Four-fold division of Science

In the pursuit of discussions about the philosophy of science, I've found that I've come to rely upon a four-fold division of the sciences, humanities, and academic disciplines. This is mostly for science (and non-scientific academic disciplines) but might apply towards technology as well. The boundaries between these are fuzzy, and certain sciences or disciplines cross between the boundaries, but it makes for a starting place...

The life sciences:
Biology
Ecology
Anatomy + Physiology (and medicine)
Microbiology
Biochemistry [which blends into the physical sciences]
Botany
Zoology
etc.

The physical sciences:
Physics
Chemistry (including Organic) [which blends into the life sciences]
Geology
Metallurgy
Meteorology
Astronomy
and so forth

The cognitive disciplines (some of these are not science - they don't rely on experimentation or empirical evidence, per se.):
Psychology
Philosophy
Logic
Cognitve science
Linguistics
Computer programming (yes, I consider this a cognitive discipline)
Pure mathematics (while math informs nearly all of the other sciences, *pure* math is, IMO, a cognitive discipline.)
Game/decision theory

The social disciplines:
Sociology
Cultural Anthropology
History (including Asimov-style predictive history)
Political Science
Literary theory and folklore studies
Cultural critical theory
Memetics
Macro-economics
Semiotics [which blends into the cognitive disciplines]

The Third Scientific Revolution

The first scientific revolution, forged and championed by such luminaries as Francis Bacon, Galileo Galilei and others. The first scientific revolution emphasised the gathering of and reliance upon empirical evidence. Observations would be quantified, measured, isolated, and repeated. The first scientific revolution bequeathed to the world the first scientific method: observe a phenomenon, identify independent and dependent variables, create an experiment, alter the independent variable(s) and observe any changes to the dependent variables, draw causal conclusions. Repeat and expand as necessary to form and confirm a theory.

The second scientific revolution, begun in the social and life sciences: statistical analysis. When a phenomenon becomes impossible to recreate in a controlled, laboratory environment, the investigator may instead choose to observe the phenomenon repeatedly in an outside environment. Data are collected, tabulated, and analysed as a statistical universe. Correlations are noted and causal conclusions are drawn. Studies are repeated and expanded to form and confirm theories.

The third scientific revolution, made possible by microcomputing: scientific modelling. A set of conditions regarding a phenomena are observed. Those data are used to formulate a set of initial conditions in an abstract, computational model. The model is allowed to operate, and consequent conditions of the model are derived. Those consequent conditions are checked against observed consequent conditions of the phenomenon being modeled. If the modeled consequential conditions closely match the observed consequential conditions, then the operations of the model serve as the basis for drawing causal conclusions and the formulation of theories.