Without ever meaning to, I’ve managed to collect a fairly large number of theoretical books with “method” in their titles: After Method, Beyond Method, Against Method, For and Against Method, Truth and Method.
What is interesting about all these books is that they equate method with algorithmic techniques for capturing, analyzing and evaluating data. And they seem to either ignore or underplay the non-algorithmic principles of practice. They seem to be in battle with vestiges of a modernism that has lost much of its predominance in the last decade. They’re all beginning to feel as historically situated as they almost unanimously admit they are.
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Having just been through a project with too little method, I have to admit that I prefer having a little too much method to having not enough.
But I’m becoming sensitive to the fact that this is not a uni-dimensional continuum. Method is a complex set of practices of different kinds. “Too much” usually means imposition of unhelpful algorithms, where “too little” means having insufficient heuristic guidance (to use Roger Martin’s deeply flawed but nevertheless hugely useful “knowledge funnel” framework. And the flaw is assuming 1) the knowledge autonomously “evolves” from heuristic to algorithm, when in fact these are separate dimensions of practice, and 2) that algorithm is always, or even usually, more desirable than heuristic.)
