SMU Classification: Restricted Dear colleagues, Together with Seraphine Maerz<https://seraphinem.github.io> (Uni Melbourne), we are offering a full-day online workshop on “AI-Powered Qualitative Analysis in R<https://instats.org/seminar/ai-powered-qualitative-analysis-in-r>” with Instats<https://instats.org/>, a live-streamed course to be offered on December 12. While we start at 11am (AEST), participants can join asynchronously, including full online support in our workshop forum. The workshop is designed for qualitative researchers, with no prior R knowledge required. Key topics and learning objectives include: * Learn AI-assisted qualitative coding — from sentiment and ideology detection to multimedia annotation. * Discover quallmer and ellmer — flexible, transparent tools (R packages) that go beyond typical built-in AI features in qualitative software. * Get hands-on with real data — text, PDFs, images, and audio * Work ethically and securely — understand privacy concerns, data protection, and model-choice trade-offs. * Validate and compare results — test AI reliability with human coders. * Build reproducible pipelines — automate, document, and scale your analyses. * Integrating AI outputs into existing qualitative methods — reflexive use, critical interrogation, and maintaining interpretive depth. * Troubleshooting and best practices — common pitfalls and best practices. Seraphine also offer a workshop on fine-tuning LLMs for further customisation, for more information, see here.<https://instats.org/seminar/fine-tuning-llms-for-text-analysis> Best wishes, Ken Kenneth BENOIT Dean; Professor of Computational Social Science School of Social Sciences Singapore Management University School of Social Sciences 10 Canning Rise Singapore 179873 www.smu.edu.sg<http://www.smu.edu.sg/> [image.png]