Our Projects
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Year 2019-2026
Country Angola Burkina Faso Burundi Cameroon CAR Chad Djibouti DRC El Salvador Ethiopia Guatamala Haiti Honduras Kenya Lesotho Liberia Madagascar Malawi Mali Mauritania Mozambique Nicaragua Niger Nigeria Rwanda Senegal Sierra Leonne Somalia South Sudan Sudan Tajikistan Tanzania Uganda USA Yemen Zambia Zimbabwe
Client
Modeling and Simulation PROJECTS
Research and Evaluation PROJECTS
FEWS NET Pillar 2: Management of a FEWS NET Learning and Data Hub
Information Management PROJECTS
USAID’s Famine Early Warning System Network (FEWS NET) project is the agency’s longest-running activity. Created in 1985 by the US Agency for International Development (USAID) and the US Department of State after devastating famines in East and West Africa, FEWS NET provides near real-time analysis on famine threats in more than 38 highly-vulnerable countries around the world.
The FEWS NET Learning and Data Hub (“the Hub”) provides a mission-critical, web-based Information Management System (IMS) to enhance the ability of analysts to provide evidence-based decision-making about humanitarian assistance. It is designed to serve FEWS NET team members and their partners with the technology platforms and strategies necessary to manage, analyze, and disseminate FEWS NET data, information, and other knowledge products.
The Hub’s Data Management Platform (DMP) workstream consists of a set of activities that are designed to manage, maintain, and improve the FEWS NET DMP, including the FEWS NET Data Warehouse (FDW) and the FEWS NET Data Explorer (FDE), as well as other digital applications needed to store, manipulate and disseminate the core FEWS NET databases. It also includes activities related to the design and management of new datasets, visualizations, and analytical tools, as requested by USAID.
The FEWS NET website platform provides monthly reports and maps detailing current and projected levels of food insecurity; alerts on emerging or likely crises; and specialized reports on weather and climate, markets and trade, agricultural production, livelihoods, nutrition, and food assistance. The Hub team is responsible for managing, maintaining and improving the FEWS NET website platform, while the implementer of the EW team is responsible for the primary early warning analysis and reporting under FEWS NET, as well as for uploading its critical information products directly onto the website.
The Hub’s mandate for Knowledge and Learning is to make FEWS NET food security-related data and knowledge products more accessible to FEWS NET team members, as well as to users and for uses outside of the FEWS NET team.
Through our management of the FEWS NET Data Hub, Kimetrica is helping USAID to sustainably prevent food insecurity and famine by providing timely, relevant, and evidence-based analysis on the causes, levels, and consequences of food insecurity. In turn, the analysis drives decision-making at international, national, and local levels.
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"[Kimetrica's] work with the Famine Early Warning Systems Network is truly inspiring. Because of [Kimetrica's] devotion to this topic, USAID is more effectively able to identify food insecurity throughout the world and save lives."
~ The Honorable Mr. Joe Neguse, US Congressman, 2nd District of Colorado
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Year 2011-2019
Country Angola Burkina Faso Burundi DRC Ethiopia Kenya Lesotho Malawi Mali Mauritania Mozambique Niger Nigeria Rwanda Senegal Sierra Leonne Somalia South Sudan Sudan Tanzania Uganda Yemen Zambia Zimbabwe
Client
Modeling and Simulation PROJECTS
Research and Evaluation PROJECTS
FEWS NET Technology Support Contract
Information Management PROJECTS
The USAID-funded Famine Early Warning Systems Network (FEWS NET) -- reporting on conditions in 36 countries from 22 field offices around the world -- traditionally relied on its own personnel based in food insecure countries and official in-country partners, to collect and assess information and data needed to identify and monitor levels of food security in vulnerable populations. The data collection method depends on proximity to, or direct contact with, the hungry populations from whom the information and data are gleaned. The scope and the amount of data that FEWS NET can theoretically collect is therefore constrained by the resources available from its FEWS NET Implementation Team (FIT) members (USAID, NASA, NOAA, USDA, USGS, and a private-sector contractor) and other official and unofficial partners.
The FEWS NET Technology Support Contract (TSC) assisted USAID’s FEWS NET in identifying and implementing new technologies to enhance team collaboration and to broaden data collection, analysis and dissemination methods. The project supported the FIT to enhance intra-team early warning collaboration, analysis, and dissemination capabilities, and to expand across the board capacity to gather new and greater quantities of food security information and data through the application and use of new early warning information technologies.
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Year 2014-2015
Country Nigeria
Client
Social Protection Mapping in Boko Haram Impacted Regions
Research and Evaluation PROJECTS
Kimetrica was contracted to map existing social protection initiatives geared toward improving access to health services for populations, particularly women and children, in the two northern Nigerian states impacted by Boko Haram insurgents. After completing the mapping, Kimetrica analysed the impact of the existing programs and their effectiveness in improving maternal and child health in those states. Finally, Kimetrica assessed the relevance and feasibility of different forms of health related social protection initiatives, including cash transfers and community health insurance schemes. The work was used in the development of the United Nations Children's Fund's (UNICEF) social protection strategy for Nigeria.
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Year 2013-2014
Country Mozambique Nigeria USA
Client
Service Delivery Indicator Survey Support
Large-Scale Surveys PROJECTS
As part of the World Bank’s Global Service Delivery Indicator Surveys, the Kimetrica research team developed data capture applications using the Census and Survey Processing System (CSPro), and trained local firms in data entry and data quality control. In addition, Kimetrica’s statisticians provided support in data quality reviews as well as recommendations on data improvements to ensure accurate and comprehensive analysis. The work had a significant impact on data quality and capacity development in survey and data management systems among local firms.