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Bangalore Edition
[object Object],e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.
How do we know when e-Science has succeeded? Not just  accelerated  but  new A. When everyone is using the Grid B. When there are routine scientific advances that would not have happened otherwise
How do we move from heroic scientists doing heroic science with heroic infrastructure to everyday scientists doing science they couldn’t do before? humanists archaeologists geographers musicologists ... researchers! research It’s the democratisation of e-Science!  
scientists Digital Libraries Graduate Students Undergraduate Students experimentation Data, Metadata Provenance Workflows Ontologies The social process of science Local Web Repositories Virtual Learning Environment Technical Reports Reprints Peer-Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses
[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],Everyday researchers doing everyday research 1
[object Object],[object Object],[object Object],A data-centric perspective, like researchers 2
[object Object],[object Object],[object Object],[object Object],Collaborative and participatory 3
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Benefitting from the scale of digital science activity to support science  4
[object Object],[object Object],[object Object],[object Object],[object Object],Increasingly open 5
[object Object],[object Object],[object Object],[object Object],Better not Perfect 6
[object Object],[object Object],[object Object],Empowering researchers 7
[object Object],[object Object],[object Object],About pervasive computing 8
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Signs of the Times
[object Object],[object Object],[object Object],Onward and Upward “ Standing on the shoulders of giants”
 
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],The Grid Problem
e-Science Pipeline e-Science Technology Creators & Integrators Applications Research EE Research Socio-economic & Commercial Innovation e-Science bespoke tailoring Mass Use by Researchers 5 years 5 years 5 years CS Research e-Science 10s of integrators 100s of embedded consultants 1000s of research users The Arrow Problem Malcolm Atkinson
Web Services RESTful APIs cmd lines ssh http Web Browser Mobile phone iPod Car Equipment PDA P2P mashups workflows services applications Subject ICT experts Computer  Scientists Software Companies Workflow tools Ruby on Rails ecosystem Scientists open source Software Engineers nesc
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],For a flourishing ecosystem...
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],But what about Web 2.0?!
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Signs of the Times The Long Tail Data is the Next “Intel Inside” Users add value Network effects by default Some Rights Reserved The Perpetual Beta Cooperate, don’t Contol Software above the level of the single device Web 2.0 patterns
use Web 2.0 here? Grid
use Web 2.0 here? Grid
use Web 2.0 here Grid
A  utility is a directly and immediately useable service  with established functionality, performance and dependability, illustrating the emphasis on user needs and issues such as trust Services are knowledge-assisted  (‘semantic’) to facilitate automation and advanced functionality, the knowledge aspect reinforced by the emphasis on delivering high level services to the user Service-Oriented Knowledge Utility The  architecture comprises   services  which may be instantiated and assembled dynamically, hence the structure, behaviour and location of software is changing at run-time
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Myths
myexperiment.org
[object Object],[object Object],[object Object],[object Object],E. Science laboris
[object Object],[object Object],[object Object],[object Object],[object Object],Recycling, Reuse, Repurposing
40 Taverna downloads per day 2007 2006 2005 2004 2003
[object Object],[object Object],[object Object],[object Object],e-Services in the Cloud
Kepler Triana BPEL Ptolemy II
myExperiment.org is… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],myExperiment.org is...
 
 
Google Gadget
Challenge: Policy and Permissions  without Tears Ownership and Attribution
24/5/2007  |  myExperiment  |  Slide
` Enactor HTML XML Snapshot map of resources with their relationships and versions users descriptions groups friendships tags blobs workflows
scientists Graduate Students Undergraduate Students experimentation Data, Metadata Provenance Workflows Ontologies Digital Libraries The social process of science 2.0 Local Web Repositories Virtual Learning Environment Technical Reports Reprints Peer-Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Take Homes 2.0
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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The New e-Science (Bangalore Edition)

  • 2.
  • 3. How do we know when e-Science has succeeded? Not just accelerated but new A. When everyone is using the Grid B. When there are routine scientific advances that would not have happened otherwise
  • 4. How do we move from heroic scientists doing heroic science with heroic infrastructure to everyday scientists doing science they couldn’t do before? humanists archaeologists geographers musicologists ... researchers! research It’s the democratisation of e-Science! 
  • 5. scientists Digital Libraries Graduate Students Undergraduate Students experimentation Data, Metadata Provenance Workflows Ontologies The social process of science Local Web Repositories Virtual Learning Environment Technical Reports Reprints Peer-Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses
  • 6.
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  • 19. e-Science Pipeline e-Science Technology Creators & Integrators Applications Research EE Research Socio-economic & Commercial Innovation e-Science bespoke tailoring Mass Use by Researchers 5 years 5 years 5 years CS Research e-Science 10s of integrators 100s of embedded consultants 1000s of research users The Arrow Problem Malcolm Atkinson
  • 20. Web Services RESTful APIs cmd lines ssh http Web Browser Mobile phone iPod Car Equipment PDA P2P mashups workflows services applications Subject ICT experts Computer Scientists Software Companies Workflow tools Ruby on Rails ecosystem Scientists open source Software Engineers nesc
  • 21.
  • 22.
  • 23.
  • 24. use Web 2.0 here? Grid
  • 25. use Web 2.0 here? Grid
  • 26. use Web 2.0 here Grid
  • 27. A utility is a directly and immediately useable service with established functionality, performance and dependability, illustrating the emphasis on user needs and issues such as trust Services are knowledge-assisted (‘semantic’) to facilitate automation and advanced functionality, the knowledge aspect reinforced by the emphasis on delivering high level services to the user Service-Oriented Knowledge Utility The architecture comprises services which may be instantiated and assembled dynamically, hence the structure, behaviour and location of software is changing at run-time
  • 28.
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  • 31.
  • 32. 40 Taverna downloads per day 2007 2006 2005 2004 2003
  • 33.
  • 34. Kepler Triana BPEL Ptolemy II
  • 35.
  • 36.  
  • 37.  
  • 39. Challenge: Policy and Permissions without Tears Ownership and Attribution
  • 40. 24/5/2007 | myExperiment | Slide
  • 41. ` Enactor HTML XML Snapshot map of resources with their relationships and versions users descriptions groups friendships tags blobs workflows
  • 42. scientists Graduate Students Undergraduate Students experimentation Data, Metadata Provenance Workflows Ontologies Digital Libraries The social process of science 2.0 Local Web Repositories Virtual Learning Environment Technical Reports Reprints Peer-Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses
  • 43.
  • 44.