Globally, almost a billion people are undernourished while more than 2 billion are overweight. In Rwanda, like many lower middle-income countries (LMICs), nutrition transitions are underway, brought into focus by the impacts of COVID-19.
There is a need for programmes and policies designed and targeted to address malnutrition in dynamic and increasingly unstable global food systems that consider both traditional as well as emerging diet patterns.
However, government agencies and non-governmental organizations struggle to do so as they are unable to access consistent, dynamic, and spatially disaggregated food consumption and purchasing data needed to develop informed, responsive, and actionable policies and interventions.
Metrics of national or regional malnourishment in LMICs mostly consist of annual estimates based upon small samples, that allow for limited spatial and temporal disaggregation and may not allow decision-makers to adequately understand, let alone address, malnutrition.
Citizen- Individual/ Household Dietary Diversity Dynamics – or Citizen-H2D3 – is a novel and user-friendly tool to shift diet data collection pathways away from static researcher-led methods, towards dynamic citizen-led systems that can be integrated with other data sources in agriculture and health. Citizen-H2D3 will provide an unprecedented capacity for individuals, next users, and end users to track a series of metrics in [near] real-time.
Citizen-H2D3 will use its multidisciplinary team of experts to develop a system that will leverage on principles of citizen science and easy-to-deploy ICT tools to provide [near] real-time intelligence on individual daily dietary diversity and other nutrition and purchasing metrics.
Citizen-H2D3 system will be comprised of (1) a front-end tool that engages citizens as providers and consumers of information on diet diversity, and (2) a back-end platform that empowers researchers, institutions, and ultimately individuals to generate evidence-driven and robust insights about the dynamics of diet diversity that can guide regional understanding of trends and empower decision-makers to develop viable and contextually-relevant policies.
The Inspire Challenge is an initiative to challenge partners, universities, and others to use CGIAR data to create innovative pilot projects that will scale. We look for novel approaches that democratize data-driven insights to inform local, national, regional, and global policies and applications in agriculture and food security in real time; helping people–especially smallholder farmers and producers–to lead happier and healthier lives.