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Seminar: From disaster early warning to early action

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Format
Online
Venue

Orion 2050 & 2051, Wageningen Campus

Event language(s)
  • English
Date

Time

10:00 – 13:30 hrs (CEST)

About

We are getting better at developing impact-based weather predictions. Yet recent disasters have shown that a major challenge remains: ensuring that early warnings reach the people who need them most — in time, and in a form that enables meaningful action.

This seminar explores how we can move from early warning to early action. What does it take to translate improved forecasts into effective preparedness on the ground? What barriers still prevent timely response? And how can collaboration between science, policy, and humanitarian practice be strengthened — in the Netherlands and beyond?

The Wageningen Disaster Network joins forces with the NWO-DST Merian LODESTAR project to host this timely discussion. Together, we invite researchers, students, policymakers, and practitioners to attend inspiring keynotes and engage in a dynamic lunchtime panel focused on practical solutions and future directions.

Confirmed keynote speakers

  • Prof. Maarten van Aalst, KNMI (Dutch Met Office)
  • Dr. Maia Brons, Sociology of Development and Change Group, Wageningen University & Research
  • Prof. Marc van den Homberg, Red Cross 510

Lunchtime panel discussion

  • Dr. Sophie Struijk, HKV Lijn in Water
  • Prof. Indu K. Murthy, CSTEP (online)
  • Dr. Samuel Sutanto, Water Systems and Global Change Group, Wageningen University & Research

Practical information

This is a hybrid seminar. You may join in person at Orion on Wageningen Campus or participate online after registering.

  • Registration is free, but required.
  • Lunch is provided for in-person participants who register in time.

Online link to the seminar

For questions, please contact: 
[email protected] 
[email protected]

We look forward to welcoming you for an engaging exchange of ideas on strengthening early warning systems and accelerating early action.

Explore further

Themes Early warning

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