Measurement and Models

Just now In the Edge:   Popper Versus Bacon
A Conversation With Peter Coveney  intro by John Brockman

People have to go around measuring things. There's no escape from that for most of that type of work. There's a deep relationship between the two. No one's going to come up with a model that works without going and comparing with experiment. But it is the intelligent use of experimental measurements that we're after there because that goes to this concept of Bayesian methods. I will perform the right number of experiments to make measurements of, say, the time series evolution of a given set of proteins. From those data, when things are varying in time, I can map that on to my deterministic Popperian model and infer what's the most likely value of all the parameters that would be Popperian ones that would fit into the model. It's an intelligent interaction between them that's necessary in many complicated situations.  ....  "

There’s a massive clash of philosophies at the heart of modern science.  One philosophy, called  Baconianism after Sir Francis Bacon, neglects theoretical underpinning and says just make observations, collect data, and interrogate them. This approach is widespread in modern biology and medicine, where it’s often called informatics.  But there’s a quite different philosophy, traditionally used in physics, formulated by another British Knight, Sir Karl Popper. In this approach, we make predictions from models and we test them, then iterate our theories.   .... "