Humanitarian Networks and Partnerships Weeks

Session title: Leveraging historical disaster data to enhance anticipatory action and crisis responses

Organizer(s): IFRC, OCHA, PDC, JRC, WFP, Google

25 Mar 25 09:00-10:30 UTC+1 (Salle 14)

SessionAbstract

Over the last years, there has been enormous progress using predictive models to assess risk and the impacts of specific forecasted hazardous events. This information is now being used to disseminate life-saving early warnings, disburse funding ahead of crises and inform operational decision-making.

In order to validate models, tune them and assess their performance over time, we need to leverage vast amounts of historical data about past hazards and their impacts. Fortunately, the humanitarian and climate communities have made enormous strides in this domain as well. There is more information available now than before about the likelihood of future events, their impacts and how they compare to past events.

This interactive session aims to help stakeholders who are interested in accessing and using this data do so, facilitated by a group of experts from key institutions from the UN, academia, international organisations, government and the private sector.

Agenda

The session is designed to be interactive, with participants encouraged to bring laptops.

9:00 - 9:15	Session introduction
9:15 - 9:45	Demonstration of key tools available
9:45 - 10:30	Feedback from participants and problem owners, and interactive demos with in-person and online participants facilitated by experts
10:30	Closure of session

Speakers

Name(s)	Organisation(s)	Topic/initiative
Justin Ginnetti	IFRC	Scientific and Technical group onEMergencies(STEM)and Monty (general)
ChiaraProietti	EC-JRC	GDACS (Chiara to complete)
SubinaSharma Rajopadhyaya	ToggleCorp	Montandon and its new API
Emmanuel Mathot	Development Seed	Montandon and its new API
Daniel Soares and EvangelosDiakatos	MapAction	Algorithmic pairing of Montandon records – and its applications

Michael Manalili	WFP	ADAM
Federico Barreras	Give Directly	Using Google flood forecasts and historical data to enable AA in Nigeria and Bangladesh