CMIPS

Last updated on September 23, 2023
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Photo from the CMIPS Visual Consent form.

Computational Methods Investigating Psychosocial Stressors (CMIPS)

This project has received IRB approval.

The overarching goal of CMIPS is to apply artificial intelligence to understand how LGBTQ+ people talk about stressful experiences on Facebook and/or Twitter. There are three specific aims to this project.

Aim 1. Use machine learning, deep learning, and natural language processing to model psychosocial stressors as a dichotomous outcome (e.g., high vs. low stress) among LGBTQ+ people using their Facebook and/or Twitter data.

Aim 2. Use machine learning, deep learning, and natural language processing to model psychosocial stressors as a continuous outcome among LGBTQ+ people using their Facebook and/or Twitter data.

Aim 3. Understand the acceptability of passive sensing, artificial intelligence, and computationally enhanced digital health among LGBTQ+ people.

Results will help support the development of technology-delivered mental health tools (e.g., digital mental health apps) specifically designed for LGBTQ+ people.

Check out the visual consent form to learn more.

CMIPS Visual Consent Form 1
CMIPS Visual Consent Form 2

Project Funding

  • Counseling Psychology Dissertation Award, New Mexico State University
  • Graduate Student Research Award, American Psychological Association Division 35 Section on Sexual & Gender Diversity
  • Wayne F. Placek Grant, American Psychological Foundation (PI Cascalheira)
  • NIH Minority Biomedical Research Support (MBRS) Research Training Initiative for Student Enhancement (RISE) Fellowship (R25GM061222, PI Houston, Trainee Cascalheira)
Machine Learning NLP
Cory J. Cascalheira
Cory J. Cascalheira
Psychologist

Research interests include (1) the examination of stress-based, multilevel determinants and mechanisms conferring risk for LGBTQ+ health disparities (e.g., substance misuse); (2) the use of artificial intelligence and big data to understand LGBTQ+ health behaviors and outcomes; and (3) the development of innovative digital health interventions. Clinical interests include ACT, CBT, COPE, PE, CPT, and MI for substance use disorders and posttraumatic stress disorder.