The Fourth Paradigm: Data-Intensive Scientific Discovery

by Tony Hey

This book presents the first broad look at the rapidly emerging field of data-intensive science, with the goal of influencing the worldwide scientific and computing research communities and inspiring... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 0982544200
• ISBN13: 9780982544204
• Release Date: October 2009
• Publisher: Microsoft Research
• Length: 252 Pages
• Weight: 1.75 lbs.
• Dimensions: 0.8" x 6.9" x 9.9"

Customer Reviews

Great book, great price in the kindle version

I bought the book for my IPhone. Great book. Enjoyed the price (.99 dls for the Iphone; 39 dollars for the paper back)

Why is more important than how

Computer Science is still in early days, and often its tools are the object of study. This book focuses on how our ability to process data is helpful to Science. Tycho Brahe left us lots of measurements still readable today. Bits nowadays are more volatile than that. It is a very interesting book, made of papers, and a starting point for a vision. Dedicated to a great person and researcher. I hope that the "Microsoft" tag wouldn't lead someone to ignore it, not always there is a hidden plot, and in this case it's just a book that people working with someone felt to write to honor his work and his memory.

A lot of new tools are going to be required

"We have to do better producing tools to support the whole research cycle - from data capture and data curation to data analysis and data visualization." - Jim Gray The Fourth Paradigm is a collection of papers talks on research areas that aim to improve the research cycle. The talks are a memorial to Microsoft Tech Fellow Jim Gray. Gray had the insight that science has gone through four paradigms so far. The first paradigm, which has lasted over the last few thousand years, was empirical science which describes natural phenomena. Over the last few hindered years, the second paradigm of theoretical science using models and generalizations has occurred. Within the last 50 to 70 years, the third paradigm of computational science has developed to simulate complex phenomena. Finally, the fourth paradigm (also known as eScience) has developed to unify theory, experiment, and simulation. Jim Gray says:"... it is worth distinguishing data-intensive science from computational science as a new, fourth paradigm for scientific exploration." The book itself is divided into four major sections: Earth and Environment, Health and Wellbeing, Scientific Infrastructure, and Scholarly Communications with 6 to 8 papers per section. The emphasis here is on science; however, I'd assert that all these areas directly impact engineering as well. For example, the flight test of a new product involves an enormous amount of data, which produces much analysis, knowledge, and understanding. The principle idea of eScience (and eEngineering) is that the data and analysis interoperate with each other, such that information is at your fingertips for everyone, everywhere. The payoff is a large increase in information velocity and productivity. In the end, an analysis or report will be an overlay on the data. I have seen this start to happen, and agree with Jim Gray that our current tools are very primitive - a lot of new tools are going to be required. A paper that I found particularly interesting was "Discovering the Wiring of the Brain" Their summary is: "Decoding the complete connectome of the human brain is one of the great challenges of the 21st century." I agree - and discovering the scientific and engineering applications that will emerge will be even more of a challenge. This is an area that requires an entire new way to handle all the data - consider that a snapshot 1 cubic mm of image data from a human brain contains a petabyte of data, and that a human brain contains about one million cubic mm. This fascinating book is availed for free download at the Microsoft Research website at [...]/ I think any working scientist or engineer will find much to learn and think about in this collection of papers on the emerging Fourth Paradigm and the world of eScience (and eEnginnering)