Opportunities and challenges in the collection and analysis of digital phenotyping data

Type Journal Article Author Jukka-Pekka Onnela URL https://www.nature.com/articles/s41386-020-0771-3 Rights 2020 The Author(s), under exclusive licence to American College of Neuropsychopharmacology Volume 46 Issue 1 Pages 45-54 Publication Neuropsychopharmacology ISSN 1740-634X Date 2021-01 Extra Number: 1 Publisher: Nature Publishing Group Journal Abbr Neuropsychopharmacol. DOI 10.1038/s41386-020-0771-3 Accessed 2022-07-26 16:38:51 Library Catalog www.nature.com Language en Abstract The broad adoption and use of smartphones has led to fundamentally new opportunities for capturing social, behavioral, and cognitive phenotypes in free-living settings, outside of research laboratories and clinics. Predicated on the use of existing personal devices rather than the introduction of additional instrumentation, smartphone-based digital phenotyping presents us with several opportunities and challenges in data collection and data analysis. These two aspects are strongly coupled, because decisions about what data to collect and how to collect it constrain what statistical analyses can be carried out, now and years later, and therefore ultimately determine what scientific, clinical, and public health questions may be asked and answered. Digital phenotyping combines the excitement of fast-paced technologies, smartphones, cloud computing and machine learning, with deep mathematical and statistical questions, and it does this in the service of a better understanding our own behavior in ways that are objective, scalable, and reproducible. We will discuss some fundamental aspects of collection and analysis of digital phenotyping data, which takes us on a brief tour of several important scientific and technological concepts, from the open-source paradigm to computational complexity, with some unexpected insights provided by fields as varied as zoology and quantum mechanics.