Speakers and presentation
Elaine Ferguson, London School of Hygiene & Tropical Medicine | Frances Knight, London School of Hygiene & Tropical Medicine
Use of Modelling Tools to Inform Decisions for Nutrition- Sensitive Agricultural Programmes
Session overview
The overall aim is to introduce participants to modelling tools that can be used to inform decisions for nutrition sensitive agriculture programmes. In this interactive session, we will specify the data input requirements, demonstrate methods of analyses and discuss how to interpret results at each stage of the analyses. We will use a case-based scenario approach, in which participants will examine results and decide what to analyse next to inform decisions on how to strengthen the nutrition sensitivity of an agricultural programme. We also will discuss potential applications of such tools and their value to ANH Academy members.
Learning objectives and outcomes
- To introduce participants to modelling tools that can inform decision-making for nutrition sensitive agricultural interventions
- To inform participants about the tool’s data requirements
- To demonstrate how the tools can be used to identify nutrient gaps in local food systems and the best food sources of nutrients to improve diet quality
- To increase participants’ understanding about how such tools can be used to identify and compare alternative agricultural interventions and inform decisions on how to improve nutrition outcomes in an agriculture programme
- To understand the potential applications of the modelling tools in the current work/interest area of workshop participants
Target audience
Agricultural economists, agronomists or nutritionists who are:
- Working in the areas of agricultural program design, research or advocacy
- Are used to looking at and managing data
- Are interested in learning about modelling tools that can inform decisions on how to make agricultural programs more nutrition sensitive
Format level and prerequisites
This will be an interactive, workshop-style learning lab. Participants will be expected to work in small groups to complete several tasks using modelling outputs and contribute to group discussions regarding the need for and potential uses of modelling tools to inform nutrition-sensitive programming