Our Projects
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Year 2021-2022
Country Kenya Tanzania Uganda
Client
Modeling and Simulation PROJECTS
The Feed the Future East Africa Market Systems (EAMS) Task Order
Information Management PROJECTS
USAID's Regional Integration and Stronger Economics (RISE) indefinite-delivery/indefinite-quantity (IDIQ) mechanism is designed to increase cross-border trade in select product value chains and enhance regional economic integration to overcome barriers to trade and strengthen the region’s ability to absorb, adapt, recover and transform in times of shocks and stress. Under this IDIQ, Palladium (Kimetrica’s prime) is carrying out the East Africa Market Systems (EAMS) Task Order (TO) to achieve an increase in intra-regional trade, create new cross-border partnerships or market linkages, add investment for regional trade finance and commercialize new agricultural technologies. As a subcontractor to Palladium on the EAMS TO, Kimetrica is developing data-driven maps and visualizations to support trade flow analysis in the region, as well as developing resilience monitoring tools that build on existing technologies using state-of-the-art data mining and machine-learning techniques. To further define surveillance needs, Kimetrica will engage with stakeholders and collaborate with institutional partners in the region.
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Year 2020-2027
Country Burundi DRC Ethiopia Kenya Rwanda Somalia South Sudan Sudan Tanzania Uganda
Client
USAID/Kenya and East Africa (KEA) - Evaluations, Assessments and Analyses (EAA) Indefinite Delivery/Indefinite Quantity (IDIQ) Contract
Research and Evaluation PROJECTS
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.
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Year 2020-2025
Country Global
Client
USAID Office of Transition Initiatives (OTI): Support Which Implements Fast Transition 5 (SWIFT 5) Support IDIQ USAID
Research and Evaluation PROJECTS
The Office of Transition Initiatives (OTI) at USAID carries out rapid interventions relevant to the political and stabilization needs of communities and governments, in response to major political or conflict crises and opportunities as they emerge across the world. The Support Which Implements Fast Transition (SWIFT) 5 - Support Indefinite Delivery/Indefinite Quantity (IDIQ) Contract is a five-year mechanism with a ceiling of $2.5 billion managed by USAID/OTI, which provides flexible and targeted support to local organisations in some of the world’s most challenging environments as they transition out of conflict, political crises or natural disasters. Kimetrica’s role for this IDIQ is to recruit and deploy long-term technical assistance personnel to advance USAID/OTI’s program operations working to effect positive change around the world.
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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 Ethiopia
Client
USAID/Ethiopia's Livelihoods for Resilience (L4R): Recurrent Monitoring Study (RMS)
Large-Scale Surveys PROJECTS
USAID's Livelihoods for Resilience (L4R) activity 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 activity’s progress and effectiveness, Kimetrica, in collaboration with its partners, Save the Children and TANGO International, is implementing a quarterly, Recurrent Monitoring Study (RMS) across the same regions as the 2018 baseline study for eight rounds in total (four rounds per year). The RMS collects and analyzes high-frequency panel data regarding household shock exposure, responses, wellbeing outcomes, and changes in household resilience capacity. Mixed-method data is collected from a subset of baseline respondents (800 households) and alternates between 32 key informant interviews and 16 focus group discussions to prevent respondent fatigue. The RMS is being used to 1) measure real-time household responses to shocks and/or stressors that occur during the life of the activity and 2) to adapt the activity throughout implementation. Beginning in April 2020, in response to COVID-19, Kimetrica transitioned from in-person data collection to mobile-based data collection to minimize face-to-face contact with respondents and comply with the Government of Ethiopia’s recommendations, while still ensuring response rates of approximately 98 percent.
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Year 2019-2024
Country Global
Client
Food Security Third Party Monitoring (FSTPM)
Research and Evaluation PROJECTS
Monitoring vulnerability, food insecurity and the impact of humanitarian response in some of the world’s most crisis prone locations, the Food Security Third Party Monitoring (FSTPM) project provides critical, near real-time analysis to support targeting of life-saving support. Using a strategic combination of local monitors and international staff, Kimetrica is adeptly navigating adverse security, travel, and climate conditions to deliver verifiable data on the existence, quality, and progress of the United States Agency for International Development’s (USAID) Office of Food for Peace's (FFP) projects in some of the world’s most challenging environments. Armed with current, relevant data, FSTPM is allowing USAID and its partners to make highly-informed, evidence-based decisions for program implementation and strategy, which improves the impact of USAID’s critical humanitarian assistance.
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Year 2019-2021
Country Kenya
Client
USAID’s Partnership for Resilience and Economic Growth (PREG), Northern Kenya: Impact Evaluation Recurrent Monitoring System (RMS)
Research and Evaluation PROJECTS
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). PREG 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. PREG’s goal is to assess how the range of USAID-supported interventions contributes to both community and household resilience capacities. In 2019, to promote learning and adapting within the activity, Kimetrica in collaboration with TANGO International, began conducting quarterly, recurring monitoring system (RMS) surveys of 800 households (a subset of the 2,700 households Kimetrica surveyed during the activity’s baseline evaluation in 2018). Each quarter, the RMS alternates between conducting 30 key informant interviews and eight focus group discussions to avoid respondent fatigue. From September 2019 to June 2020, Kimetrica successfully conducted four rounds of RMS. Due to COVID-19, data collection was put on hold in mid-2020 but another round of RMS is anticipated to begin in mid-2021. This near real-time data allows USAID to understand how households’ resilience capacity affects their recovery from shocks.
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Year 2018
Country Kenya
Client
Partnership for Resilience and Economic Growth (PREG): Baseline/Endline Data Collection
Large-Scale Surveys PROJECTS
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 were collected in the same areas through 32 focus group discussions and 49 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.
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Year 2018
Country Ethiopia
Client
Livelihoods for Resilience (L4R) Learning Activity: Baseline Data Collection
Large-Scale Surveys PROJECTS
USAID's Livelihoods for Resilience (L4R) Learning Activity 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.
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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.