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Humanitarian Evidence Programme: What can we learn about identifying and prioritizing vulnerable people from shelter self-recovery and urban response evidence?

17 octobre 2017, 14 h 30 min - 16 h 00 min BST


Join the Humanitarian Evidence Programme team (Oxfam/Tufts University), systematic review authors Elizabeth Parker (Independent – Shelter), Victoria Maynard (University College London – Shelter) and Ronak Patel (Harvard Humanitarian Initiative – urban crises), and Lucy Earle (Urban Crises Programme, DFID), to discuss the findings of two reviews and syntheses of the research evidence:

   • bullet What examples emerge of good practice and successful interventions?
• bullet What do we know about what works and what doesn’t in terms of identifying and prioritizing those most in need? How do we classify and contextualize ‘vulnerability’ in practice?
• bullet What data can governments and humanitarian agencies collect before, during, and after a crisis that might help improve humanitarian response in urban contexts or shelter self-recovery?
• bullet What are the gaps in the evidence base and what can researchers and practitioners do to generate better evidence in the future?


You can send us specific questions of your own when you register for the event or on the day via the webinar chat function. You can also join the #HumanitarianEvidence conversation on Twitter.

The webinar will be recorded and available at a later date, alongside other programme outputs (including evidence briefs and guides) at:

The Humanitarian Evidence Programme is a partnership between Oxfam GB and the Feinstein International Center at the Friedman School of Nutrition Science and Policy, Tufts University. It is funded by the United Kingdom (UK) government’s Department for International Development (DFID) through the Humanitarian Innovation and Evidence Programme. Views and opinions expressed do not necessarily represent those of Oxfam, Tufts or the UK government.



Date :
17 octobre 2017
Heure :
14 h 30 min - 16 h 00 min
Prix :
Site Web :


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