Moving from simple prompts to intellectual co-creation
Generative AI should not be treated as a simple search engine, but as a dialogue partner. This session moves beyond the single prompt to explore how to orchestrate complex, iterative conversations that stimulate critical thinking and enrich project design. 

Transforming raw data into actionable insights without compromising reliability
For MEL and social research professionals, processing qualitative data is often a significant bottleneck. AI offers an opportunity to scale up this work, but it also introduces a risk: losing control over the outputs it produces. This session introduces a rigorous methodology for AI-assisted analysis, maintaining a transparent process in which every AI output remains auditable and subject to human verification.