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11. Indigenous Early Warning in Karamoja, Uganda

Author:
Oliver V. Wasonga and Raphael Lotira Arasio
Publication Date:
11-2022
Content Type:
Special Report
Institution:
Feinstein International Center, Tufts University
Abstract:
An effective early warning system (EWS) is a prerequisite for timely response to avert and mitigate the impacts of disasters that affect pastoralist and agro-pastoralist communities. Whereas there exist various forms of EWS in Uganda, the main concerns have been whether the early warning information is timely, accurate, accessible, and elicits early action. These questions point at inefficiencies in the conventional EWS in the country and the importance of the indigenous early warning system (IEWS) used by rural communities. These indigenous systems are especially important where conventional early warning information is inaccessible or coarse and therefore not suitable for guiding location-specific decisions.
Topic:
Agriculture, Pastoralism, Indigenous, and Early Warning
Political Geography:
Uganda and Africa

12. The 2022 Humanitarian Crisis in Karamoja, Uganda: A real-time review

Author:
Raphael Lotira Arasio and Adrian Cullis
Publication Date:
11-2022
Content Type:
Special Report
Institution:
Feinstein International Center, Tufts University
Abstract:
This real-time review aims to document the events that led to Karamoja’s hunger crisis in 2022, the reporting of the worsening situation by early warning systems, and the responses of the Government of Uganda and the international aid community. The review took place from the September 27–October 21, 2022.
Topic:
Food Security, Pastoralism, Resilience, Nutrition, Early Warning, and Malnutrition
Political Geography:
Uganda and Africa

13. Fragile States Index 2021 – Annual Report

Author:
Natalie Fiertz, Nate Haken, Patricia Taft, Emily Sample, and Wendy Wilson
Publication Date:
05-2021
Content Type:
Special Report
Institution:
The Fund for Peace
Abstract:
The Fragile States Index, produced by The Fund for Peace, is a critical tool in highlighting not only the normal pressures that all states experience, but also in identifying when those pressures are pushing a state towards the brink of failure. By highlighting pertinent issues in weak and failing states, The Fragile States Index—and the social science framework and software application upon which it is built—makes political risk assessment and early warning of conflict accessible to policy-makers and the public at large.
Topic:
Climate Change, Authoritarianism, Employment, Fragile States, Economy, Political stability, Conflict, Crisis Management, Peace, Resilience, COVID-19, Health Crisis, Early Warning, and Risk Assessment
Political Geography:
Africa, Europe, Middle East, Tajikistan, Germany, Armenia, Central America, Spain, Lebanon, Timor-Leste, North America, Ethiopia, Southeast Asia, El Salvador, Global Focus, and United States of America

14. Scalable Early Warning Systems for School Dropout prevention: Evidence from a 4.000-School Randomized Controlled Trial

Author:
Francisco Haimovich, Emmanuel Vazquez, and Melissa Adelman
Publication Date:
08-2021
Content Type:
Working Paper
Institution:
Center for Distributive, Labor and Social Studies (CEDLAS)
Abstract:
Across many low- and middle-income countries, a sizable share of young people drop out of school before completing a full course of basic education. Early warning systems that accurately identify students at risk of dropout and support them with targeted interventions have shown results and are in widespread use in high-income contexts. This paper presents impact evaluation results from an early warning system pilot program in Guatemala, a middle-income country where nearly 40 percent of sixth graders drop out before completing ninth grade. The pilot program, which was implemented in 17 percent of Guatemala’s primary schools and largely leveraging existing government resources, reduced the dropout rate in the transition from primary to lower secondary school by 4 percent (1.3 percentage points) among schools assigned to the program, and by 9 percent (3 percentage points) among program compliers. Although the effect size is relatively modest, the low cost of the program (estimated at less than US$3 per student) and successful implementation at scale make this a promising and cost-effective approach for reducing dropout in resource-constrained contexts like Guatemala.
Topic:
Education, Management, Schools, Dropout Prevention, Early Warning, and Impact Evaluation
Political Geography:
Central America and Guatemala