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Grand Challenge Communities

Grand Challenge Communities. Edward Seidel Assistant Director, Mathematical and Physical Sciences, NSF. GridLab Scenario c 2000. This scenario still focuses on a user, but in a global context…. Community Einstein Toolkit.

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Grand Challenge Communities

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  1. Grand Challenge Communities Edward Seidel Assistant Director, Mathematical and Physical Sciences, NSF

  2. GridLab Scenario c 2000 This scenario still focuses on a user, but in a global context…

  3. Community Einstein Toolkit Many groups can do this: field explodes! Major triumph of Computational Science---solve EEs! “Einstein Toolkit : open software for astrophysics to enable new science, facilitate interdisciplinary research and use emerging petascale computers and advanced CI.” • Consortium: 67 members, 29 sites, 11 countries • Simulation credits: Luciano Rezzolla, Max Planck InstitutfürGravitationsphysik (Albert-Einstein-Institut) Community + software + algorithms + hardware + …

  4. Going Beyond a CommunityTransient & Data-intensive Astronomy Will require integration across disciplines, end-to-end • Astronomy 1500-2010 was passive. No longer! • New era: seeing events as they occur • (Almost) here now • ALMA, EVLA in radio • Ice Cube neutrinos • On horizon • 24-42m optical? • LIGO south? • LSST = SDSS (40TB) every night! • SKA = exabytes • Simulations integrate all physics Communities need to share data, software, knowledge, in real time ?

  5. Grand Challenge Communities Combine it All...Where is it going to go? Same CI useful for black holes, hurricanes 6

  6. Grand Challenge Communities for Complex Problems • Require many disciplines, all scales of collaborations • Individuals, groups, teams, communities • MultiscaleCollaborations: Beyond teams • Are dynamic and highly multidisciplinary • Time domain astronomy, emergency forecasting, metagenomincs, materials genome… • Drive sharing technologies and methodologies • Researchers collaborate, work by sharing data. Places requirements on: • Software, networks, collaborative environments, data, sharing, computing, etc • Scientific culture, reproducibility, access, university structures • “Publications.” What is a modern publication? Social, behavioral and economic sciences will be critical in helping us understand these issues… 7

  7. Scenarios like this in all fields

  8. Fundamental points on data and publication policy What data must be made available? Raw data? Peer reviewed? When is it available? 6 months? 1 year? After publication? How long is it made available? How do we enforce/serve it post-award? • Communities work together/advance through sharing of data, pubs & software (which is data) • Publicly funded scientific data and publications should be available, and science benefits • There has to be a place to keep data, and a way to access it • There needs to be an affordable, sustainable cost model for this Who pays? Agency? The Institution? What is the cost model? What is reasonable? Where is it placed? Author web site? Library? NCSA? EU repository? There is great variability in requirements across science communities: app driven concept building, prototyping & peer review can help guide this process. 9

  9. Final Thoughts • We already have some idea how to do supercomputing and distributed computing… • But we have not even got basic things working…(eg, how to integrate campus to national facilities) • We have less idea how to develop software in a global context… • And funding agencies have never really taken it seriously before… • Everything is moving to data, and we basically have very no (or little) idea how to do data-intensive science… • Algorithms, data services, curation, policy, access, trust relationships, …

  10. The Opportunity • You have two major funders coming to you saying “help us help you” • We want to catalyze a multitude of coordinated ground up approaches to data and software, in ways that are sustainable…It is clear that… • One size will not fit all.. • We need to get application communities organized to drive new approaches…you have to be there to help • We are also committed to much more significant investments to build out persistent infrastructure • But don’t yet know how to do that, so need to build up I don’t want to leave today until we have some concrete ideas on how to move forward!

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