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

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

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