Strengthening Engagement in Research: Building and Maintaining Relationships with Patient & Community Partners

Meaningful partnerships with patients, community members, or other collaborators involved in your research are invaluable. Projects are set up for success when care is intentionally given to developing and strengthening partnerships over time.

This online training will describe best practices for building mutually beneficial partnerships. The session will also cover common challenges that researchers and patient, community, and other partners experience when working together, along with suggested solutions.

Participation in our Engagement in Research 101 or Engagement in Research Nuts and Bolts trainings are not required to attend this session; however, some knowledge of engagement, whether from prior training(s) or personal experience, may foster deeper understanding of the material in this session.

Presenters:
Alicia Bilheimer, MPH - Director of Engaged Science, NC TraCS
Veronica Carlisle, MPH, CHES - Senior Community Health Educator, UNC Lineberger Comprehensive Cancer Center (LCCC)
Nisha Datta, MS - Senior Project Manager, NC TraCS
Simone Frank, MPH - Senior Project Manager, NC TraCS
Jennifer Potter, MPH, CHES - Senior Program Coordinator for Clinical Outreach, LCCC
Members of the NC TraCS Community and Patient Advisory Board and the UNC Lineberger Community Advisory Board

Register

Engaging Patient, Community, and Other Partners in Your Research is a multi-part online training series. You may register for the entire series OR any single training session. This training series was developed collaboratively with patient, community, and researcher partners and is co-sponsored by the UNC Lineberger Comprehensive Cancer Center and NC TraCS Institute.

“Human-in-the-Loop” Thematic Analysis: Using R to Apply Current Recommendations for Incorporating LLMs into Qualitative Research

Do you want to explore current research recommendations in the literature on incorporating LLMs into qualitative/mixed methods data analysis, or are you interested in implementing LLMs into your qualitative/mixed methods workflow? If so, this short course is designed for you!

In this course we will examine current recommendations from the literature regarding integrating AI (specifically LLMs) into the process of qualitative coding. Acknowledging that a wide range of qualitative approaches exist, all examples and recommendations in this course will be based on the 6 Phase Thematic Analysis Framework proposed by Braun & Clarke 2006 to simplify the course scope.

No perquisites in qualitative methods or coding are required for this course – just bring your computer & your curiosity!

Register

Join us for an in-person workshop to learn more about AI workflows for data science with clinical applications. Large language models have rapidly moved from novelty to everyday use in teaching, research, software development, and data analysis. This workshop offers a practical framework for understanding and using modern AI systems by distinguishing among standalone large language models, chat agents, and full agents that connect models to tools and execution environments.

In this workshop, you will learn:

• Key principles that shape successful outcomes in practice
• Best practices for working effectively with chat agents
• How agents can support each phase of the data science lifecycle
• How to run agents securely and responsibly

Workshop location: Brinkhous-Bullitt Bldg., 2nd floor, room 219