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Area of Science:

  • Nutrition Science
  • Complex Systems
  • Network Science
  • Big Data
  • Artificial Intelligence

Background:

  • Sustainable and healthy nutrition research faces complex challenges.
  • Integrating food and behavioral dietary guidelines requires new methodologies.
  • Current disciplinary borders limit progress in nutrition science.

Purpose of the Study:

  • Advocate for adopting interdisciplinary, complex-systems-based research.
  • Promote a methodological shift towards digital era tools and systems thinking.
  • Address challenges in sustainable and healthy nutrition research.

Main Methods:

  • Applying complex systems and network science methodologies.
  • Utilizing big data and artificial intelligence advancements.
  • Focusing on consumption aspects of nutrition within a systems approach.

Main Results:

  • Identified the need for integrating diverse data and methodologies.
  • Highlighted the potential of systems thinking for nutrition research.
  • Proposed research directions for cross-scale correlation and causation.

Conclusions:

  • Interdisciplinary, complex-systems research is crucial for sustainable nutrition.
  • Embracing digital tools and systems thinking will advance nutrition science.
  • Future research should focus on multi-scale, interdependent systems.