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What do we know about the future of food systems?

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  • Wiebe, Keith D.
  • Gotor, Elisabetta

Abstract

Food systems have achieved remarkable progress in recent decades, but moving forward, they will face significant challenges in delivering the many outputs and services we expect and need. This book presents a collection of short chapters on the current state of knowledge about different aspects of the future of food systems, written by a diverse group of scientists from around the world with expertise in a wide range of related disciplines and regions. Each chapter examines a particular aspect of food systems, describes recent trends and challenges that highlight the importance of the topic, summarizes the latest available foresight research on that topic, and identifies key gaps in existing foresight research that merit further attention. In a world of complexity and uncertainty, the goal of this book — and the purpose of foresight analysis, more generally — is not to predict the future with precision, but rather to carefully consider and present what can be known about possible future pathways in order to inform choices today. The collection includes 15 chapters focused on major drivers and impacts of change in food systems, 11 chapters that provide regional and national perspectives on the future of food systems, 7 chapters on the future of major food commodities, and 3 chapters on food systems measurement and modeling tools. The contributors come from across CGIAR and many other partner research institutions around the world. This collection was begun as part of the CGIAR Research Initiative on Foresight during the 2022–2024 period and completed as part of the ongoing area of work on foresight and prioritization under the CGIAR Science Program on Policy Innovations.

Individual chapters are listed in the "Chapters" tab

Suggested Citation

  • Wiebe, Keith D. & Gotor, Elisabetta, 2025. "What do we know about the future of food systems?," IFPRI books, International Food Policy Research Institute (IFPRI), number 175019, October.
    • Handle: RePEc:fpr:ifprib:175019
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    File URL: https://hdl.handle.net/10568/175019
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    References listed on IDEAS

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    1. Amber Geurts & Ralph Gutknecht & Philine Warnke & Arjen Goetheer & Elna Schirrmeister & Babette Bakker & Svetlana Meissner, 2022. "New perspectives for data‐supported foresight: The hybrid AI‐expert approach," Futures & Foresight Science, John Wiley & Sons, vol. 4(1), March.
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