AIxMultilateralism: Can AI Predict A Crisis? with Dr. Martin Waehlisch

AIxMultilateralism: Can AI Predict A Crisis? with Dr. Martin Waehlisch

From The Next Page by United Nations Library & Archives Geneva

February 13, 2026 · 29 min · Episode 174

About this episode

The episode explores the potential of AI in predicting and responding to crises with Dr. Martin Waehlisch.

This is AI x Multilateralism, a playlist of conversations at the Commons, our space at the UN Library & Archives Geneva for sharing knowledge on multilateralism. In this series, we’re joined by experts who help us unpack the many ideas and issues at the nexus of AI and international cooperation. In this episode we ask: can AI help us better predict, respond to, and recover from crises? We’re joined by Dr. Martin Waehlisch, Associate Professor of Transformative Technologies, Innovation and Global Affairs at the University of Birmingham. He’s also part of the Research Team of the Crisis Computing Project, a global community of scholars and practitioners who are driven to put computation to better use. He shares: what drives his teaching today on transformative technologies, and why he prefers the term “computational global affairs” to “international affairs” in today’s world what exactly crisis computing means, and the kinds of crises he hopes that AI can help us to address, from complex climate prediction to public participation in decision-making the potential of crisis computing at the local, regional and multilateral level, and his thoughts on how crisis computing can be…

People in this episode

Guest: Dr. Martin Waehlisch

Topics covered

  • AI
  • multilateralism
  • crisis prediction
  • international cooperation
  • transformative technologies

Keywords

  • AI
  • crisis computing
  • multilateralism
  • international cooperation
  • transformative technologies
  • UN
  • climate prediction

Mentioned in this episode

Organizations: University of Birmingham, Crisis Computing Project, UN Library & Archives Geneva, UN General Assembly

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