Emergence of a Fourth Research Paradigm #nhv #data

I went to a very interesting Yale lecture yesterday by Tony Hey from Microsoft Research  talking about the revolution of research needing to deal with the overwhelming amount of data.

The 4 Research Paradigms Throughout History

1. Thousand years ago -  Experimental Science - Description of natural phenomena

2. Last few hundred years -

Theoretical Science - Newton's Laws, Maxwell's Equations

3. Last few decades - Computational Science - Simulation of complex phenomena

4. Today - Data-Intensive Science - Scientists overwhelmed with data sets require a new generation of scientific computing tools to manage, visualize and analyze the data flood.

The key is moving data to knowledge

DATA --> INFORMATION --> KNOWLEDGE

A few -interesting applications of this are:

NodeXL http://nodexl.codeplex.com/

Zoom Technology (Example Roman History) 

Other resources:

List of Tools: http://research.microsoft.com/en-us/collaboration/tools/

Interesting article in NY Times: http://www.nytimes.com/2009/12/15/science/15books.html?_r=3

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