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Beiwe is a digital phenotyping research platform designed to collect research-quality smartphone raw sensor and usage data. The main focus of Beiwe is to develop statistical and computational tools to enable the extraction of biomedical and clinical insights from smartphone data.

The Beiwe platform is comprised of a study portal, smartphone applications for Android and iOS operating systems, data storage, and data modeling and analysis tools designed for transparent, customizable, and reproducible biomedical research. The Beiwe research platform is used in both clinical and non-clinical research areas including psychiatry, neurology, surgery, oncology and basic neuroscience.

The Beiwe Research Platform is a project of the Onnela Lab and is supported primarily by an NIH Director’s New Innovator Award made to Dr. Jukka-Pekka “JP” Onnela.

Digital Phenotyping

Digital phenotyping is the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices,” in particular smartphones. This is our definition of the concept and it highlights some of the important aspects of digital phenotyping, such as using existing personal devices rather than introducing additional instrumentation. To truly leverage moment-by-moment data collected in situ, in the wild, one must rely on the use of passive data, i.e., smartphone sensor and usage data

Manuals

Onnela Lab

Beiwe FAQ & Troubleshooting

Wiki Questions

ChangeLog and Release Notes

Summary Statistics