Our Projects

Our Projects
  • Year 2020-2027

    Country Burundi DRC Ethiopia Kenya Rwanda Somalia South Sudan Sudan Tanzania Uganda

    Client

    Research and Evaluation PROJECTS

    USAID/Kenya and East Africa (KEA) - Evaluations, Assessments and Analyses (EAA) Indefinite Delivery/Indefinite Quantity (IDIQ) Contract

    USAID’s Kenya and East Africa (KEA) Mission is leading critical efforts to promote learning through evaluation, performance monitoring, knowledge management, and research throughout the region. USAID/KEA’s Evaluations, Assessments and Analyses (EAA) IDIQ enables the procurement of regular evaluations, assessments, and analyses for learning to improve effectiveness and accountability of activities in the region. As a holder of the seven-year IDIQ, Kimetrica is positioned to design and implement both quantitative and qualitative research, lead on knowledge management, and develop and deliver evaluation and assessment training to as many as 11 USAID Missions in the region, as well as to USAID implementing partners, and local institutions. Kimetrica’s EAA IDIQ partners include Social Impact, Forcier Consulting, and TANGO International.

  • 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

    Information Management PROJECTS

    FEWS NET 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. 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

  • 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

    Research and Evaluation PROJECTS

    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)

    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.

  • 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 gathered primary data from panel surveys of households, markets and health centers. Using tablets and satellite telephones, Kimetrica provided 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 allowed 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

    Modeling and Simulation PROJECTS

    Research and Evaluation PROJECTS

    Information Management PROJECTS

    FEWS NET Technology 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.

    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.
     

  • Year 2016-2017

    Country Somalia

    Client

    Research and Evaluation PROJECTS

    Evaluation of the Social Mobilisation Network (SM Net)

    Polio is a highly infectious disease caused by a virus that invades the nervous system. Polio outbreaks between 2000 and 2015 affected hundreds in Somalia, with some cases reported in Kenya and Ethiopia. The Social Mobilisation Network (SM Net) was established in 2013 by UNICEF to raise awareness of polio and increase polio vaccination coverage in difficult to reach locations in Somalia. Kimetrica, in partnership with Forcier Consulting, was contracted to conduct an evaluation of SM Net activities, including impacts of polio immunization activities, and local perceptions of trust and community level support. The evaluation also explored SM Net’s ability to deliver on other child survival and development interventions. Using a mixed-methods approach, the team collected primary data through individual interviews and focus group discussions to examine key issues of relevance like efficiency, sustainability, effectiveness, and impact. The team also undertook an extensive analysis of secondary data on vaccination uptake over the duration of the program.

  • Year 2012-2013

    Country Somalia

    Client

    Large-Scale Surveys PROJECTS

    Somaliland Household and Small & Medium Enterprise Survey

    The World Bank contracted Kimetrica to conduct the Somaliland Enterprise Survey, which included both household interviews and interviews of registered businesses in Somaliland. Over 1,500 households and 500 enterprises were sampled among 12 clusters. Kimetrica developed a registry of enterprises, corroborated the registry through phone calls and on-site visits, and completed a final registration using mobile teams. The work included questionnaire piloting, a public awareness campaign, survey training, and field enumeration. The study found that most firms in Somaliland are sole proprietorship firms. Foreign direct investment was low; however, the majority of business owners interviewed relied, to some degree, on remittances from family members living outside of Somaliland. Female business ownership was also very limited in part due to limited access to financing and micro-loans. The study found that access to finance was the single biggest obstacle to business expansion.

  • Year 2010

    Country Somalia

    Client

    Information Management PROJECTS

    Development of a Drought and Early Warning System for NERAD Somaliland

    The Somaliland Government’s National Environmental Research and Disaster Management Authority (NERAD), was formed to mitigate the impact of droughts and other natural hazards on vulnerable communities in Somaliland. With support from OXFAM GB and the European Commission, NERAD focused its efforts on disaster prevention, mitigation, response and recovery. Kimetrica’s web-based early warning and contingency planning software, Crisis Toolkit™ was fundamental to NERAD’s analysis of hazards and their impacts. The system contributed to the disaster preparedness capacity of Somalilanders by providing information and early warning to the government, and its humanitarian partners and donors so that steps could be taken to reduce the impact of food insecurity on people's assets, the environment and human capital. The early warning system provided necessary information to trigger response analysis, and was part of an expanded food security information and analysis system that contributed to short-term emergency responses as well as long-term development planning.

  • Year 2010

    Country Somalia

    Client

    Research and Evaluation PROJECTS

    Monitoring Somalia Emergency and Development Assistance

    In 2009, Kimetrica submitted an unsolicited proposal to United States Agency for International Development (USAID) Somalia, recommending an approach for independent monitoring of its activities. The proposal was based on the use of Kimetrica’s web-based survey software, ki-metricsTM, and Kimetrica’s network of Somali monitors. In 2010, USAID funded a six-month pilot project, followed by a six-month extension, to provide monitoring and verification inspections, as well as recommendations for what USAID could do to improve the efficiency and effectiveness of its aid delivery in Somalia. The monitoring was based on standard questionnaires and was supported by photographic evidence of USAID-funded activities. Further, Kimetrica’s field staff was asked to investigate and verify allegations of fraud and/or waste of USAID assistance. Monitoring focused primarily on support related to water points, health facilities, peace committees, schools and public buildings. 

  • Year 2009-2010

    Country Somalia

    Client

    Research and Evaluation PROJECTS

    Monitoring Food Aid Targeting in Somalia

    The United Nations World Food Programme (WFP) manages emergency food aid deliveries across Somalia. Constrained by insecurity and the capricious political environment, WFP faced challenging food-aid management issues that prevented the agency from in-depth monitoring and follow-up of the implementation of its food aid activities in Somalia. Kimetrica was contracted to provide third party monitoring of WFP activities. This included distribution monitoring, site visits to areas inaccessible to United Nations staff, post-distribution monitoring and reviews of commodity supply chain management. Kimetrica’s disaster management team developed monitoring forms and trained a team of local monitors in data collection methods, including direct observation and household and recipient interviews. Using Kimetrica’s web-based survey management tool, ki-metricsTM, Kimetrica’s field teams provided near real-time data and reporting to WFP’s Somalia office in Nairobi, Kenya. This allowed food aid managers to better assess program performance and impact on beneficiaries.