1 / 20

D avid De Roure

The New e-Science. D avid De Roure. 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. 1.

raven-booth
Télécharger la présentation

D avid De Roure

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Newe-Science David De Roure

  2. Between 19th October and23rd November 2007 I attended sixinternational meetings related to e-Science Grid 2007Scientific and Scholarly Workflowse-Social Science 2007W3C Open Grid ForumMicrosoft e-Science This is what I found

  3. 1 Everyday researchers doing everyday research • 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”

  4. 2 A data-centric perspective, like researchers • 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

  5. 3 Collaborative and participatory • 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

  6. 4 Benefitting from the scale of digital science activity to support science • This is new and powerful! • Community intelligence • Review • Usage informing recommendation • e.g. OpenWetWare • e.g. myExperiment

  7. 5 Increasingly open • ...in terms of scholarly outputs and their reuse • Preprints servers and institutional repositories • Open journals • Open access to data • Science Commons • Object Reuse & Exchange

  8. 6 Better not Perfect • The technologies people are using are not perfect • They are better • They are easy to use • They are chosen by scientists

  9. 7 Empowering researchers • 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

  10. 8 About pervasive computing • e-Science is about the intersection of the digital and physical worlds • Sensor networks • Mobile handheld devices

  11. Signs of the Times • 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

  12. Onward and Upward • 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”

  13. The Grid Problem • 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

  14. e-Science Pipeline The Arrow Problem Applications Research CS Research EE Research Mass Use by Researchers e-Science bespoketailoring e-Science Technology Creators & Integrators Socio-economic& CommercialInnovation e-Science 10s ofintegrators 100s ofembeddedconsultants 1000s ofresearchusers 5 years 5 years 5 years

  15. Web Browser Mobile phone iPod Car Equipment PDA Scientists Software Companies SubjectICT experts applications workflows Workflowtools ecosystem Computer Scientists nesc mashups SoftwareEngineers open source services Ruby on Rails Web Services RESTful APIs cmd lines ssh http P2P

  16. For a flourishing ecosystem... • 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(?)

  17. Others are saying this too... Tony Hey

  18. Carole Goble

  19. Geoffrey Fox

  20. Contact David De Roure dder@ecs.soton.ac.uk Thanks to Malcolm Atkinson Geoffrey Fox Carole Goble Tony Hey

More Related