PI: National Institutes of Health (NIH) (#R01MH117172), Leveraging Social Media Data and Machine Learning to Optimize Treatment Paradigms for Youth with Schizophrenia (2019-2023).
PI: National Science Foundation (NSF) (#1816403), CHS: Small: Collaborative Research: Tools for Mental Health Reflection: Integrating Social Media with Human-Centered Machine Learning (2018–2021).
Co-PI: PI: National Science Foundation (NSF) (#1827700), PFI-RP: A Multi-Disciplinary Approach to Detecting Adolescent Online Risks (2018–2021).
(Sole) PI: Northwell Health, Employing Online Activity Data and Machine Learning to Reduce Duration of Untreated Psychosis and Prevent Relapse (2019–2020).
(Sole) PI: Centers for Disease Control and Prevention (CDC), Assessing Nationwide Suicide Rates By Integrating Social Media and Ensemble Data (2018–2019).
Co-PI: Intelligence Advanced Research Projects Activity (IARPA), A Comprehensive Approach to Modeling Job Performance via Unobtrusive, Continuous, Multimodal Sensing (2017–2019).
PI: National Institutes of Health (NIH) (#R01GM112697), Social Media Signals for Posttraumatic Stress and Anxiety in Crisis-Inflicted Communities (2014–2019).
(Sole) PI: United Nations Foundation, Social Media Measures of Adolescent Mental Health in Developing Countries (2015–2016).
PI: Edenfield Faculty Award (Georgia Tech), Identifying Risks to Psychological Distress in University Student Populations from Online Interaction Data (2015-2016).
(Sole) PI: Mozilla, unrestricted gift.
(Sole) PI: Samsung, unrestricted gift.
(Sole) PI: Yahoo! Labs, unrestricted gift.
(Sole) PI: Facebook, unrestricted gift.