Utilizing Passively Collected Data Within Daily Life to Enhance the Assessment and Digital Treatment of Mental Health
Dr Nick Jacobson from Dartmouth College will share his work on using technology to enhance both the assessment and treatment of anxiety and depression, and lead an interactive discussion together with Prof Vassilis Kostakos.
About the speaker
Dr Nick Jacobson is an assistant professor in the departments of Biomedical Data Science, Psychiatry, and Computer Science, within the Center for Technology and Behavioral Health in the Geisel School of Medicine at Dartmouth College. He directs the AI and Mental Health: Innovation in Technology Guided Healthcare (AIM HIGH) Laboratory. Dr. Jacobson researches the use of technology to enhance both the assessment and treatment of anxiety and depression.
You will learn about his work on:
- Enhancing precision assessment of anxiety and depression using intensive longitudinal data,
- Conducting multimethod assessment utilizing passive sensor data from smartphones and wearable devices, and
- Providing scalable, personalized technology-based treatments utilizing smartphones.
He has a strong interest in creating personalized just-in-time adaptive interventions and the quantitative tools that make this work possible. To date, Dr. Jacobson’s smartphone applications which assess and treat anxiety and depression have been downloaded and installed by more than 50,000 people in over 100 countries. Dr. Jacobson is the principal investigator of an R01 Awarded from the National Institute of Mental Health studying the use of personalized deep learning models to predict rapid changes in major depressive disorder symptoms using passive sensor data from smartphones and wearable devices. His talk will discuss the use of technology to assess and treat anxiety and depression at scale.
View Recording here: