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Between 19 th  October and 23 rd  November 2007  I attended six international meetings  related to e-Science Grid 2007 Scientific and Scholarly Workflows e-Social Science 2007 W3C Open Grid Forum Microsoft e-Science This is what I found
Not just a specialist few doing heroic science with heroic infrastructure Everyone is mashing up Chemists are blogging the lab People are buying multicore machines and mobile devices The cloud and the “long tail” Everyday researchers doing everyday research 1
Data is large, rich, complex and real-time There is new value in data, through new digital artefacts and through metadata e.g. context, provenance, workflows This isn’t anti-computation – just design around data A data-centric perspective, like researchers 2
The social process of science revisited in the digital age “ Users add value” is the very nature of research e-Science now focuses on publishing as well as consuming Scholarly lifecycle perspective Collaborative and participatory 3
This is new and powerful! Community intelligence Review Usage informing recommendation e.g. OpenWetWare e.g. myExperiment Benefitting from the scale of digital science activity to support science  4
...in terms of scholarly outputs and their reuse  Preprints servers and institutional repositories Open journals Open access to data Science Commons Object Reuse & Exchange Increasingly open 5
The technologies people are using are not perfect They are better They are easy to use They are chosen by scientists Better not Perfect 6
The success stories come from the researchers who have learned to use ICT Domain ICT experts are delivering the solutions Anything that takes away autonomy will be resisted Empowering researchers 7
e-Science is about the intersection of the digital and physical worlds  Sensor networks Mobile handheld devices About pervasive computing 8
Everyday researchers doing everyday research A data-centric perspective, like researchers Collaborative and participatory Benefitting from the scale of digital science activity to support science  Increasingly open Better not Perfect Empowering researchers About pervasive computing Signs of the Times
e-Science is now enabling researchers to do some completely new stuff! As the individual pieces become easy to use, researchers can bring them together in new ways and ask new questions “ The next level” Onward and Upward
Everyday researchers doing everyday research BUT  heroic infrastructure not being adopted A data-centric perspective, like researchers BUT  Grid gives APIs to computation not data Collaborative and participatory BUT  deeply rooted service provider mindset Better not Perfect BUT  aims to provide well-engineered perfect solution Giving autonomy to researchers BUT  imposes institutional control (at this time) About pervasive computing BUT  about portals and not the next generation of users 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
It’s about empowerment as well as provision People power Hence usability: Simple interfaces for users Simple interfaces for developers No need for a summer school! Step into user space and look back Computer Scientists as facilitators and problem solvers(?) For a flourishing ecosystem...
Tony Hey Others are saying this too...
Carole Goble
Geoffrey Fox
Contact David De Roure dder@ecs.soton.ac.uk  Thanks to Malcolm Atkinson Geoffrey Fox Carole Goble Tony Hey

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The New e-Science

  • 1.  
  • 2. Between 19 th October and 23 rd November 2007 I attended six international meetings related to e-Science Grid 2007 Scientific and Scholarly Workflows e-Social Science 2007 W3C Open Grid Forum Microsoft e-Science This is what I found
  • 3. Not just a specialist few doing heroic science with heroic infrastructure Everyone is mashing up Chemists are blogging the lab People are buying multicore machines and mobile devices The cloud and the “long tail” Everyday researchers doing everyday research 1
  • 4. Data is large, rich, complex and real-time There is new value in data, through new digital artefacts and through metadata e.g. context, provenance, workflows This isn’t anti-computation – just design around data A data-centric perspective, like researchers 2
  • 5. The social process of science revisited in the digital age “ Users add value” is the very nature of research e-Science now focuses on publishing as well as consuming Scholarly lifecycle perspective Collaborative and participatory 3
  • 6. This is new and powerful! Community intelligence Review Usage informing recommendation e.g. OpenWetWare e.g. myExperiment Benefitting from the scale of digital science activity to support science 4
  • 7. ...in terms of scholarly outputs and their reuse Preprints servers and institutional repositories Open journals Open access to data Science Commons Object Reuse & Exchange Increasingly open 5
  • 8. The technologies people are using are not perfect They are better They are easy to use They are chosen by scientists Better not Perfect 6
  • 9. The success stories come from the researchers who have learned to use ICT Domain ICT experts are delivering the solutions Anything that takes away autonomy will be resisted Empowering researchers 7
  • 10. e-Science is about the intersection of the digital and physical worlds Sensor networks Mobile handheld devices About pervasive computing 8
  • 11. Everyday researchers doing everyday research A data-centric perspective, like researchers Collaborative and participatory Benefitting from the scale of digital science activity to support science Increasingly open Better not Perfect Empowering researchers About pervasive computing Signs of the Times
  • 12. e-Science is now enabling researchers to do some completely new stuff! As the individual pieces become easy to use, researchers can bring them together in new ways and ask new questions “ The next level” Onward and Upward
  • 13. Everyday researchers doing everyday research BUT heroic infrastructure not being adopted A data-centric perspective, like researchers BUT Grid gives APIs to computation not data Collaborative and participatory BUT deeply rooted service provider mindset Better not Perfect BUT aims to provide well-engineered perfect solution Giving autonomy to researchers BUT imposes institutional control (at this time) About pervasive computing BUT about portals and not the next generation of users The Grid Problem
  • 14. 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
  • 15. 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
  • 16. It’s about empowerment as well as provision People power Hence usability: Simple interfaces for users Simple interfaces for developers No need for a summer school! Step into user space and look back Computer Scientists as facilitators and problem solvers(?) For a flourishing ecosystem...
  • 17. Tony Hey Others are saying this too...
  • 20. Contact David De Roure dder@ecs.soton.ac.uk Thanks to Malcolm Atkinson Geoffrey Fox Carole Goble Tony Hey