Our Projects

  • Year 2019

    Country Ethiopia

    Client

    Research and Evaluation PROJECTS

    Technical Assistance to Strengthen the Early Warning System for Food Insecurity in Ethiopia and its Links to a Scalable Rural Productive Safety Net Program (RPSNP)

    Ethiopia is highly prone to climate and weather induced hazards, including droughts. These droughts can lead to failed harvests and reduction in livestock, water shortages and, ultimately, periods of food insecurity and reduced resilience of individuals and households to further shocks. In response, Ethiopia has mature mechanisms in place to manage food insecurity and famine prevention.  However, there is a need for more timely and reliable analysis to help trigger funding decisions. In collaboration with the World Bank, the Government of Ethiopia, and other partners, Kimetrica is carrying out a consultancy to strengthen the food security early warning system, which will bolster the Government’s early warning system to better predict, mitigate, and ultimately reduce the impact of climate and weather induced disasters in Ethiopia.

  • Year 2018-2023

    Country Myanmar

    Client

    Research and Evaluation PROJECTS

    Myanmar Analytical Activity (MAA)

    USAID/Burma selected Kimetrica to carry out its five-year Myanmar Analytical Activity (MAA). Myanmar is a hugely diverse, conflict-affected country undergoing rapid change politically, economically and socially. MAA thus requires timely, precise and highly-relevant reporting on an array of topics affecting the country, its people, and the Mission's varied portfolio. Kimetrica, in cooperation with its sub-contractor Mekong Economics, in Yangon, employs various methods—from interviews with ethnic leaders and citizens in difficult-to-access regions, to satellite imagery and advanced visualization tools—to collect the most precise data possible. Data are systematically analyzed and findings are clearly presented in powerful ad-hoc; monthly; and quarterly reports. These reports, along with Kimetrica's geographic analyses, are subsequently used to inform strategic decision-making within the Mission and beyond.

  • Year 2018-2019

    Country South Sudan

    Client

    Modeling and Simulation PROJECTS

    World Modelers

    Using South Sudan as a case study, Kimetrica is developing parameterized quantitative models to generate key output variables for population, conflict, household economics, water, markets, health, and humanitarian operational response that impact food security. These models will serve as inputs into a continuous process of developing scenario-based decision-support tools which will, over the course of this research, evolve into a Web-based interactive tool. It will allow decision makers to construct plausible scenarios - spatially and temporally defined by the user - and explore a range of response options to mitigate food insecurity.

  • Year 2018

    Country Ethiopia

    Client

    Large-Scale Surveys PROJECTS

    Building Self-Reliance for Refugees and Host Communities: Baseline Study

    Building Self-Reliance for Refugees and Host Communities by Improved Sustainable Basic Social Service Delivery Program (BSRP) is a UNICEF Ethiopia-led effort to improve service delivery in health, nutrition, WASH (water, sanitation and hygiene), education and child protection. In 2018, Kimetrica carried out a baseline study for BSRP in one camp and the surrounding host community in each refugee-hosting region of Ethiopia -- Berhale (Afar), Tongo (Benishangul Gumuz), Pugnido I (Gambella), Kebrebeyah (Somali) and Adi-Harush (Tigray). The baseline study entailed a quantitative survey of 3,000 households; in-depth interviews with providers at 70 service facilities; key informant interviews with 75 implementers, experts and programme staff; and 40 focus group discussions with community members. UNICEF is using Kimetrica's findings to work externally with local providers and partners, and internally, within UNICEF, to maximize BSRP's effectiveness and efficiency.

  • 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 2018

    Country Ethiopia

    Client

    Large-Scale Surveys PROJECTS

    USAID's Livelihoods for Resilience (L4R) Activity: Baseline Data Collection

    USAID's Livelihoods for Resilience (L4R) in Ethiopia focuses on four priority areas that support and enhance livelihood opportunities for chronically food insecure households in targeted regions and woredas (administrative divisions): 1) on-farm income generating activities (IGAs) and crop and livestock market systems; 2) off-farm IGAs and non-farm enterprise development; 3) non-farm labor and wage employment; 4) collaborative learning for scaling up and sustaining gains made in the three livelihood pathways (i.e., on-farm, off-farm, employment). To assess the L4R activities' progress and effectiveness, Kimetrica, in collaboration with its partners, Save the Children and TANGO International, implemented a baseline study. The baseline study, conducted in 2018, included two quantitative components -- a household survey of 3,520 households and a community survey; and two qualitative components -- 32 focus group discussions (FGDs) and a range of in-depth interviews (IDIs)). The 3,520 households surveyed were scattered across 128 randomly-selected clusters (i.e. 16 treatment and 16 control, from each of the 4 regions). Questionnaires were digitized using the Census and Survey Processing System (CSPro) and data was collected electronically using Computer Assisted Personal Interviewing (CAPI), ensuring a daily flow of data and, in turn, timely feedback to the data collection team on suspicious and outlier values. Voice recordings were used for qualitative data collection. The baseline study results were used to monitor and assess the progress and effectiveness of L4R activities during implementation, and later to be used for comparison with endline results.

     

  • 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 USA Yemen

    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 -- has 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 aim of FEWS NET TSC is to assist 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 supports 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 2017

    Country Ethiopia

    Client

    Large-Scale Surveys PROJECTS

    USAID Food For Peace Ethiopia: Baseline Survey

    For USAID’s Office of Food for Peace (FFP), Kimetrica carried out a baseline survey of 8,460 households in three regions of Ethiopia: Oromia, Amhara, and Tigray. The survey, one of the largest ever implemented by USAID in Ethiopia, had a very short execution period, which required rapid mobilization of hundreds of field staff. Kimetrica’s research team managed all aspects of the field work, including training and managing over 300 enumerators who conducted household interviews and took anthropometric measurements of children aged 5 and under. A comprehensive listing (village census) of over 282 kebeles (wards) was undertaken, including GIS mapping of household locations. The listing data formed the basis for a three-stage cluster sample to ensure survey results represented the target populations. Data was collected using tablet computers and Census and Survey Processing System (CSPro) software. Survey results provided FFP with situational analysis prior to the implementation of food and non-food aid. Follow-up surveys of the same households provided results and impact information critical to the successful management of FFP’s multi-million dollar support efforts.