform for collecting digital trace data from Android smartphones. If not, welcome — you’re in the right place!

Whether you're running a clinical study, building a behavioral surveillance app, or exploring behavioral patterns, Stanford Screenomics is here to help you get started — fast. It’s designed for researchers, developers, and anyone interested in studying everyday human behavior in the digital world and beyond—without needing to build an entire infrastructure from scratch.

What’s in this repo:

  1. Two project files — a data collection app and a dashboard app — to help you build your own custom tools, tailored to your study, no coding required.
  2. Step-by-step instructions — easy-to-follow guides to build and deploy both apps. For developers, we also include guidance on contributing new features or extending the platform to serve your project — or the public — even better.
  3. Comprehensive documentation — detailing app features, the types of data collected, the data collection process, and the overall app architecture.
  4. FAQ section - answers to common questions to help you troubleshoot and better understand the platform.

Start from Here

Before reviewing this documentation or using the associated project files, we strongly recommend reading the following manuscript: https://doi.org/10.1101/2025.06.24.25329707

QR code linking to the Screenomics preprint

Kim, I., Boffa, J., Cho, M., Conroy, D. E., Kline, N., Haber, N., Robinson, T. N., Reeves, B., & Ram, N. (2025). Stanford Screenomics: An open-source platform for unobtrusive multimodal digital trace data collection from Android smartphones. medRxiv.

This manuscript provides key background on the motivation, architecture, and applications of the Screenomics framework. Familiarity with its content will help ensure you interpret and apply the platform appropriately in your own work.

Screenome sample


Project Files


License

This project is licensed under the Creative Commons Attribution-NonCommercial 4.0 International License.
See the LICENSE file for full terms.


Contact

For questions about the use of this project or collaboration inquiries, please contact:
Ian Kimiank@stanford.edu