Avoidable Losses in the Food Supply-Chain

HSLU MscIDS DVN 2022.12.23

by Jerome Gano

 

        Lots of Variables

  • Region    (Africa   vs. Europe)

  • Product  (Wheat vs. Fruit)

  • Stage       (Farm     vs. Transport)

  • Context (Stable   vs. Drought)

  • Quality  (Survey  vs. Modelling)

Food Waste Is Complicated

  • Wants: Clarity

  • Likes:    Counter-Intuitive Concepts

  • Reads:  The Economist, The Financial Times

  • Needs: Global Context, Specific Examples

Target Audience: Logistics Experts

Design:

Data Choices

https://champions123.org/publication/why-reduce-food-loss-and-waste

Design:

Style Choices

"Graphical perception and graphical methods for analyzing scientific data." Clevland (1985)

The Economist

Iterations:

Selecting Time & Products

Iterations:

Negative Space Bar Chart

Iterations: Layout & Sequence

Iterations: Wheat Graphic

Final Product

Satisfying the

Design Goals

  • "Presentation & graphics looks good."

  • "I like that you approach the loss concept from a few angles."

  • "Nice visuals."

  • "If you're going to solve waste, you've got to see where it happens."

Target Audience:

Feedback

 

  • Data Quality is Essential

  • Work Backwards from the Format Constraints (e.g. magazine print)

  • Balance Visual and Written Narrative Flow

  • Get User Feedback Often

Conclusion & Lessons Learned

       Article

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References

Design: Style Choices

  • "The Economist: Middle East North Africa Edition" May 23 2019

  • Cleveland WS, McGill R. Graphical perception and graphical methods for analyzing scientific data. Science. 1985;229(4716):828-833. doi:10.1126/science.229.4716.828

  • John Rauser, How Humans See Data, https://www.youtube.com/watch?v=fSgEeI2Xpdc

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