The Fourth Paradigm: Data-Intensive Scientific Discovery
Edited by Tony Hey, Stewart Tansley, and Kristin Tolle

This book is currently available as separate PDF files for online reading or downloading. Select chapters or individual essays below or get the full-text version of the book.

Introductions

• Foreword Gordon Bell
• Jim Gray on eScience: a transformed scientific method
  Edited by Tony Hey, Stewart Tansley, and Kristin Tolle

Part 1: Earth and Environment

 All Essays in Part 1

• Introduction Dan Fay
• Gray’s laws: database-centric computing in science
  Alexander S. Szalay, José A. Blakeley
• The emerging science of environmental applications 
  Jeff Dozier, William B. Gail
• Redefining ecological science using data
  James R. Hunt, Dennis D. Baldocchi, Catharine van Ingen
• A 2020 vision for ocean science 
  John R. Delaney, Roger S. Barga
• Bringing the night sky closer: discoveries in the data deluge
  Alyssa A. Goodman, Curtis G. Wong
• Instrumenting the earth: next-generation sensor networks and environmental science 
  Michael Lehning, Nicholas Dawes, Mathias Bavay, Marc Parlange, Suman Nath,
  Feng Zhao

Part 2: Health and Wellbeing

All Essays in Part 2

• Introduction Simon Mercer
• The healthcare singularity and the age of semantic medicine
  Michael Gillam, Craig Feied, Jonathan Handler, Eliza Moody, Ben Shneiderman, Catherine Plaisant, Mark Smith, John Dickason
• Healthcare delivery in developing countries: challenges and potential solutions
  Joel Robertson, Del DeHart, Kristin Tolle, David Heckerman
• Discovering the wiring diagram of the brain 
  Jeff W. Lichtman, R. Clay Reid, Hanspeter Pfister, Michael F. Cohen
• Toward a computational microscope for neurobiology 
  Eric Horvitz, William Kristan
• A unified modeling approach to data-intensive healthcare
  Iain Buchan, John Winn, Chris Bishop
• Visualization in process algebra models of biological systems
  Luca Cardelli, Corrado Priami

Part 3: Scientific Infrastructure

All Essays in Part 3

• Introduction Daron Green
• A new path for science? Mark R. Abbott
• Beyond the tsunami: developing the infrastructure to deal with life sciences data
  Christopher Southan, Graham Cameron
• Multicore computing and scientific discovery
  James Larus, Dennis Gannon
• Parallelism and the cloud
  Dennis Gannon, Dan Reed
• The impact of workflow tools on data-centric research
  Carole Goble, David De Roure
• Semantic escience: encoding meaning in next-generation digitally enhanced science
  Peter Fox, James Hendler
• Visualization for data-intensive science
  Charles Hansen, Chris R. Johnson, Valerio Pascucci, Claudio T. Silva
• A platform for all that we know: creating a knowledge-driven research infrastructure Savas Parastatidis

Part 4: Scholarly Communication

All Essays in Part 4

• Introduction Lee Dirks
• Jim Gray’s fourth paradigm and the construction of the scientific record  Clifford Lynch
• Text in a data-centric world Paul Ginsparg
• All aboard: toward a machine-friendly scholarly communication system
  Herbert Van de Sompel, Carl Lagoze
• The future of data policy
  Anne Fitzgerald, Brian Fitzgerald, Kylie Pappalardo
• I have seen the paradigm shift, and it is us John Wilbanks
• From web 2.0 to the global database Timo Hannay

Final Thoughts

• The way forward Craig Mundie
• Conclusions and Next Steps
  Tony Hey, Stewart Tansley, Kristin Tolle

• The Fourth Paradigm Home

Related Links

• Learn more about Microsoft Research collaborative projects