Is the traditional approach (or model) of science, identifying causation, constructing a hypothesis (or mental model) and then testing it on the way out?
In The End of Theory: The Data Deluge Makes the Scientific Method Obsolete Wired's Chris Anderson (of Long Tail fame) says:
"There is now a better way. Petabytes allow us to say:
"Correlation is enough." We can stop looking for models. We can analyze
the data without hypotheses about what it might show. We can throw the
numbers into the biggest computing clusters the world has ever seen and
let statistical algorithms find patterns where science cannot."
Google's search is an example of the value of vast amounts of data but
is it enough to do science without models? Google's search works, it returns pages on the topic you search for and as long as one is good enough for you Google has done it's job. But is it returning the best pages out there? How would you know? How would it know if it's finding the best data to do science with? And is it even science any more if a machine is making correlations?
via the Guardian Technology Blog