Scientific Modeling Task

Context:
- output: a Scientific Model.
Example(s):
- Modeling Gene Regulatory Networks, for gene regulatory networks.
See: Mathematical Modeling, Statistical Modeling, Conceptual Model, Mathematical Model, Simulation.

References

(Lobo & Levin, 2015) ⇒ Daniel Lobo, and Michael Levin. (2015). “Inferring Regulatory Networks from Experimental Morphological Phenotypes: A Computational Method Reverse-Engineers Planarian Regeneration.” In: PLOS Computational Biology Journal, June 4, 2015. 10.1371/journal.pcbi.1004295 doi: 10.1371/journal.pcbi.1004295

http://en.wikipedia.org/wiki/Scientific_modelling
- Scientific modelling is the process of generating abstract, conceptual, graphical and/or mathematical models. Science offers a growing collection of methods, techniques and theory about all kinds of specialized scientific modelling. A scientific model can provide a way to read elements easily which have been broken down to a simpler form.
  Modelling is an essential and inseparable part of all scientific activity, and many scientific disciplines have their own ideas about specific types of modelling. There is an increasing attention for scientific modelling^[1] in the fields such as of philosophy of science, systems theory, and knowledge visualization.

↑ Frigg and Hartmann (2009) state: "Philosophers are acknowledging the importance of models with increasing attention and are probing the assorted roles that models play in scientific practice". Source: Frigg, Roman and Hartmann, Stephan, "Models in Science", The Stanford Encyclopedia of Philosophy (Summer 2009 Edition), Edward N. Zalta (ed.), (source)