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Begin New Search Topic Hunger Author Daniel Maxwell

1. “I could not sleep while they were hungry”: Investigating the role of social networks in Yemen’s humanitarian crisis

Author:
Jeeyon Janet KIm, Alex Humphrey, Maha Elsamahi, Aws Kadasi, and Daniel Maxwell
Publication Date:
04-2021
Content Type:
Special Report
Institution:
Feinstein International Center, Tufts University
Abstract:
ix years of civil war have left Yemenis in the grip of the world’s worst humanitarian crisis, with more than 16 million food insecure. While external aid is saving lives in Yemen, it is not necessarily the main source by which Yemenis cope during the ongoing crisis. So how are Yemenis coping? Experts on food security in Yemen, research from other contexts, and Yemenis themselves point to an obvious, but often under-recognized source of support: Households are relying on their social connections and support networks for survival. Mercy Corps is undertaking research to help aid actors better understand how social connections are supporting coping and survival in Yemen. This brief report presents initial findings from a study investigating the role of social networks in Yemen’s humanitarian crisis. It includes insights from interviews conducted with nearly 100 respondents in Taiz, Yemen
Topic:
Food, Hunger, Humanitarian Crisis, and Social Networks
Political Geography:
Yemen and Persian Gulf

2. Early Warning and Early Action for Increased Resilience of Livelihoods in IGAD Region

Author:
Daniel Maxwell, Erin Lentz, Cori Simmons, and Gregory Gottlieb
Publication Date:
06-2021
Content Type:
Special Report
Institution:
Feinstein International Center, Tufts University
Abstract:
Multiple calls have been issued for better preparedness, early warning, and, above all, early action to prevent hunger and malnutrition, reduce the scale of food insecurity, improve resilience, and reduce the amount of money spent on responding to crises every year. Nowhere have these challenges been greater than in East Africa. A recent study on food security information systems in East Africa noted that despite years of attention, the link from early warning to early action is still not as effective as it could be. And although conflict is a common driver of humanitarian crisis, conflict early warning and action remains especially weak. As traditional EW-EA systems struggle to meet the challenges, new initiatives are attempting to address the challenges using advanced machine learning and predictive analytics. But part of the issue is the sheer volume of information and how well it informs coherent action. Therefore, our primary recommendation is to “reverse engineer” the EW-EA system. First, consider the actions that can be taken to mitigate known or expected shocks, and then derive the information needs (including PA) from those considerations. This study was commissioned by the FAO Subregional Office for Eastern Africa to examine the links between early warning and early action (EW-EA) in East Africa. This study reviews current EW-EA systems in East Africa to identify the key constraints to improving early warning and early action, as well as practices and emerging initiatives relying on predictive analytics and machine learning, to ensure early warning systems suit the needs of decisionmakers and enable early action for improved resilience in the Intergovernmental Authority on Development (IGAD) region.
Topic:
Hunger, Humanitarian Crisis, Resilience, and Malnutrition
Political Geography:
Africa