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Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups

NIDA - National Institute on Drug Abuse

open
OpenLast verified: 2026-06-20

About This Grant

Substance use disorder (SUD) is a leading public health challenge, with long-term consequences for physical and mental health. In-person peer support groups are well-established as beneficial for recovery. However, as digital platforms increasingly serve as spaces for peer support, little is known about how engagement in online peer support recovery groups is associated with recovery outcomes. Emerging research has yielded conflicting results, with some studies suggesting benefits while others indicating relapse risks. This underscores the need to examine the content of discussions beyond engagement frequency. The present application seeks support for Xiangyu Tao, Ph.D., a postdoctoral associate at the Rutgers Addiction Research Center, gain the necessary training and set up a line of research to examine the role of online peer support recovery communities in SUD recovery. Specifically, she will integrate state-of-the-art artificial intelligence (AI) techniques, including Large Language Models (LLMs), with co-production to identify communication patterns and to examine their associations with recovery outcomes. LLMs offer a promising avenue for analyzing large-scale online discussions, yet they require human oversight to address challenges such as contextual misinterpretation and ethical concerns. Co-production, i.e., involving individuals with SUD recovery experience in all research stages, mitigates LLM limitations and ensures that results reflect lived experience. The mentored K99 phase will identify and characterize communication patterns in online recovery groups. Peer support and co-rumination patterns will be classified using LLMs and co-production (Aim 1); latent class analysis (LCA) will identify distinct communication profiles among users engaging in these online groups (Aim 2). During this phase, Dr. Tao will receive mentorship in co-production and AI methodologies, longitudinal data analysis and management, and responsible AI research. The independent R00 phase will build upon this foundation by examining how communication profiles are associated with recovery trajectories using longitudinal survey data from online recovery group participants (Aim 3). This project is highly innovative in its integration of LLMs and co- production to analyze large-scale digital recovery discussions, ensuring that AI-driven insights are both computationally rigorous and socially informed. Findings will enhance understanding of digital peer support for SUD recovery and will inform future mechanistic studies and SUD interventions. By identifying communication patterns associated with recovery trajectories, this project will guide digital health platforms, peer support programs, and clinicians in optimizing online recovery environments to better support individuals with SUD. This project aligns with the NIDA Strategic Plan Cross-Cutting Priority to "Leverage Data Science and Analytics to Understand Real-World Complexity" by utilizing advanced computational methods to analyze digital recovery support interactions. The project is highly significant in bridging advanced AI computational tools with the lived experiences of individuals to produce impactful research to promote substance use recovery.

Grant Summary

Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups is a NIDA - National Institute on Drug Abuse grant providing up to $140K for university, nonprofit, healthcare org. Applications are due 2028-01-31 (open). Check eligibility and apply with FindGrants.

Focus Areas

health research

Eligibility

universitynonprofithealthcare org

How to Apply

Funding Range

Up to $140K

Deadline

2028-01-31

Complexity
Medium
  1. 1Confirm your organization is eligible for Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups from NIDA - National Institute on Drug Abuse, checking organization type, location, and any population or project requirements.
  2. 2Gather the required documents and information, including your organization details, project plan, and budget figures.
  3. 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
  4. 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIDA - National Institute on Drug Abuse before the deadline.
This record is a past award, contract, or funder profile — useful for research, but not an open grant application. Check the original source for current opportunities from this funder.

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Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups: Frequently Asked Questions

Who is eligible for the Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups?

Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups is offered by NIDA - National Institute on Drug Abuse and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.

How much funding does the Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups provide?

Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups provides up to $140K per award from NIDA - National Institute on Drug Abuse. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.

When is the Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups deadline?

Applications for Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups are due 2028-01-31 (open). Because deadlines can change, verify the date with the funder, NIDA - National Institute on Drug Abuse, and give yourself enough time to prepare a complete, competitive application before the close date.

How do you apply for the Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups?

To apply for Integrating AI and Co-production to Analyze Communications in Social Media Substance Use Recovery Groups, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIDA - National Institute on Drug Abuse.

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