Taxonomy of research

1. Natural Language Description: This is where you articulate your research idea in plain language. The goal here is to ensure that the concept can be communicated clearly to others. This step checks for the basic coherence and communicability of the idea.
2. Mathematical Formulation: Here, you translate the natural language description into mathematical terms. This step is crucial for precision and to allow for quantitative analysis or predictions. It tests whether the idea can be expressed in a formal, logical, and quantifiable manner.
3. Computational Simulation: This involves creating a model or simulation based on the mathematical description. It’s about implementing the math in a computational environment to see if the theoretical predictions hold under simulated conditions. This step verifies if the mathematical model behaves as expected when parameters are varied or when applied to different scenarios.
4. Control and Application: This final stage involves taking the simulated model and applying it in a controlled environment or real-world scenario to see if it can solve practical problems or control certain outcomes. Here, you’re not just describing or simulating but actually implementing the idea to achieve a specific result or solve a problem.

Citation

BibTeX citation:

@misc{smékal2024,
  author = {Jakub Smékal},
  title = {Taxonomy of Research},
  date = {2024-08-24},
  url = {https://jakubsmekal.com/writings/082424_taxonomy_research/taxonomy_of_research.html},
  langid = {en}
}

For attribution, please cite this work as:

Jakub Smékal. 2024. “Taxonomy of Research.” https://jakubsmekal.com/writings/082424_taxonomy_research/taxonomy_of_research.html.