Using transdisciplinary socio-historical data to understand the evolution of food systems in Low and Middle-Income Countries: A Caribbean case study

Description

this paper argues that there is a need to develop cross-disciplinary networks and methods that make more systematic and innovative use of existing data sources that can significantly inform policy action to improve local healthy food production and consumption to reduce the rate of diet-related NCDs. Data describing food systems – from food pricing, consumption patterns, import rates, and land usage all the way to disease trends – are inherently relational – what people consume is often related to price for instance - and they are transdisciplinary – health data alongside economic data – and thus require researchers to cross disciplinary and sectoral boundaries to inform evidence-based policy. However, data sources on food systems in Low and middle incomes countries are often underused, overlooked, fragmented and unlinked.

Period	24 Jul 2023
Held at	Human Sciences Research Council, Pretoria, South Africa.
Degree of Recognition	International