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DavidDeRoure
Eindhoven Edition
Due to the complexity of the software
and the backend infrastructural
requirements, e-Science projects usually
involve lar...
How do we know when e-Science
has succeeded?
Not just accelerated but new
A. When everyone is using the Grid
B. When there...
How do we move from heroic scientists doing
heroic science with heroic infrastructure to
everyday scientists doing science...
scientists
Local
Web
Repositories
Digital
Libraries
Graduate
Students
Undergraduate
Students
Virtual Learning
Environment
...
Between 19th October and
23rd November 2007
I attended six
international meetings
related to e-Science
Grid 2007
Scientifi...
Everyday researchers doing
everyday research
• Not just a specialist few doing
heroic science with heroic
infrastructure
•...
A data-centric perspective, like
researchers
• Data is large, rich, complex and
real-time
• There is new value in data,
th...
Collaborative and participatory
• The social process of science
revisited in the digital age
• Collaborative tools – blogs...
Benefitting from the scale of digital
science activity to support science
• This is new and powerful!
• Community intellig...
Increasingly open
• Preprints servers and
institutional repositories
• Open journals
• Open access to data
• Science Commo...
Better not Perfect
• The technologies people
are using are not perfect
• They are better
• They are easy to use
• They are...
Empowering researchers
• The success stories come
from the researchers who
have learned to use ICT
• Domain ICT experts ar...
About pervasive computing
• e-Science is about
the intersection of
the digital and
physical worlds
• Sensor networks
• Mob...
1. Everyday researchers doing everyday research
2. A data-centric perspective, like researchers
3. Collaborative and parti...
• e-Science is now
enabling
researchers to do
some completely
new stuff!
• As the individual
pieces become easy
to use, re...
Note to Reader. The next slides are not intended to be
anti-grid. Everyone working on Grid is doing great work.
• Everyday researchers doing everyday research
BUT heroic Grid infrastructure not being adopted
• A data-centric perspecti...
e-Science
Technology
Creators
& Integrators
Applications
Research
EE
Research
Socio-economic
&
Commercial
Innovation
e-Sci...
Don’t think rollout of technologies...
Think roll-in of researchers...
Mass
Use by
Researchers
Mass
Use by
Researchers
Kno...
Web Services RESTful APIs cmd lines ssh http
Web Browser Mobile phone iPod Car Equipment PDA
P2P
mashups
workflows
service...
• It’s about empowerment as well as provision
• People power – the new instrument of scale!
• Hence usability:
– Simple/fa...
• Wikis
• Mashups
• REST APIs
• Google Maps
• Technologies:
– AJAX, JSON, Ruby on Rails, ...
• Social networking
• Web as ...
Signs of the Times
The Long Tail
Data is the Next Intel Inside
Users add value
Network effects by default
Some Rights Rese...
use Web 2.0 here?
Grid
use
Web 2.0
here?
Grid
Grid
use Web 2.0 here
Gridcloud
HPC
A utility is a directly and
immediately useable
service with established
functionality,
performance and
dependability, ill...
If you peel back the label and it says “Grid” or “OGSA”
underneath… it is not a cloud.
If you need to send a 40 page requi...
Multicore chips will offer so much
performance that we need not cobble
together heterogeneous resources but
rather can dep...
• Web 2.0 is not high performance
– It improves the performance of science and people!
• Web 2.0 is not a properly enginee...
N2
N
N
One Middleware2N
N
N
Middleware?
N
N
Middleware
Middleware
Middleware
Middleware
Middleware
Polynomial
involving N1,
N2 and M
www.myexperiment.org
 Workflows are the new rock
and roll
 Machinery for coordinating
the execution of (scientific)
services and linking toge...
 Paul writes workflows for identifying biological
pathways implicated in resistance to
Trypanosomiasis in cattle
 Paul m...
20072006200520042003
40
Taverna downloads per day
taverna.sourceforge.net
• Run on your laptop – no
sysadmin required
• Access independent third party
world-wide service providers of
applications,...
Kepler
Triana
BPEL
Ptolemy II
myExperiment.org is…
 “Facebook for Scientists”...but
different to Facebook!
 A community social network.
 A gateway to...
Google Gadget
Ownership and Attribution
24/5/2007 | myExperiment |
Slide 46
`
users
descriptions
groups
friendships
tags
Enactor
blobs
workflows
HTML
XML
Snapshot map
of resources
with their
relatio...
scientists
Local
Web
Repositories
Graduate
Students
Undergraduate
Students
Virtual Learning
Environment
Technical
Reports
...
• e-Research is about doing new research
• Grid is just one part of the solution
• Users are not just consumers of
infrast...
Contact
David De Roure
dder@ecs.soton.ac.uk
Carole Goble
carole.goble@manchester.ac.uk
Thanks
Malcolm Atkinson, Geoffrey F...
The New e-Science (Eindhoven Edition)
The New e-Science (Eindhoven Edition)
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The New e-Science (Eindhoven Edition)

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The New e-Science (Eindhoven Edition)

  1. 1. DavidDeRoure Eindhoven Edition
  2. 2. Due to the complexity of the software and the backend infrastructural requirements, e-Science projects usually involve large teams managed and developed by research laboratories, large universities or governments. e-Science is about global collaboration in key areas of science, and the next generation of infrastructure that will enable it.
  3. 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. 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-Research 
  5. 5. scientists Local Web Repositories Digital Libraries Graduate Students Undergraduate Students Virtual Learning Environment Technical Reports Reprints Peer- Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses experimentation Data, Metadata Provenance Workflows Ontologies The social process of science
  6. 6. Between 19th October and 23rd 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
  7. 7. Everyday researchers doing everyday research • Not just a specialist few doing heroic science with heroic infrastructure • Chemists are blogging the lab • Everyone is mashing up • Everday hardware – multicore machines and mobile devices 1
  8. 8. 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” – design interaction around data 2
  9. 9. Collaborative and participatory • The social process of science revisited in the digital age • Collaborative tools – blogs and Wikis • e-Science now focuses on publishing as well as consuming • Scholarly lifecycle perspective 3
  10. 10. 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 4
  11. 11. Increasingly open • Preprints servers and institutional repositories • Open journals • Open access to data • Science Commons • Object Reuse & Exchange 5
  12. 12. Better not Perfect • The technologies people are using are not perfect • They are better • They are easy to use • They are chosen by scientists 6
  13. 13. 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 7
  14. 14. About pervasive computing • e-Science is about the intersection of the digital and physical worlds • Sensor networks • Mobile handheld devices 8
  15. 15. 1. Everyday researchers doing everyday research 2. A data-centric perspective, like researchers 3. Collaborative and participatory 4. Benefitting from the scale of digital science activity to support science 5. Increasingly open 6. Better not Perfect 7. Empowering researchers 8. About pervasive computing Signs of the Times
  16. 16. • 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 “Standing on the shoulders of giants” www.w3.org/2007/Talks/www2007-AnsweringScientificQuestions-Ruttenberg.pdf (Everyday researchers are giants too)
  17. 17. Note to Reader. The next slides are not intended to be anti-grid. Everyone working on Grid is doing great work.
  18. 18. • Everyday researchers doing everyday research BUT heroic Grid infrastructure not being adopted • A data-centric perspective, like researchers BUT Grid gives APIs to computation not data • Collaborative and participatory BUT Grid has deeply rooted service provider mindset • Better not Perfect BUT Grid aims to provide well-engineered perfect solution • Giving autonomy to researchers BUT Grid has feel of institutional control (at this time) • About pervasive computing BUT Grid is about portals, not the next generation of users The Grid Problem
  19. 19. 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 e-Science Pipeline Malcolm Atkinson NB This isn’t wrong!
  20. 20. Don’t think rollout of technologies... Think roll-in of researchers... Mass Use by Researchers Mass Use by Researchers Knowledge co-production vs Service Delivery!
  21. 21. Web Services RESTful APIs cmd lines ssh http Web Browser Mobile phone iPod Car Equipment PDA P2P mashups workflows services applicationsSubject ICT experts Computer Scientists Software Companies Workflow tools Ruby on Rails ecosystem Scientists open source Software Engineers nesc OeRC
  22. 22. • It’s about empowerment as well as provision • People power – the new instrument of scale! • Hence usability: – Simple/familiar interfaces for users – Simple/familiar 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...
  23. 23. • Wikis • Mashups • REST APIs • Google Maps • Technologies: – AJAX, JSON, Ruby on Rails, ... • Social networking • Web as a distributed application platform – Amazon S3 and EC2 But what about Web 2.0?!
  24. 24. 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 Control Software above the level of the single device Web 2.0 patterns www.oreilly.com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20.html 1. Everyday researchers doing everyday research 2. A data-centric perspective, like researchers 3. Collaborative and participatory 4. Benefitting from the scale of digital science activity 5. Increasingly open 6. Better not Perfect 7. Empowering researchers 8. About pervasive computing
  25. 25. use Web 2.0 here? Grid
  26. 26. use Web 2.0 here? Grid
  27. 27. Grid use Web 2.0 here Gridcloud HPC
  28. 28. 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 The architecture comprises services which may be instantiated and assembled dynamically, hence the structure, behaviour and location of software is changing at run-time Service-Oriented Knowledge Utility semanticgrid.org/NGG3
  29. 29. If you peel back the label and it says “Grid” or “OGSA” underneath… it is not a cloud. If you need to send a 40 page requirements document to the vendor then… it is not cloud. If you can’t buy it on your personal credit card… it is not a cloud If they are trying to sell you hardware… it is not a cloud. If there is no API… it is not a cloud. If you need to rearchitect your systems for it… it is not a cloud. If it takes more than ten minutes to provision… it is not a cloud. If you can’t deprovision in less than ten minutes… it is not a cloud. If you know where the machines are… it is not a cloud. If there is a consultant in the room… it is not a cloud. If you need to specify the number of machines you want upfront… it is not a cloud. If it only runs one operating system… it is not a cloud. If you can’t connect to it from your own machine… it is not a cloud. If you need to install software to use it… it is not a cloud. If you own all the hardware… it is not a cloud. James Governor
  30. 30. Multicore chips will offer so much performance that we need not cobble together heterogeneous resources but rather can deploy simple powerful systems GeoffreyFox Intel Developer Forum
  31. 31. • Web 2.0 is not high performance – It improves the performance of science and people! • Web 2.0 is not a properly engineered solution – Scientists want better, not perfect. And agility. • Web 2.0 is not secure – People do lots of “secure” things on the Web • Web 2.0 is a fad that will pass – It’s inevitable and it’s already happened! • Web 2.0 works for teenagers but it won’t for scientists – See OpenWetWare • Web 2.0 lets the oiks in and this is a bad thing – Now we can do peer review even better! Myths
  32. 32. N2 N N
  33. 33. One Middleware2N N N
  34. 34. Middleware? N N Middleware Middleware Middleware Middleware Middleware Polynomial involving N1, N2 and M
  35. 35. www.myexperiment.org
  36. 36.  Workflows are the new rock and roll  Machinery for coordinating the execution of (scientific) services and linking together (scientific) resources  The era of Service Oriented Applications  Repetitive and mundane boring stuff made easier E. Science laboris Carole Goble
  37. 37.  Paul writes workflows for identifying biological pathways implicated in resistance to Trypanosomiasis in cattle  Paul meets Jo. Jo is investigating Whipworm in mouse.  Jo reuses one of Paul’s workflow without change.  Jo identifies the biological pathways involved in sex dependence in the mouse model, believed to be involved in the ability of mice to expel the parasite.  Previously a manual two year study by Jo had failed to do this. Recycling, Reuse, Repurposing
  38. 38. 20072006200520042003 40 Taverna downloads per day taverna.sourceforge.net
  39. 39. • Run on your laptop – no sysadmin required • Access independent third party world-wide service providers of applications, tools and datasets – 850 databases, 166 web servers Nucleic Acids Research Jan 2006 • My local applications, tools and datasets. In the Enterprise. In the laboratory. • Easily incorporate new services without coding The Superclient
  40. 40. Kepler Triana BPEL Ptolemy II
  41. 41. myExperiment.org is…  “Facebook for Scientists”...but different to Facebook!  A community social network.  A gateway to other publishing environments  A federated repository  A platform for launching workflows  Publishing self-describing Encapsulated myExperiment Objects  Mindful publication  Started March 2007  Closed beta since July 2007  Open beta November 2007 myExperiment.org is...
  42. 42. Google Gadget
  43. 43. Ownership and Attribution
  44. 44. 24/5/2007 | myExperiment | Slide 46
  45. 45. ` users descriptions groups friendships tags Enactor blobs workflows HTML XML Snapshot map of resources with their relationships and versions
  46. 46. scientists Local Web Repositories Graduate Students Undergraduate Students Virtual Learning Environment Technical Reports Reprints Peer- Reviewed Journal & Conference Papers Preprints & Metadata Certified Experimental Results & Analyses experimentation Data, Metadata Provenance Workflows Ontologies Digital Libraries The social process of science 2.0
  47. 47. • e-Research is about doing new research • Grid is just one part of the solution • Users are not just consumers of infrastructure. Empower them. • Web 2.0 is a set of design patterns • Think Web 2.0 coupling Grid and other services • Workflows make e-Science easier, and Web 2 makes workflows easier  Take Homes 2.0
  48. 48. Contact David De Roure dder@ecs.soton.ac.uk Carole Goble carole.goble@manchester.ac.uk Thanks Malcolm Atkinson, Geoffrey Fox, Jeremy Frey, Savas Parastatides, The myGrid Family

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