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 2019-2021
Country Angola Botswana Burundi Ethiopia Kenya Lesotho Madagascar Malawi Mozambique Namibia Rwanda Somalia South Africa South Sudan Swaziland Tanzania Uganda Zambia Zimbabwe
Client
UNICEF Improved Level of Disaggregation and Quality of Nutrition Survey and Rapid Assessment of Data Through the use of Spatial Sampling Methods and Improved Data Analysis Long Term Agreement (LTA)
Research and Evaluation PROJECTS
Nutrition status across East and Southern Africa is typically monitored through a national level, representative population survey at most every four to five years, which means that, often, up-to-date information for many countries is lacking. The objective of this two-year Long Term Agreement (LTA) is to increase the uptake of innovative spatial survey methods for all 21 countries in the East and Southern African region to more closely monitor progress toward achieving national, regional and global nutrition targets. Specifically, the LTA facilitates the availability of technical expertise in spatial surveying methods, data analysis techniques, and mapping of results to facilitate provision of in-country technical support for surveys and assessments. Kimetrica offers area-based sampling methods to estimate and map nutritional status data at both regional and national levels.
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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 2008
Country Angola Botswana Ethiopia Kenya Lesotho Malawi Mozambique Rwanda South Sudan Sri Lanka Sudan Tanzania Uganda Zambia Zimbabwe
Client
Microdata Management Toolkit Training
Research and Evaluation PROJECTS
The Microdata Management Toolkit developed by the World Bank Data Group for the International Household Survey Network aimed to promote the adoption of international standards and best practices for microdata documentation, dissemination and preservation. To this effect, Kimetrica conducted hands-on microdata management training for the National Bureaus of Statistics in 15 African countries. In Sri Lanka, Kimetrica trained national staff in improved methods for data capture, documentation, data storage and dissemination of microdata and metadata related to national surveys, such as household and expenditure surveys, population census and health surveys. The training included an introduction to the Organisation for Economic Co-ordination and Development's (OECD) Microdata Management Toolkit, an easy-to-use system for survey data management.