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Quantifying ecological intelligence: building metrics for the green brain capital model-a systematic review
Omnia Mahmoud Abdelraheem1, Burcin Ikiz2, Sungsoo Chun1
1Institute of Global Health and Human Ecology, The American University in Cairo, Cairo, Egypt.
BMJ Mental Health
|March 17, 2025
Summary
This review defines ecological intelligence (EI) and its assessment tools for the Green Brain Capital Model. Current EI measures are individual-focused, highlighting a need for global indicators for national EI development and policy.
Area of Science:
- Environmental Psychology
- Neuroscience
- Sustainability Science
Background:
- The Green Brain Capital Model links brain health with environmental factors.
- Ecological intelligence (EI) is a crucial component of this model.
- Conceptualizing Green Brain Capital requires clear EI definitions and metrics.
Purpose of the Study:
- To systematically review literature defining EI.
- To identify features and quantitative assessment tools for EI.
- To inform the development of comprehensive Green Brain Capital metrics.
Main Methods:
- A systematic literature search was conducted across Scopus and ScienceDirect.
- Eleven articles defining EI and its assessment tools were identified.
- Open-access databases were searched for EI assessment indicators.
Main Results:
- EI encompasses cognitive, affective, and behavioral domains.
- Seven quantitative EI assessment tools were identified, with two showing strong validity (Okur-Berberoglu, Akkuzu).
- No country-level EI indicators were found in open-access databases.
Conclusions:
- Existing EI assessment tools are individual-level and context-specific.
- There is a significant gap in global indicators for national EI development.
- Developing country-level EI indicators is vital for policy and public awareness.
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