Science 2.0 study

Updates on progress and discussions on results of Science 2.0: implications for European policies on research and innovation study

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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?

Science 2.0 Cases and Applications

According to an initial search, most of the  Science 2.0 applications are in the realm of natural science, as you can see from our case repository in Diigo

Why is it that? Why the Science 2.0 paradigm has not yet been applied to Social Sciences at the same rate?

Give us your view!

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