Hundreds of millions of people are already using Large Language Models (LLMs), including for mental health purposes, which has led to inadvertent harms. Critically, people with mental health conditions may be especially vulnerable to such harms.
In this project, we will develop the first computational framework to systematically quantify and benchmark the risks that LLMs present to people with mental health conditions. Our approach will simulate interactions of hundreds of users and LLMs to evaluate safety across a variety of mental health conditions, demographics, and AI failure modes.
Geographic Area: National
Optimizing telemental health with live artificial intelligence clinical scaffolding and feedback
This project aims to develop a clinical scaffolding system to enhance telemental health care by providing real-time coaching and actionable suggestions during video-based sessions. Modeled after live supervision methodologies, it supports clinicians by identifying intervention targets and offering text-based coaching prompts to guide care. Unlike automated chatbots, this approach enables clinicians to adapt suggestions to patient needs, balancing automation with oversight for safer AI-supported mental healthcare. The proposed in-session support will facilitate efficient implementation of strategies and clinician skill development. This project seeks to enhance data privacy by processing all data on-device and avoiding external data transfers.
Partnering with patients to re-envision psychiatric hospitalization and discharge
We will analyze people’s stories about psychiatric hospitalization, interview people with experiences surrounding psychiatric hospitalization, and co-design with them to identify alternative approaches that would help people care for themselves as they transition out of the hospital. We will build upon our prior work on understanding patients’ challenges and co-designing new systems that help patients transition from psychiatric hospitalizationto self-management. In particular, we will focus on how we could redesign psychiatric hospital systems with the people who have experienced them, identifying patient insights on the knowledge, resources, and self-efficacy they need to help them return to the community.
GATHER: Growing a Tribal Healing Effort through Research
The GATHER initiative aims to: 1) Coordinate a national research network to support tribally led research on etiology and prevention of overdose, substance use, mental health, and pain management. 2) Provide administrative support and shared resources to facilitate the successful completion of N CREW research projects. 3) Provide an administrative infrastructure, intellectual environment, and access to resources and initial support for investigators. 4) Provide research training and access to subject matter experts for investigators, staff, and students in the areas of cognitive, motivational, and behavior therapies, Indigenous approaches to research and healing, and multimodal holistic approaches to prevention and treatment. 5) Serve as a local, national, and international resource for dissemination of information and training to reduce risk in diverse tribal and urban Indian populations.
School-Based Paraeducator Education for Engagement at Recess (SPEER)
The purpose of this study is to compare two implementation strategies for a social engagement intervention that supports autistic children and their non-autistic peers during recess. Remaking Recess has been shown to improve peer engagement for autistic students when implemented by paraeducators during recess. However, without supports, paraeducators face barriers to implementing the intervention well. This study compares paraeducators’ use of Remaking Recess when they receive coaching alone and when they receive coaching along with consultation from school-based teams.
Willow Study
The goal of this study is to understand the impact of stigma on mental health and recovery from trauma in different parts of the country.
Sequenced Treatment Effectiveness for Posttraumatic Stress (STEPS)
The proposed research will determine whether primary care clinics should offer medications or talk therapy first to treat posttraumatic stress. In addition, for patients who do not respond to the first treatment, the STEPS trial will determine what treatment should be offered next. More information on our info sheet.
Redesigning Dialectical Behavior Therapy (DBT) for Autistic Young Adults in Community Clinics
This project will 1) identify the unique barriers autistic young adults experience in accessing full-model Dialectical Behavior Therapy (DBT) for suicidal thoughts and behaviors and non-suicidal self-injury in community settings, 2) determine needed adaptations to DBT from the perspectives of service providers and recipients, and 3) user-test elements of a redesigned DBT protocol.
A pilot trial on EMA habit formation behavioral strategies for improving engagement of digital mindfulness interventions among non-suicidal self-injury engagers
Non-suicidal self-injury (NSSI), the purposeful, direct damage of one’s body without the intent to die, is a pervasive public health concern with clinically significant long-term consequences. Mindfulness – a core skill in DBT, an evidence-based treatment for NSSI, is designed to target emotion dysregulation and rumination and may be particularly relevant due to the proliferation of digital mindfulness interventions in recent years. To this end, the goal of this study is to expand the use of ecological momentary assessment (EMA) and to develop and evaluate a program of habit-formation strategies (e.g., SMART-goal setting, reinforcement scheduling) to boost user engagement and treatment effects of DMI. Following a 1-week EMA baseline period, participants (N=40) will be randomized to either TAU (Mindfulness only) or Experimental (Mindfulness + Behavioral Prompts) conditions for a 4-week intervention EMA period.
Immune changes with neuropsychiatric symptoms in dementia
Though the focus of most research on dementia is the pathogenesis of cognitive deficits, neuropsychiatric symptoms (NPS) are identified in >90% of those afflicted, resulting in hastened cognitive decline, worsened general health, reduced patient and caregiver quality of life, sooner institutionalization, and increased mortality. Affective symptoms, including depression, are the most common NPS in Alzheimer’s Disease (AD), and are present in over half of patients. Using the in-depth clinical phenotyping of participants in the National Alzheimer’s Coordinating Center (NACC) with matched plasma samples, we propose to determine the correlation between select cytokines/chemokines and T-cell differentiation with depression in dementia.
