1. UK e-Science EGEE Second Users’ Forum Dave Berry Deputy Director for Research with apologies from Malcolm Atkinson www.nesc.ac.uk 10 th May 2007

2. Overview History of e-Science in UK > 6 years Three Significant Strengths Established Communities & Breadth Science projects (70% of funding, Demanding drivers) e-Infrastructure (hardware, software & training)

3. Defining e-Science e-Science: Systematic Support for Collaborative Research using advanced ICT Multi-disciplinary, Multi-Site & Multi-National All disciplines contribute & benefit Enabling wider engagement Building on and demanding advances in Computing Science Using advances in computing to support research, design, diagnosis Dates back 50 years Prevalent in branches of biology >30 years Prevalent in Engineering for >40 years New emphasis on collaboration, sharing & interdisciplinarity

4. UK e-Science From presentation by Tony Hey GGF5 Edinburgh

5. Staff costs - Grid Resources Computers & Network funded separately EPSRC Breakdown UK e-Science Budget (2001-2006) Source: Science Budget 2003/4 – 2005/6, DTI(OST) Total: £213M + Industrial Contributions £25M + £100M via JISC Slide from Steve Newhouse

6. UK e-Science Diversity Thriving Community All disciplines & all Research Councils Industry & Academia Many universities & research institutes UK e-Science All Hands Meetings Productive collaboration

7. e-Infrastructure A shared resource That enables science, research, engineering, medicine, industry, … It will improve UK / European / … productivity  Lisbon Accord 2000  E-Science Vision SR2000 – John Taylor Commitment by UK government  Sections 2.23-2.25 Always there  c.f. telephones, transport, power OSI report  www.nesc.ac.uk/documents/ OSI/index.html

8. http://www.allhands.org.uk/index.html

9. Edinburgh

10. Activity Slide from Dr Anna Kenway Theme 3: Adoption of e-Research Technologies Theme 4: Spatial Semantics for Automating Geographic Information Processes Theme 5: Distributed Programming Abstractions Theme 6: e-Science in the Arts and Humanities

11. Edinburgh Cardiff Bristol Lancaster Westminster National Grid Service and partners Edinburgh York Manchester Didcot CCLRC Rutherford Appleton Laboratory CCLRC Rutherford Appleton Laboratory Leeds Sheffield

12. Slide: Neil Geddes

13. GridPP GridPP www.gridpp.ac.uk LHCb ATLAS CMS

14. e-Science Centres in the UK Leicester LeSC Birmingham White Rose Grid Bristol Lancaster Reading Oxford Edinburgh Belfast Cambridge CCLRC Daresbury Manchester UCL Newcastle Southampton Cardiff CCLRC RAL Access Grid Support Centre Access Grid Support Centre Digital Curation Centre National Grid Service National Grid Service National Centre for e-Social Science National Centre for e-Social Science National Centre for Text Mining National Centre for Text Mining National Institute for Environmental e-Science National Institute for Environmental e-Science Open Middleware Infrastructure Institute Open Middleware Infrastructure Institute Glasgow York Leeds Sheffield Coordinated by: Directors’ Forum & NeSC

15. OMII-UK nodes Edinburgh EPCC & National e-Science Centre Manchester School of Computer Science University of Manchester School of Computer Science University of Manchester Southampton School of Electronics and Computer Science University of Southampton School of Electronics and Computer Science University of Southampton

16. OMII-UK Software Software catalogue Software repository Special Product Lines Community deposits SE QA pipeline Community software stacks Commissioned programme Software spotted on safari or by Product or Area Liaisons (PALs) Data Workflow Portal Service registry Infrastructure and Standards Community User Community Foreign Distributions Open Source OMII-BPEL

17. Digital Curation Centre and partners Glasgow Humanities Advanced Technology and Information Institute Bath UKOLN (formerly UK Office for Library Networking) Warrington Didcot Rutherford Appleton (Didcot) and Daresbury (Warrington) Laboratories Edinburgh Database Research Group, School of Informatics AHRC Research Centre for Studies in Intellectual Property and Technology Law EDINA National e-Science Centre Database Research Group, School of Informatics AHRC Research Centre for Studies in Intellectual Property and Technology Law EDINA National e-Science Centre

18. National Centre for e-Social Science Colchester University of Essex Lancaster Bristol Leeds University of Manchester Manchester Nottingham London Oxford Aberdeen

19. The NERC Success Professor Robert Gurney Director, Environmental Systems Science Centre, Reading The NERC e-Science experience 11 papers in Nature Enthusiastic uptake of ensemble methods

20. climateprediction.net Users Worldwide >300,000 users total (90% MS Windows): >60,000 active ~17 million model-years simulated (as of September '06) ~180,000 completed simulations The world's largest climate modelling supercomputer! (NB: a black dot is one or more computers running climateprediction.net ) Slide: Robert Gurney Impact: New Science Understanding of science Engaging schools BBC follow on

21. 6th September 200621 NERC centres Swindon Reading University of Reading Cambridge National Institute for Environmental e-Science, University of Cambridge National Institute for Environmental e-Science, University of Cambridge

22. David De Roure

23. Slide: Dave De Roure & Jeremy Frey

24. 6th September 200624 Patient Home-mobile-clinic via TV-PDA-laptop-PC-Paper Diabetes Specialist / Other Specialist Nurses Home-mobile-clinic via TV-PDA-laptop-PC-Paper Dietitian Diabetician Home-mobile-clinic via PDA-laptop-PC-Paper Biochemist GP Home-mobile-clinic via PDA-laptop-PC-Paper Various Clinical Specialists (Distributed) e.g. Ophthalmologist, Podiatrist, Vascular Surgeons, Renal Specialists, Wound clinic, Foot care clinic, Neurologists, Cardiologists ILLNESS REFERRAL CASE Community Nurses / Health Visitors VARIABLES ACCESS MATRIX Healthcare @ Home “Wellbeing” the global-scale killer app., Sir Robin Saxby Oct. 2006

25. 6th September 200625 resolving the ‘neural code’ from the timing of action potential activity determining ion channel contribution to the timing of action potentials examining integration within networks of differing dimensions Understanding the brain may be the greatest informatics challenge of the 21 st century Source: Colin Ingram New EPSRC project. CARMEN late 2006 - 2009 http://bioinf.ncl.ac.uk/carmen/

26. FireGrid PiperAlpha Mont Blanc Kobe Kings Cross WTC

27. Logging FireGrid Architecture Routine & Initial Workflows sensor validation & calibration, building and people status & event detection Building dataPre-computed scenarios Escalated Workflows From PCs to teraflops Displays from sensors and simulations C&C View selected status displays & user control panels Personal & Team Preference data 5 People A C D E B A C D E B A C D E B Sensors & Actuators Temp, CO, smoke, displacement/strain, vibration/acoustic, systems status Primary monitoring & gateways between sensor nets & grid Workflow selection & steering Data-flow selection & actuation

28. 6th September 200628 WISDOM deployment : wisdom.eu-egee.fr Total amount of CPU provided by EGEE federation Countries with nodes contributing to the data challenge WISDOM 10UK1Poland1Germany 1Taiwan2Netherlands9France 7Spain13Italy1Cyprus 2Russia1Israel1Croatia 1Romania3Greece3Bulgaria sitescountrysitescountrysitescountry

29. 6th September 200629 DAME/BROADEN http://www.cs.york.ac.uk/dame/ Aims to manage >1Tb per year of Aero Engine vibration and maintenance data. Interlinks with search and reasoning services. Defined and evaluated a distributed search system. GSI enabled secure engine performance simulation CBR advisor for diagnostic engineer A data architecture defined based on Globus and SRB. BROADEN DTI Project ( £ 3.9M) Spun out technology exploited through Cybula Ltd., Oxford Biosignals and DS&S. Successful mid-term demonstrator well received by Rolls Royce White Rose Grid: experience of building & using production Grids In Grid Blue Print 2 edition 2 Jim Austin (Comp Sci, York) 4 Universities and institutes 3 Companies Aircraft healthcare diagnosis Slide: Carole Goble, Jim Fleming & Jim Austin

30. Take Home UK e-Science investment has built three interdependent strengths: Communities & collaboration Projects delivering & demanding e-Infrastructure: organisation, support & technology Three success factors for projects Engagement & value for all participants Creativity & insight addressing a well-posed challenge Technology adoption and innovation Progress in research domains is the driver Integrate whatever technology you need Invent new technology only if you have to