Models in Science

Most of the time, when we use the word model in this blog, we’re referring to a software (or system) model but by no means these are the only kinds of models out there (and for sure nor the most common ones). Thanks to Antonio Vallecillo, I discovered this great models in science web page from the Stanford Enciclopedia of Philosophy

Quoting the beginning of the page:

Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of predator-prey interaction, the double helix model of DNA, agent-based and evolutionary models in the social sciences, and general equilibrium models of markets in their respective domains are cases in point. Scientists spend a great deal of time building, testing, comparing and revising models, and much journal space is dedicated to introducing, applying and interpreting these valuable tools. In short, models are one of the principal instruments of modern science.

Definitely worth taking a look!