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New Seminar: Build Custom AI Compliance Tools for Qualitative Research (Jan 7-8, 2026)
Ethical AI for Qualitative Research: Build Your Custom STRESS Compliance ToolsA 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 ChallengeAI 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 SolutionThis 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 Who Should AttendPhD 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
Seminar Details📅 Day 1: January 7th, 2026 | 11:00 AM - 1:00 PM ET In collaboration with Instats (https://instats.org/) Stop guessing. Start defending your work with evidence-based ethical AI practices. Best regards, |
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Are you analyzing qualitative interviews, open-ended surveys, or focus group transcripts? This week's tutorial dives deep into ATLAS.ti Web, a user-friendly cloud platform that simplifies your entire qualitative research process — no software download required! 🔍 What you'll learn: Setting up a new project in your browser Uploading and managing Word, PDF, or Excel documents Organizing participant demographics into analyzable groups Performing manual or AI-assisted coding Linking codes to...
In the evolving world of AI, one thing remains constant: the need for data privacy and control. That’s why I’m excited to share a powerful new approach—using GPT-OSS 20B, an open-source AI model you can run entirely on your own machine. This week’s video walks you through: Installing LM Studio, a free platform for running local AI models Downloading and loading the GPT-OSS 20B model Running content and thematic analysis on qualitative data—all without ever going online Whether you’re a...