modellnotater

Modellnotater (literally "model notes" in Scandinavian languages) are concise documents that describe the structure, assumptions, inputs, and intended use of a mathematical, statistical, computational, or conceptual model. They serve as an accessible record of design choices and implementation details for colleagues, auditors, or stakeholders who need to understand or evaluate the model without inspecting source code alone.

Typical content of modellnotater includes a summary of purpose and scope, a description of model structure and key equations or algorithms, data sources and preprocessing steps, parameter values and calibration methods, validation results and known limitations, and versioning or change history. They may also note computational requirements, dependencies, and contacts for further information. The level of technical detail can range from high-level conceptual explanations to step-by-step reproducibility instructions, depending on the intended audience.

Modellnotater are used across disciplines—economics, climate science, engineering, machine learning, and policy analysis—to promote transparency, reproducibility, and effective communication. In regulated or collaborative environments, they support review, risk assessment, and governance by documenting assumptions that could affect decisions based on model outputs.

Best practices for modellnotater emphasize clarity, traceability, and maintenance: state assumptions explicitly, link to data and code repositories, record validation and limitations candidly, and update notes when models change. When combined with formal documentation tools such as model cards or technical reports, modellnotater contribute to responsible model development and use.