ECOSOC Humanitarian Affairs Segment

Addressing internal displacement associated with disasters and conflict: Planning for the long haul

25 June 2019, 17.45 - 19.15 

Room XXII, Palais des Nations, Geneva

This year, IDMC jointly organised a side event at the UN Economic and Social Council's (ECOSOC) Humanitarian Affairs Segment (HAS) under the auspices of the GP20 Plan of Action for Advancing Prevention, Protection and Solutions for IDPs with our partners OCHA, UNHCR and the Special Rapporteur on the Human Rights of IDPs.
 
The HAS is a unique platform that brings together UN Member States, UN organisations, humanitarian and development partners, the private sector and affected communities. Each June, they discuss and agree on how to best tackle the most recent and pressing humanitarian concerns. One of the main themes of this HAS is better addressing the humanitarian impacts of disasters and climate change.

The side event explored the parallels and distinctions between internal displacement caused by conflict and disasters as well as good practices, challenges and opportunities in addressing these complex issues.

Event moderated by:
United Nations Office for the Coordination of Humanitarian Affairs
Mr. Hansjoerg Strohmeyer, Chief Policy Branch


Keynote Speaker:
UN Special Rapporteur on the Human Rights of IDPs
Ms. Cecilia Jimenez-Damary
 

Panelists:
Mission of Iraq to the United Nations in Geneva
Ms. Mayada Al-Karaghouli, Second Deputy Permanent Representative, Minister Plenipotentiary

European Civil Protection and Humanitarian Aid Operations
Monique Pariat, Director-General DG

Internal Displacement Monitoring Centre
Bina Desai, Head of Policy and Research

Envoy of the Chair of the Platform on Disaster Displacement
Professor Walter Kälin. 


ECOSOC HAS Trade Fair 

Along with the formal programme and side events, OCHA is organising a trade fair to showcase the work of various organisations. IDMC will present our Internal Displacement Event Tagging Extraction and Clustering Tool (IDETECT) and our disaster displacement risk model. IDETECT is natural language processing and supervised machine learning tool which automates the monitoring of information on internal displacement. Our risk model enables public actors to anticipate, prevent and build resilience towards displacement associated with natural hazards. 
 

Find more information about this year's HAS here.

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