Peter HaileyVisiting Fellow
Peter Hailey is a nutrition specialist with extensive international experience managing large scale nutrition specific and sensitive programs. He recently completed an assignment as chief of nutrition in UNICEF Somalia where he successfully led UNICEF’s extensive scale up in nutrition and cash programming in response to the 2010/11 famine. Prior to this, he worked with UNICEF and NGOs in emergencies around Africa, the Balkans, and Central Asia. In 2014, with a colleague he started a trust, Centre for Humanitarian Change (CHC), based in Kenya working on issues related to a new way of working in the fragile areas of East Africa. His work for CHC has involved consultancies and research on adaptive learning, health system strengthening, surge approaches, localization and marginalization in Somalia, and resilience in East Africa and beyond. He is a member of the Famine Review Committee, an independent committee, supporting the Integrated Phased Classification System in countries where famine is a high risk.
He has published research related to nutrition information systems in emergencies and contributed to research on the 2010/11 famine in Somalia and on famines more widely. His passion is to be wild bush camping with his family in as many places in Africa as possible.
Daniel Maxwell and Peter Hailey published a paper in the Journal of Humanitarian Affairs (JHA) titled, “Analyzing Famine: The Politics of Information and Analysis in Food Security Crises.” This paper synthesizes the…Read More
Daniel Maxwell, Peter Hailey, and colleagues published an article in The New Humanitarian, which discuses how humanitarians must focus on the loss of death and urgently preventing it rather than…Read More
This paper reviews real-time monitoring (RTM), how it fits into a humanitarian information system, how systems quickly adjusted toward RTM in 2020, and provides a series of case studies of RTM systems, their objectives, and their outcomes.Read More
This study employed an active case identification approach to identifying the worst affected households in communities and make recommendations for how classification could be further improved.Read More