Big Data and Scientific Method
The dramatic increase in data availability affected the very foundations of the scientific method. So far scientific research was based on the hypotesis-driven deductive method: the scientist, after having observed a phenomenon, makes some assumptions, builds a theory or a model to explain it, and then tests the theoretical framework against the data.
This might no longer be the case, as science is more and more data-driven, due to sophisticated algorithms capable of finding patterns in huge databases. In fact big data availability opened the door to data-driven inductive reasoning based on generalizing hypothesis from examples.
What are your views?