Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16399, first published September 25, 2019.

; Kit Huckvale²

; Helen Christensen^{2, 3}

; Svetha Venkatesh¹

; Kon Mouzakis²

; Rajesh Vasa¹

Scott Barnett ^{1
*} , BEng, BSc, PhD ; Kit Huckvale ^{2
*} , BSc, MBChB, MSc, PhD ; Helen Christensen ^{2, 3} , BA, MPsychol, PhD ; Svetha Venkatesh ¹ , BTech, MTech, PhD ; Kon Mouzakis ² , BSc, MSc ; Rajesh Vasa ¹ , PhD

¹ Applied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia

² Black Dog Institute, UNSW Sydney, Randwick, Australia

³ Mindgardens Neuroscience Network, Sydney, Australia

*these authors contributed equally

Corresponding Author: