STFM Collaboratives: Explanation and How to Join

On STFM CONNECT, our member community platform, members have the opportunity to join groups called collaboratives related to their specific professional interests or focuses.

What Are STFM Collaboratives?

STFM CONNECT features STFM collaboratives, which are topic-specific STFM communities that develop national curriculum on specific topics, host webinars, apply for project funding, and more objectives.As part of being an STFM member, you can join whichever collaboratives are of interest to you.

How to Join a Collaborative

Look through the list of STFM collaboratives below. If you're interested in joining one, click the button below to begin the process. Email Emily Nitcher, Membership Engagement Manager, at enitcher@stfm.org with questions.

What Is STFM CONNECT?

STFM CONNECT is our member-driven community platform where family medicine educators discuss important topics related to the specialty, ask questions related to pressing challenges, share upcoming events or career development opportunities, and collaborate on projects.

All STFM Collaboratives

Interested in Being a Collaborative Leader?

Collaboratives follow a tri-leader model (immediate past chair, current chair, and incoming chair) and have the option to establish a steering committee for better continuity and smooth leadership transitions.If you are interested in chairing a collaborative, you must first be a member of the collaborative. You can then reach out to current leadership expressing your interest in serving in a leadership role.

Interested in Starting Your Own Collaborative?

In order to start a new collaborative, you must submit the names and email addresses of 30 interested STFM members, along with the scope of the work and goals of the new collaborative. Email this information to Emily Nitcher, Membership Engagement Manager, at enitcher@stfm.org.

Ready to Join?

Join an STFM Collaborative and participate in crucial conversations related to academic family medicine.

JOIN A COLLABORATIVE TODAY

Collaborative Awards

Family and Behavioral Health Collaborative

Family and Behavioral Health Collaborative

Deborah Taylor Mid-Career Award

This annual award recognizes the contributions of an STFM member demonstrating a commitment to fostering connection, collaboration and community among those in the field of behavioral science in primary care. Qualified candidates will have a demonstrable history of encouraging, mentoring and contributing to the development of early career behavioral scientists. Award recipients will have contributed to multiple areas of behavioral science (research, program development, administration, clinical, committee work, etc.). The award winner is considered an advocate for the promotion of behavioral science and demonstrates a personal and academic commitment to fostering resilience.

This award is named after Dr Deborah Taylor who demonstrates leadership, advocacy and contribution to family and behavioral science as well as an enduring passion for the education, mentoring and support for early career behavioral scientists in the primary care residency setting.

Award Winners

  • 2026: Katherine Fortenberry, PhD
  • 2025: Molly Clark, PhD
  • 2024: Carlie Nikel, PsyD
  • 2023: Katherine Bergs, PhD, LMFT
  • 2022: Terri Wall, PhD
  • 2021: Sarah Dewane, PhD
  • 2020: Randall Reitz, PhD

Susan McDaniel Distinguished Career Award

Established in 2015, the Susan McDaniel Distinguished Career Award recognizes the contributions of an STFM member with notable, influential, and longstanding contributions in the areas of family and behavioral sciences within one or more family medicine residency programs, departments, institutions, states, and national or international levels. The recipient of this award will have exhibited leadership, mentorship, innovation, and clear evidence of a career dedicated to advancing the relevance of family and practice of behavioral science in family medicine. Award recipients demonstrate a strong commitment to teaching, research, and/or clinical endeavors within family medicine.

This award is named after Dr Susan McDaniel, who epitomizes commitment to family and behavioral science education and practice in family medicine, advocacy, innovation, and tirelessly pushing the boundaries on the status quo without the expectation of self-gain or promotion.

Award Winners

  • 2026: Amy Romain, LMSW, ACSW
  • 2025: Linda Myerholtz, PhD
  • 2024: Sandra Burge, PhD
  • 2023: Jeff Ring, PhD
  • 2022: Kathryn Fraser, PhD
  • 2021: Julie Schirmer, LCSW
  • 2020: Dennis Butler, PhD
  • 2019: Tina Runyan, PhD
  • 2018: Larry Mauksch, MEd
  • 2017: Jeri Hepworth, PhD
  • 2016: Susan McDaniel, PhD
Ask a Question
AI Chatbot Tips

Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:

Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:

Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:

Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:

Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:

Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

Double Check Important Information

While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

Technical Limitations

The Chat Assistant:

  • Cannot access external websites or open links
  • Cannot process or view images
  • Cannot make changes to STFM systems or process transactions
  • Cannot access real-time information (like your STFM Member Profile information)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.