The Livestock Data 4 Decisions (LD4D) network aims to improve the quality, quantity, accessibility and use of data by decision makers. When pondering how to apply this to gender, my initial questions are:

  • Who are the decisions makers in gender and livestock?
  • What decisions are they making?
  • What data do they need to make these decisions better?

On initial reflection, I think there are going to be many answers to all of these questions - so then the next question is, how do we prioritise? If we were to pick one particular problem to solve, as a working group, what could we do?

Let me know your thoughts!


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