New Seminar: Build Custom AI Compliance Tools for Qualitative Research (Jan 7-8, 2026)


Ethical AI for Qualitative Research: Build Your Custom STRESS Compliance Tools

A 5-Hour Seminar with Dr. Philip Adu | January 7-8, 2026

Dear Colleagues,

Are you using AI in your qualitative research but uncertain about how to defend it to IRBs, dissertation committees, or journal reviewers? This seminar provides the solution.


The Challenge

AI tools like ChatGPT, Claude, and Gemini offer powerful efficiencies—but raise critical questions about transparency, rigor, and ethical compliance. How do you maintain research quality while leveraging AI? How do you create documentation that satisfies oversight bodies?

The Solution

This intensive seminar teaches the STRESS Framework™ (Sensitivity, Transparency, Responsibility, Ethics, Skepticism, Security) and guides you in building two custom AI compliance tools:

✓ STRESS Chatbot – Your ethical decision guide for responsible AI use throughout your research
✓ STRESS Framework Assistant – Generates compliance reports and documentation for IRB submissions and journal methods sections


Who Should Attend

PhD students, faculty, post-docs, and researchers in education, social sciences, public health, and program evaluation using methods like thematic analysis, grounded theory, ethnography, or case studies.


What You'll Leave With

  • Two functional, customized AI tools ready to use immediately
  • System instruction templates for ChatGPT, Claude, and Gemini
  • IRB-ready documentation examples
  • Confidence to defend your AI-assisted research
  • 30-day access to recordings, materials, and Q&A forum
  • Official Instats certificate of completion

Seminar Details

📅 Day 1: January 7th, 2026 | 11:00 AM - 1:00 PM ET
📅 Day 2: January 8th, 2026 | 11:00 AM - 2:00 PM ET
💻 Format: Live via Zoom with hands-on sessions
🔗 Register: https://instats.org/seminar/ethical-ai-for-qualitative-research

In collaboration with Instats (https://instats.org/)


Stop guessing. Start defending your work with evidence-based ethical AI practices.

Best regards,
Dr. Philip Adu
Center for Research Methods Consulting

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