Hi everyone Instats is excited to offer a 1-day seminar, AI for Systematic Reviews & Meta-Analysis <https://instats.org/seminar/ai-for-systematic-reviews-and-meta-analy>, livestreaming on October 17 and led by professors Piers Steel from the University of Calgary and Hadi Fariborzi from Mount Royal University. Systematic reviews and meta-analyses are the gold standard for cumulative science, yet traditional workflows are slow and labor-intensive. This hands-on workshop shows you how to pair rigorous review methodology with cutting-edge AI—including LLMs, computer vision for PDFs, and API-driven metadata retrieval—to expand projects from hundreds to thousands of studies without sacrificing transparency or reproducibility. Working through the 4P Framework (Pull · Pick · Prep · Push), you will learn to craft high-recall search strategies, automate deduplication and screening, extract and compute effect sizes with AI assistance, run advanced meta-analytic models, diagnose heterogeneity and publication bias, and generate fully reproducible outputs. Deliverables include a 4P workbook, an AI prompt library, effect-size cheatsheets, and ready-to-adapt scripts.
Sign up today <https://instats.org/seminar/ai-for-systematic-reviews-and-meta-analy> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
