We believe that the state-of-the-art improves most quickly when research is shared with the greater community. Our ground-breaking research regularly appears in peer-reviewed scientific publications.
We are also pioneers in the ethical application of this field of technology, with the first published ethical framework and recommendations for doing health research with social media data.
Individual differences in the Movement-Mood Relationship in Digital Life Data.
Community-level research on Suicidality Prediction in a Secure Environment: Overview of the CLPsych 2021 Shared Task.
Scalable Mental Health Analysis in the Clinical Whitespace via Natural Language Processing.
Clinical Validation of Models Built from Self-Stated Diagnosis Social Media Data.
Unobtrusive Analysis of Mental Health on Social Media via User Embeddings.