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Expert opinions, analysis, and forward-looking perspectives on AI’s role in research.
During our first AIRON AI Leadership Conversation, Professor Elena Gaura made an observation that deserves particular attention from those of us working in research management and research support. She suggested that professional research services may increasingly need to stay “three steps ahead” of the research community. This is not about knowing more about science than…
AI adoption in research management is moving quickly. Across universities, research institutes and funding organisations, people are experimenting with ChatGPT, Microsoft Copilot, Claude, AI agents and workflow automation. The appeal is obvious: research management is full of repetitive, information-heavy work, and AI can already help with summarising guidance, drafting communications, reviewing information and preparing reports.…
From GenAI to autonomous agents: understand how emerging AI systems like OpenClaw could transform research operations, workflows and decision-making.
As 2025 ends, AI has become part of everyday research work—even as institutions struggle to keep pace. This reflection explores the widening gap between individual use and organisational readiness, how the AIRON is helping to bridge that divide, and what the sector needs to move responsibly into 2026.
