Our Projects

  • Year 2019-2026

    Country Afghanistan Angola Burkina Faso Burundi Cameroon Central African Republic 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

    Research and Evaluation PROJECTS

    Custom Software PROJECTS

    USAID’s FEWS NET 7 Pillar 2: Management of a FEWS NET Learning and Data Hub

    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. Five principles underpin Kimetrica’s approach to the management of the FEWS NET Data Hub:

    1. Client-Driven. The Hub is a service provider to FEWS NET’s data analysis team and consumers of the project’s information. The Hub ensures that all information and knowledge products are designed to meet specific user needs. This is accomplished through continuous dialogue with USAID other FEWS NET partners and a wide range of consumers of FEWS products and information.

    2. Foster a Community of Practice. The Hub provides a platform and tools to ensure that all FEWS NET Team members, including those within USAID, other government agencies, and implementing partners, work within a framework of shared objectives, practices and tools. 

    3. Scalable Solutions. The success of the overall FEWS NET activity depends on the Hub’s ability to provide solutions that are scalable to new countries, new user groups, and new issues, and are appropriate to the realities of developing countries, such as limited internet. Kimetrica’s team strikes the right balance between offline and online tools for data capture, analysis, tabulation and graphics.

    4. Agile Management. The Hub employes an agile approach to project management, which is designed to address the management and technical challenges of FEWS NET’s global operations. This approach ensures that our technical assistance provides well-targeted support and fast delivery of key products to the FEWS NET Team. 

    5. Harmonized Communications. The Hub ensures that the FEWS NET project, which includes several government agencies and companies, speaks with one unified voice, reflecting FEWS NET’s core messages. 

    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

  • Year 2018

    Country Kenya

    Client

    Large-Scale Surveys PROJECTS

    USAID’s Partnership for Resilience and Economic Growth (PREG): Baseline/Endline Data Collection

    USAID’s Partnership for Resilience and Economic Growth (PREG) brings together humanitarian and development partners to build resilience among Kenya’s vulnerable pastoralist communities in the country’s arid and semi-arid lands (ASAL). The partnership focuses on nine vulnerable and high-risk areas and works with the Government of Kenya at both national and county levels to address underlying community vulnerabilities. Kimetrica, in collaboration with its partner, TANGO International, conducted a mixed-method study to assess how the range of USAID-supported interventions contributes to both community and household resilience capacities, and how they improve household responses to shocks and well-being outcomes. Quantitative data collection consisted of a large-scale (2,700 households), representative baseline survey with questions that reflected dietary diversity and food availability, and included an anthropometric component to assess rates of malnutrition, which influence household vulnerability. Simultaneously, qualitative data was collected in the same areas through focus group discussions and key informant interviews to triangulate and understand gender differences. The results of this study served as an Endline for the Resilience and Economic Growth in the Arid Lands (REGAL) impact evaluation and as a Baseline Resilience impact evaluation for the larger PREG Northern Kenya intervention areas. Kimetrica’s work included CAPI-programming (Computer Assisted Personal Interviewing), using CSPro (Census and Survey Processing System), and all aspects of field data collection, from recruitment to training to survey implementation and data capture.

  • Year 2017-2019

    Country Kenya

    Client

    Modeling and Simulation PROJECTS

    Methods for Extremely Rapid Observation of Nutritional Status (MERON)

    Traditional methods for quantifying malnutrition in children involve physical handling of subjects, can be time-consuming and are susceptible to inaccuracy because they require enumerators to interpret the value. Kimetrica has developed an application called Methods for Extremely Rapid Observation of Nutritional Status (MERON) that allows for a non-invasive, time efficient, and tamper-proof approach to assessing the malnutrition status of an individual by using a facial recognition and processing algorithm.

    In 2018, through a United Nations Children’s Fund (UNICEF) innovation grant, Kimetrica achieved proof of concept with MERON for children and a preliminary classification accuracy level of 60 percent, using 3,500 images of children under-five (6-59 months), collected alongside UNICEF's Standardized Monitoring and Assessment of Relief and Transitions (SMART) survey in Kenya.

    MERON's next step for product development is a significant increase in its accuracy for malnutrition detection in children under-five from 60 percent to over 90 percent, which will be achieved through collecting additional image data. Doing so requires the collection of 5,000-15,000 more usable images in tandem with SMART surveys or other nutritional assessments for calibration.

    Once MERON achieves high-quality classification ability, it will offer the following benefits:
    1. An increase in the accuracy of collecting data on malnutrition. 
    2. A cost reduction related to the training of enumerators.
    3. Use of inconspicuous measurement tools. 
    4. A less invasive method to measure malnutrition. (In some cultures parents are sensitive to physical handling of their children.)

    These benefits could, in turn, result in a number of important outcomes for the diagnosis and treatment of malnutrition in children under five. These include:
    1. More appropriate distribution of funding and scarce resources based on accurate measurements.
    2. Savings in resources (resources used for training enumerators to take accurate weight for height measurements; transportation of bulky equipment and opportunity cost for communities participating in surveys).
    3. Easier data collection in hard to access, high risk or conflict areas, and areas where physical handling of children is culturally not acceptable.

    MERON was presented at the Artificial Intelligence for Good Global Summit held in Geneva in May 2018 (Watch the interview) and has been featured in the Smithsonian, New Scientist, Daily Mail and Deutsche Welle.

  • Year 2014-2019

    Country Ethiopia Kenya Somalia South Sudan

    Client

    Research and Evaluation PROJECTS

    Food Security and Humanitarian Monitoring

    Kimetrica conducts food security monitoring in some of the world’s most vulnerable locations. Working in highly insecure environments, Kimetrica’s field based researchers and data collection teams gather primary data from panel surveys of households, markets and health centers. Using tablets and satellite telephones, Kimetrica's staff provide decision makers with near real time information on humanitarian conditions, food availability and population movements.  Kimetrica's cutting edge methodological approach in collecting detailed information allows decision makers to better understand humanitarian conditions and design programs to best respond to immediate needs.  

  • 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

    Research and Evaluation PROJECTS

    Custom Software PROJECTS

    FEWS NET Technical Support Contract

    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.

    FEWS NET 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.
     

  • Year 2016-2018

    Country Kenya

    Client

    Research and Evaluation PROJECTS

    Impact Evaluation of Livelihoods Support to Refugees

    Kimetrica was contracted by UK's Department for International Development (DFID) to conduct an impact evaluation of its program in Kakuma refugee camp, “Supporting the Protection and Assistance of Refugees in Kenya” (SPARK). The livelihoods component of the initiative focused on promoting durable solutions for refugees and better integration of the refugee and host community economies. Kimetrica's research team used a mixed-methods approach, including quantitative surveys, key informant interviews and focus group discussions with beneficiaries, to address several issues, including beneficiary access to interventions, impact on household incomes, local market impacts, and social cohesion with the host community. The final report provided critical data useful for program fine-tuning and policy development related to refugee interventions in Kenya.

  • Year 2016-2018

    Country Kenya

    Client

    Research and Evaluation PROJECTS

    Nutritional Improvements through Cash and Health Education (NICHE) Evaluation

    With technical support from UNICEF, the Kitui County Government in Kenya developed the Nutritional Improvements through Cash and Health Education (NICHE) Program, which targeted households with children under two years of age and/or pregnant women. Kimetrica was contracted to investigate the impact of the program on awareness and understanding of practices leading to improved nutritional status, and improved anthropometric indices. The method used was a randomized control trial (RCT) for a period of one year. Up to 1,000 households were assessed at four different times throughout the year. The study assessed whether combining nutrition counselling with cash assistance led households to choose more nutritious foods.

  • Year 2016

    Country Kenya

    Client

    Research and Evaluation PROJECTS

    County Social Protection Coordination, Mapping and Capacity Assessment

    Kimetrica was commissioned by UNICEF Kenya to map Social Protection interventions and assess mechanisms for coordination of the same efforts at county and sub-county levels, identify capacity gaps, etc. This led to the preparation of best practice guidance and standards for the coordination, implementation and financing of social protection programmes by the Government, development partners, private sector and civil society organizations and a capacity building program for counties and sub-counties.

  • Year 2016

    Country Burkina Faso Gambia Kenya Lesotho Malawi Mali Mauritania Mozambique Niger Zimbabwe

    Client

    Large-Scale Surveys PROJECTS

    African Risk Capacity: Client Feedback Survey

    Kimetrica was contracted by UK's Department of International Development (DFID) to undertake a client feedback survey about the capacity building services provided by the African Risk Capacity (ARC) Agency to its member countries. The survey tools were designed and administered by the Kimetrica team through telephone interviews to Government representatives of 11 member countries. The survey's goal was to determine ARC Member States' satisfaction with the ARC Agency services. The findings of these surveys contributed to the improvement of ARC capacity building in the future. 

  • Year 2015

    Country Kenya

    Client

    Research and Evaluation PROJECTS

    Refugees Vulnerability Study, Kakuma

    Since 1991, the United Nations World Food Programme (WFP) has been providing food assistance to Kakuma Refugee Camp, located in northern Kenya near the border with South Sudan. From 2012 to 2015 donor funding for the Kenyan refugee operation decreased, as global competition for funds increased. In addition, there was a common belief that after more than 20 years of displacement, not all refugees had the same humanitarian assistance needs. In response, WFP, along with The United Nations Refugee Agency (UNHCR), commissioned Kimetrica to undertake a study that examined the levels of refugees' socio-economic vulnerability in the camp. The study provided a comprehensive assessment to improve the understanding of socio-economic vulnerability among refugee households and the socio-economic dynamics among refugee groups. It also provided an evaluation of the feasibility and usefulness of targeted assistance for refugees, based on their actual needs and levels of vulnerability. As part of the study, Kimetrica conducted a livelihoods profile based on a sample of over 1,000 households, analysed the usefulness of delivering targeted assistance, and offered recommendations on the practical aspects of implementation to ensure targeting was fair, safe and successful.