AI-Augmented Research in the Social Sciences & Humanities AI Stack Setup Sprint AI-Augmented Research in the Social Sciences & Humanities: Applied AI cours for Master and PhD level studens in Social Sciences & Humanities

Doctoral This course equips researchers and advanced students in the Social Sciences and Humanities with a rigorous, practice-grounded framework for integrating artificial intelligence across the scholarly research lifecycle. It is not a survey of AI tools. It is an epistemological training in AI-augmented inquiry: how to deploy generative AI and semantic search in ways that are methodologically sound, ethically defensible, and disciplinarily appropriate.The 24-hour format is structured as six cumulative sessions, each comprising theoretical framing, a live demonstration, two hands-on application labs, a structured debrief, and an optional stretch challenge. Students leave every session with a tangible artefact that contributes to their final research portfolio.The course emerges from active PhD research practice at GRANEM (Université d'Angers) — every technique is currently in use in real manuscript preparation, conference submission, and systematic literature review workflows across France, Morocco, and the United States.