modelingthat
Modelingthat is a term used in some discussions of computational modeling to describe an approach that prioritizes the explicit integration of context, structure, and transferability in model design. It is not a widely standardized term, but several researchers use it to contrast purely statistical models with hybrids that incorporate mechanistic insight and cross-domain constraints.
Concept and scope: Modelingthat aims to capture not only empirical fit but also the causal mechanisms and
Methods and practice: It often combines mechanistic models with machine learning, and uses cross-domain validation to
Applications and examples: Used in environmental science, epidemiology, energy systems, urban planning, and economics to support
Evaluation and critique: Critics caution that the term can be vague and that practical benefits depend on
See also: modeling, hybrid modeling, mechanistic modeling, data-driven modeling, transfer learning, uncertainty quantification.