Cori Simmons

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FEINSTEIN PUBLICATIONS

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

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…

Early Warning and Early Action in the IGAD Region: Predictive Analytics and Machine Learning Approaches to Support EW-EA

This study examines the links between early warning and early action (EW-EA) in East Africa. The report deals specifically with new technology in predictive analytics and machine learning to enhance approaches to EW-EA.

Early Warning and Early Action in the IGAD Region: Description of Regional and National EW-EA Systems

This study examines the links between early warning and early action (EW-EA) in East Africa. The report describes existing regional and national EW-EA systems.

Early Warning and Early Action in the IGAD Region: Main Report, Findings, and Recommendations

This study examines the links between early warning and early action in East Africa. The report provides the background to the study, a brief conceptual overview, the main findings of the study, and the recommendations to FAO and IGAD.

2020 Hindsight? The Ecosystem of Humanitarian Diagnostics and Its Application to Anticipatory Action

The nature of humanitarian crises has changed over the past two decades. These changes demand increased anticipatory humanitarian action and improved information to guide that action. The COVID 19 pandemic…

FEINSTEIN RESEARCH PROJECTS

Rebuilding the Humanitarian Information Ecosystem

This project includes studies on early warning and assessment of crises, specifically looking at real-time monitoring, anticipatory action, political constraints, data collection and analysis, and the validity of indicators.

Humanitarian Information Systems: Anticipating, Analyzing, and Acting in Crisis

This study seeks to understand the availability and quality of information, and the external influences on data collection and analysis for the classification of food emergencies.