This seminar explores how frontier AI systems can be organized into specialized research 'teams' or multiple-agent workflows that support orchestrated literature review, analysis, synthesis, writing, and verification all under human control. It combines conceptual depth with practical demonstrations to help researchers design more reliable and academically defensible AI-supported workflows.
This seminar explores how agentic AI can be integrated into academic research as a disciplined, verifiable, and human-led method rather than a generic productivity tool. It provides practical frameworks for responsible use, workflow verification, and multi-agent research design across literature work, analysis, writing...
This workshop explores how autonomous AI agents can support scientific research in R, from conceptual distinctions between chat systems and agentic workflows to practical deployment with open-source tools (OpenCode). It is designed for researchers who want to use AI critically, securely, and effectively in data-intensi...
This workshop covers the principles and practice of building multi-agent LLM workflows in R using the mini007 package and best practices for reproducible, research-ready automation.
This workshop explores how AI can be used responsibly across the research lifecycle, from literature discovery and question development to computational analysis, writing, and publication and gives a practical framework for deciding what AI can assist with and what must remain human-led.
Ready to upgrade your AI-for-research skills beyond prompting? This seminar is designed for researchers who want to build more effective and reliable research workflows. We will explore AI agents, skills, vibe coding, etc, turning these familiar buzzwords into high-power tools that become part of your own AI toolkit. B...
This seminar explores how to treat artificial intelligence as a configurable research method rather than a chatbot or generic software tool. It provides a rigorous framework for validating AI-enabled workflows, designing defensible studies, and making scientific claims that remain consistent with the available evidence...
M. Zyphur· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
