
Reimagining Systems to Reach Families Where They Are
Active Research Projects
Caregivers Need Care Too!

Project EMPOWER is a free, evidence-based, 1-session online program for caretakers (e.g., parents, teachers, etc.) to equip them with skills to build bravery and reduce anxiety-driven avoidance in children.
Adaptations:
While accommodation has been primarily investigated within the context of child anxiety, it involves caretaking behaviors that may also play a significant role in maintaining other areas of psychopathology; adjusting daily routines to aid avoid triggers and/or directly participating in strategies to reduce child’s distress in the moment is a common parent behavior when caretaking for children.


EMPOWER-OCD
Evaluation of the OCD adapted program at the Center for OCD and Related Disorders among caregivers of diverse socioeconomic status​

EMPOWER-Eating Disorders
Evaluation of the adapted for caregivers of patients medically admitted due to an eating disorder who have not yet started FBT. Includes both privately insured families and medicaid-insured families who are either Spanish or English speaking.


EMPOWER-NDD
Evaluation of the adapted program for caregivers of neurodevelopmental disorders, a population often excluded from RCTs. ​
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EMPOWER-Korean x AI
We are integrating generative AI with Project EMPOWER that is translated and culturally adapted for Korean families.
Micro-Single Session Interventions

In partnership with MHA, we are co-creating micro single session interventions that last about 5 minutes and widely disseminating it on their platform
Single Session Consultation


With the Affective Science and Psychophysiology Lab at Miami University, we are testing whether a Single Session Consultation and Open-Label Placebos can help treatment seeking individuals on a waitlist for longer-term therapy
AI Mental Health

Artificial Intelligence is transforming the way people access emotional support. So we want to better understand (1) how people use AI tools in managing their mental health and (2) what evidence exist in calibrating AI to respond to users