Modeling and Simulation

KIMETRICA’S DATA LAB IS SPECIALIZED IN DRAWING CLEAR MESSAGES FOR DECISION-MAKERS THROUGH MODELING OF LARGE AND COMPLEX DATASETS.

A team of data scientists, GIS experts and subject matter specialists develop tools to inform policy decisions. Our work ranges from modeling social impacts of climate risk to sophisticated, deep learning algorithms for malnutrition detection.

We strive to make our analyses accessible to wide audiences through data visualizations and interactive websites. We apply the latest academic research and statistical methods to support decision-making in organizations that seek an impact, not just bottom line profitability.

OUR PRIMARY OFFERINGS ARE:

  • Simulations and interactive models for policy-makers
  • Tools for image and big data interpretation
  • Models for understanding complex economic and environmental processes
  • Models of finding optimal strategic and tactical solutions

OUR TEAM CAPABILITIES ARE:

  • Machine learning
  • Big data and data mining
  • Socioeconomic data management
  • Remote sensing and advanced geospatial analysis and image interpretation
  • Microsimulation and development of interactive models
  • Optimization modeling with a focus on dynamic resource allocation
  • Data synthesis and visualization
Featured MERON

In response to a need for accurate, cost-effective and rapid diagnosis of the nutritional status of children under five, in different field settings, Data Lab is testing a Method for Extremely Rapid Observation of Nutritional Status (MERON). It uses facial recognition technology and machine learning to rapidly capture and analyze a photograph of the child’s face to generate a weight for height Z score and malnutrition category. MERON was presented at the Artificial Intelligence for Good Global Summit held in Geneva in May 2018 and has featured in the Smitsonian, New Scientist and Detusch Wella.

Learn More

EXAMPLES OF OUR RECENT WORK

  • World Modelers
    World Modelers
    Client: Darpa
    Country: South Sudan

    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.

  • Methods for Extremely Rapid Observation of Nutritional Status (MERON)
    Methods for Extremely Rapid Observation of Nutritional Status (MERON)
    Client: UNICEF
    Country: Kenya

    In response to a need for accurate, cost-effective and rapid diagnosis of the nutritional status of children under-5 years in field settings Kimetrica  is developing and testing MERON.

  • Measuring Resilience for Famine Early Warning System Network (FEWS NET)
    Measuring Resilience for Famine Early Warning System Network (FEWS NET)
    Client: USAID

    Kimetrica developed empirical approaches to measure household resilience in response to a climate shock, using remote sensing and widely-available socio-economic datasets.

  • Livelihood Zoning Methods for Famine Early Warning System Network (FEWS NET)
    Livelihood Zoning Methods for Famine Early Warning System Network (FEWS NET)
    Client: USAID

    Kimetrica  developed low-cost methods for mapping key characteristics of the local economy (such as  primary income sources, crop production patterns, and household consumption habits) using widely available secondary data.