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Abstract
Evolutionary mechanisms enabled humans to profoundly transform Earth systems. Because the resulting Anthropocene systems are highly interdependent and dynamically evolving, often with accelerating rates of cultural and technological evolution, the ensuing family of societal challenges must be framed and addressed in a holistic fashion. An agile, evolutionary, system-of-systems, convergence paradigm, which is based on a partially quantifiable, scientifically falsifiable, formal theoretical framework, can be used to systematically identify, decompose, characterize, and then converge, a nested, evolutionary ensemble of geophysical, biophysical, sociocultural and sociotechnical systems. The paradigm includes individual organisms (spanning plants, fungi and animals) engaging in niche construction in a global meta-ecosystem that integrates the deep evolutionary history of all Anthropocene systems. To coherently span the vast range of scales, the paradigm is divided into a somatic realm (externally oriented with respect to individual organisms) that can be applied at global, regional, urban and local scales, as well as a visceral realm (internally oriented with respect to individual organisms) that includes organs, cells, organelles, genes and proteins. The visceral realm connects with evolutionary systems biology, biomedical engineering and systems medicine. The paradigm includes a causally coherent conceptual model based on a common language and reconciled ontology, with a hierarchical, extensible and scalable computational framework, an associated decision-support system and an educational pedagogy. The paradigm will require a major transformation in our national and global approach to science and engineering, enabling the creation of a meta-discipline that spans all the disciplines associated with the family of societal challenges of the Anthropocene.
DOI
https://doi.org/10.32942/X22S7T
Subjects
Education, Engineering, Life Sciences, Medicine and Health Sciences, Physical Sciences and Mathematics, Social and Behavioral Sciences
Keywords
modular evolution, meta-ecosystem, cross-scale, conceptual model, systems modeling language, systems modeling languagee, reconciled ontology, hetero-functional graph theory, agile, Hierarchical, extensible, scalable, computational framework, decision-support system, educational pedagogy
Dates
Published: 2024-12-06 16:21
License
CC BY Attribution 4.0 International
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Language:
English
Conflict of interest statement:
The authors declare no competing interests.
Data and Code Availability Statement:
There are no new data sets associated with this manuscript.
There are no comments or no comments have been made public for this article.