emergeexplaining
Emergeexplaining is a term used to describe a practice of explanation that centers emergence as a key explanatory mechanism. It seeks to account for macro-level phenomena by highlighting how interactions among simpler components give rise to novel properties or behaviors that cannot be predicted by examining components in isolation.
Although not widely standardized, the term has appeared in discussions of science education, complex systems, and
Core characteristics include a focus on nonlinear dynamics, feedback, and context-dependence; a preference for layered explanations
Common methods include modular explanations that separate micro, meso, and macro levels; simulations and animations to
Applications of emergeexplaining span education, science communication, and explainable artificial intelligence, where emergent patterns in data
See also: emergence; complex systems; explanation; education; explainable AI.