We lead the open dissemination of findable, accessible, inter-operable and reusable (FAIR) data, creating reproducible computational workflows and open computational models.
We create agile, multidisciplinary teams and collaborate on large-scale integrative projects.
We collaborate with scientists worldwide on data gathering, standardization and sharing.
Education and Training
We develop unique educational resources and training for the next generation of scientists.
We assess and address potential bias, equity or ethics issues in the context of data-driven mental health.
We commit to privacy-by-design in our data platforms and operations.
We demonstrate being an agile incubator of mental health technologies.