scientific modeling
Let an agent explain scientific and technical modelling and its kinds, describe how models are built, validated and used, support choosing modelling approaches, and discuss limits and misuse of models.
Research draft, second pass
A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.
written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify
Researched by: Claude
Purpose and description
Let an agent explain scientific and technical modelling and its kinds, describe how models are built, validated and used, support choosing modelling approaches, and discuss limits and misuse of models.
The activity of constructing abstract, conceptual, mathematical, computational or physical representations of systems or phenomena to understand, explain, predict or design them, including scientific models in physics, biology and climate science, data and dimensional modelling in information systems, software modelling with notations such as UML, and physical model-making; models simplify reality according to purpose, are validated against observations, and are central to modern science and engineering.
What it is for: Constructing representations of systems.
It can be explain kinds of modelling; describe building and validation; support choosing approaches; discuss limits.
Distinguishing features
Purpose-driven simplification
Validation
Multiple kinds
Predictive use
What it looks like
Not physical as an activity; models range from equations to diagrams and scale models.
How it is recognised
Representation of a system for understanding or prediction
Conceptual, mathematical, computational or physical
Simulation runs a model; a theory is a broader explanatory framework
Related models
is a kind of - category
is a kind of - category
is related to - model calibration
is related to - climate models
In practice
Families and kinds
conceptual and mathematical models
computational and simulation models
data and dimensional models
software and system models such as UML
physical and scale models
Standards and regulation
Modelling notations and standards such as UML
Verification and validation guidelines
Reporting standards for model-based research
Failure modes and hazards
Overtrusting models beyond validation
Confusing model with reality
Poor documentation of assumptions
Also called
+9
Where this came from
wikidata · CC0 1.0
Drafted structure
Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.
Understand What modelling is.
Methodology.
Concept
Concept and kinds.
Concept
Concept.
- What is a model, what kinds of models exist, and how does purpose shape simplification? definition
- Which kind of modelling is meant? boundary
Philosophy
Models and theories.
Philosophy
Philosophy.
- How do philosophers of science describe the relation between models, theories and reality? provenance
- Which entry fits philosophy of science? action
Build Building and validating.
Practice.
Build
Building a model.
Build
Building.
- How can a model of this system be built, from conceptual framing to formalisation? action
- Which entry fits a specific modelling method? action
Validate
Validation and calibration.
Validate
Validation.
- How are models verified, validated, calibrated and their uncertainty assessed? provenance
- Which entry fits calibration? action
Apply Applications and limits.
Context.
Fields
Modelling by field.
Fields
Fields.
- How is modelling used in physics, biology, climate science, engineering and information systems? provenance
- Which entry fits a specific field? action
Limits
Limits and misuse.
Limits
Limits.
- What are the limits of models, and how have models been misused in policy or engineering, with cases attributed? provenance
- Is the model being used beyond its validated scope? boundary
Learn History and teaching.
Education.
History
History.
History
History.
- How did modelling develop from early physical models to computational science? provenance
- Which references are standard? provenance
Teach
Teaching.
Teach
Teaching.
- How can modelling be taught across disciplines? action
- Which misconceptions arise? provenance
What the second pass must settle
- Should data modelling be a separate entry?
- How should validation guidelines be linked?
- How should modelling tools be linked?