The Fourth Paradigm: Data-Intensive Scientific Discovery 2009

Introductions

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

Part 1: Earth and Environment

• Dan Fay:
  Part 1 - Introduction. 3-4
  
• Alexander S. Szalay, José A. Blakeley:
  Gray's laws: database-centric computing in science. 5-11
  
• Jeff Dozier, William B. Gail:
  The emerging science of environmental applications. 13-19
  
• James R. Hunt, Dennis D. Baldocchi, Catharine van Ingen:
  Redefining ecological science using data. 21-26
  
• John R. Delaney, Roger S. Barga:
  A 2020 vision for ocean science. 27-38
  
• Alyssa Goodman, Curtis Wong:
  Bringing the night sky closer: discoveries in the data deluge. 39-44
  
• Michael Lehning, Nicholas Dawes, Mathias Bavay, Marc Parlange, Suman Nath, Feng Zhao:
  Instrumenting the earth: next-generation sensor networks and environmental science. 45-51
  

Part 2: Health and Wellbeing

• Simon Mercer:
  Part 2 - Introduction. 55-56
  
• Michael Gillam, Craig Feied, Jonathan Handler, Eliza Moody, Ben Shneiderman, Catherine Plaisant, Mark Smith, John Dickason:
  The healthcare singularity and the age of semantic medicine. 57-64
  
• Joel Robertson, Del DeHart, Kristin M. Tolle, David Heckerman:
  Healthcare delivery in developing countries: challenges and potential solutions. 65-73
  
• Jeff W. Lichtman, R. Clay Reid, Hanspeter Pfister, Michael F. Cohen:
  Discovering the wiring diagram of the brain. 75-82
  
• Eric Horvitz, William B. Kristan Jr.:
  Toward a computational microscope for neurobiology. 83-89
  
• Iain E. Buchan, John M. Winn, Christopher M. Bishop:
  A unified modeling approach to data-intensive healthcare. 91-97
  
• Luca Cardelli, Corrado Priami:
  Visualization in process algebra models of biological systems. 99-105
  

Part 3: Scientific Infrastructure

• Daron Green:
  Part 3 - Introduction. 109-110
  
• Mark R. Abbott:
  A new path for science? 111-116
  
• Christopher Southan, Graham Cameron:
  Beyond the tsunami: developing the infrastructure to deal with life sciences data. 117-123
  
• James R. Larus, Dennis Gannon:
  Multicore computing and scientific discovery. 125-129
  
• Dennis Gannon, Daniel A. Reed:
  Parallelism and the cloud. 131-135
  
• Carole A. Goble, David De Roure:
  The impact of workflow tools on data-centric research. 137-145
  
• Peter Fox, James A. Hendler:
  Semantic escience: encoding meaning in next-generation digitally enhanced science. 147-152
  
• Charles Hansen, Chris R. Johnson, Valerio Pascucci, Cláudio T. Silva:
  Visualization for data-intensive science. 153-163
  
• Savas Parastatidis:
  A platform for all that we know: creating a knowledge-driven research infrastructure. 165-172
  

Part 4: Scholarly Communication

• Lee Dirks:
  Part 4 - Introduction. 175-176
  
• Clifford A. Lynch:
  Jim Gray's fourth paradigm and the construction of the scientific record. 177-183
  
• Paul Ginsparg:
  Text in a data-centric world. 185-191
  
• Herbert Van de Sompel, Carl Lagoze:
  All aboard: toward a machine-friendly scholarly communication system. 193-199
  
• Anne Fitzgerald, Brian Fitzgerald, Kylie Pappalardo:
  The future of data policy. 201-208
  
• John Wilbanks:
  I have seen the paradigm shift, and it is us. 209-214
  
• Timo Hannay:
  From web 2.0 to the global database. 215-220
  

Final Thoughts

• Craig J. Mundie:
  The way forward. 223-226
  
• Tony Hey, Stewart Tansley, Kristin M. Tolle:
  Conclusions and Next Steps. 227-230
  

Last update Thu May 17 01:38:19 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page