Parallel Learning: Use of Modelling Tools to Inform Decisions for Nutrition Sensitive Agricultural Programmes
byANH Academy
Academy Week Learning Lab
 | Agriculture, Economics, Food Environments, Gender and Equity, Nutrition
Date and Time
From: 26 June 2018, 10:30
To: 26 June 2018, 12:00
BST British Summer Time GMT+1:00
Location
Country: Ghana
Open Full Event ANH2018 flyer

 

Speakers

Elaine Ferguson, LSHTM | Frances Knight, LSHTM 

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/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

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

Level and prerequisites

Basic; preferably with a background or interest in nutrition sensitive programming for agricultural interventions.

 

Speakers:
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