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Oct 2007 Office of CyberInfrastructure/Muñoz 1 O C I SACNAS 2007 Cyberinfrastructure: Changing the Face of Science and Engineering José L. Muñoz, Ph.D. Deputy Director/Senior Science Advisor National Science Foundation Office of Cyberinfrastructure [email protected] Faces

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Page 1: Oct 2007Office of CyberInfrastructure/Muñoz OC I 1 SACNAS 2007 Cyberinfrastructure: Changing the Face of Science and Engineering José L. Muñoz, Ph.D. Deputy

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SACNAS 2007 Cyberinfrastructure:

Changing the Face ofScience and Engineering

José L. Muñoz, Ph.D.

Deputy Director/Senior Science Advisor National Science

Foundation Office of Cyberinfrastructure

[email protected]

Faces

Page 2: Oct 2007Office of CyberInfrastructure/Muñoz OC I 1 SACNAS 2007 Cyberinfrastructure: Changing the Face of Science and Engineering José L. Muñoz, Ph.D. Deputy

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A Little Light Reading

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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ICyberinfrastructure Vision

for the 21st Century

http://www.nsf.gov/od/oci/CI_Vision_March07.pdf

“At the heart of the cyberinfrastructure visionis the development of a cultural community thatsupports peer-to-peer collaboration and new modesof education based upon broad and open access toleadership computing; data and information resources; online instruments and observatories; and visualization and collaboration services.

Cyberinfrastructure enables distributed knowledge communities that collaborate and communicate across disciplines, distances and cultures. These research and education communities extend beyond traditional brick-and-mortar facilities, becoming virtual organizations that transcend geographic and institutional boundaries. This vision is new, exciting and bold.”

Dr. A. Bement, NSF Director

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Elements of Cyberinfrastructure

VirtualVirtualOrganizationsOrganizations

HighHighPerformancePerformanceComputingComputing

LearningLearning& Workforce& WorkforceDevelopmentDevelopment

DataData

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ICyberInfrastructure is about Connectedness

betweenIdeas People

Systems Orgs

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Some Science Drivers

Inherent complexity and multi-scale nature of todays frontier science challenges.

Requirement for multi-disciplinary, multi-investigator, multi-institutional approach (often international).

High data intensity from simulations, digital instruments, sensor nets, observatories.

Increased value of data and demand for data curation & preservation of access.

Exploiting infrastructure sharing to achieve better stewardship of research funding.

Strategic need for engaging more students in high quality, authentic science and engineering education.

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IDualitiesresearch & research & developmendevelopmentt

cyberinfrastructucyberinfrastructurere

cyberinfrastructucyberinfrastructurere

collaborationcollaborationcollaborationcollaborationCI CI environmentenvironmentss

learning | learning | educationeducationlearning | learning | educationeducation

enablesCI is both an object and means for

R&D

enables

CI CI environmentenvironmentss

enables

Multi-stakeholder collaboration required to create, provision, and apply CI; CI supports collaborations across time and distance (geographic, disciplinary, institutional)

Learning and workforce development initiatives required to create and use CI; CI enables/enhances learning/education

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High High PerformancPerformanc

e e ComputingComputing

High High PerformancPerformanc

e e ComputingComputing

Life

Satellite tobacco mosaic virus, P. Freddolino et al.

Aldehyde dehydrogenase, T. Wymore and S. Brown

Matter

I. Shipsey

The Environment Society

John Q Public

S.-Y. Kim, M. Lodge, C. Taber.

increasingly important tool for understanding

Track 1: One solicitation funded

over 4 years: $200M acquisition +

additional O&M cost.Track 2: Four

solicitations over 4 years: $30M/yr

acquisition + additional O&M cost. First track 1

approved 8-07

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Data, Data Data, Data Analysis & Analysis & VisualizatiVisualizati

onon

Data, Data Data, Data Analysis & Analysis & VisualizatiVisualizati

onon

• Challenges: increased scale, heterogeneity, and re-use value of digital scientific information and data. Inadequate digital preservation strategy of long-lived data.

• Taking initial steps to catalyze the development of a federated, global system of science and engineering data collections that is open, extensible, evolvable, (and appropriately curated and long-lived.)

• Complemented by a new generation of tools and services to facilitate data mining, integration, analysis, visualization essential to transforming data into knowledge.

• NSF Leadership for OSTP/Interagency Working Group on Digital Data

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New Report: To Stand the Test of Time

Available online at http://www.arl.org/info/events/digdatarpt.pdf

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Virtual Virtual OrganizatioOrganizatio

nsns

Virtual Virtual OrganizatioOrganizatio

nsns

NanoHubNEES

ATLAS

NVO

LEAD

iVDgL

CMS

• To catalyze the development, implementation and evolution of a national cyberinfrastructure that integrates both physical and cyberinfrastructure assets and services.

• To promote and support the establishment of world-class VOs that are secure, efficient, reliable, accessible, usable, pervasive, persistent and interoperable, and that are able to exploit the full range of research and education tools available at any given time

• To support the development of common cyberinfrastructure resources, services, and tools that enable the effective, efficient creation and operation of end-to-end cyberinfrastructure systems for and across all science and engineering fields, nationally and internationally.

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P: people, I: information, F: facilities, instruments

ST-SPST-SPPP: Physical mtgs: Physical mtgsII: Print-on-paper : Print-on-paper books, journalsbooks, journalsFF: Physical labs, : Physical labs, studios, shopsstudios, shops

DT-SPDT-SPPP: Shared : Shared notebooknotebookII: Library : Library reservesreservesFF: Time-shared : Time-shared physical labs, ...physical labs, ...

DT-SPDT-SPPP: Shared : Shared notebooknotebookII: Library : Library reservesreservesFF: Time-shared : Time-shared physical labs, ...physical labs, ...

ST-DPST-DPPP: AV : AV conferenceconferenceII: Web search: Web searchFF: Online : Online instrumentsinstruments

ST-DPST-DPPP: AV : AV conferenceconferenceII: Web search: Web searchFF: Online : Online instrumentsinstruments

DT-DPDT-DPPP: Email: EmailII: Knowbots: KnowbotsFF: Autonomous : Autonomous observatoriesobservatories

DT-DPDT-DPPP: Email: EmailII: Knowbots: KnowbotsFF: Autonomous : Autonomous observatoriesobservatories

TimeSame

(synchronous)Different

(asynchronous)G

eog

rap

hi

c P

lace Sam

eD

iffere

nt

Virtual Organizations offer additional modes of interaction between People, Information, and

Facilities

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Analysis/Assimilation

Quality ControlRetrieval of Unobserved

QuantitiesCreation of Gridded Fields

Prediction/Detection

PCs to Teraflop Systems

Product Generation, Display,

Dissemination

End Users

NWSPrivate Companies

Students

The LEAD Vision: Adaptive Cyberinfrastructure

DYNAMIC OBSERVATIONS

Models and Algorithms Driving Sensors

The CS challenge: Build cyberinfrastructure services that provide The CS challenge: Build cyberinfrastructure services that provide adaptability, scalability, availability, useability, and real-time adaptability, scalability, availability, useability, and real-time response. response.

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INanohub - nanotechnology

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QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

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VO-substrate: International R&E Networking

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The CI-TEAM program supports projects that position the national science and engineering community to engage in integrated research and education activities that promote, leverage, and optimize cyberinfrastructure technologies, tools, and services. CI-TEAM awards will:

– Prepare current and future generations of scientists, engineers, and educators to use, support, deploy, develop and design cyber-augmented research and learning environments, both formal and informal;

– Establish collaborative teams representing the expertise of at least one disciplinary domain with that of computer/information sciences and education or social sciences in order to inform CI-TEAM activities from an appropriately interdisciplinary knowledge base; and,

– Expand participation in cyberinfrastructure activities of diverse groups of people and organizations, with particular emphasis on partnerships with traditionally underserved groups, communities, and institutions as bother creators and users of CI.

CI-TEAM

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Conduct of science and engineering has been revolutionized by – the infusion of computational science and simulation in the traditional

experimentation-observation-analysis-theory loop, and– by eliminating the geographic constraints for collaboration and

experimentation. Primary CDI Themes

– Knowledge Extraction– Complex Interactions– Computational Experimentation– Virtual Environments– Educating Researchers and Students in

Computational Discovery

Cyber-enabled Discovery and Innovation NSF Priority Area (FY 2008 – 2012)

Cyber-enabled Discovery and Innovation (CDI) will broaden the Nation’s capability for innovation by developing a new generation of

computationally based discovery concepts and tools to deal with complex, data-rich, and interacting systems.

Cyber-enabled Discovery and Innovation (CDI) will broaden the Nation’s capability for innovation by developing a new generation of

computationally based discovery concepts and tools to deal with complex, data-rich, and interacting systems.

Courtesy of Deshmukh/OCI

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Learning & Learning & Workforce Workforce DevelopmeDevelopme

ntnt

Learning & Learning & Workforce Workforce DevelopmeDevelopme

ntnt

• Learning supported by CI. (cyber-enabled learning).

• Workforce development to create and use CI for S&E research and education.

• Broadened participation: Exploit the new opportunities that cyberinfrastructure brings for … people who, because of physical capabilities, location, or history, have been excluded from the frontiers of scientific and engineering research and education.

• Explore CI support for integrated research and education.

• Effective, Transferable, Sustainable, Scalable

CyberBridgesMARIACHI

EPIC

BIOINFORMATICS CI INSTITUTE

MARIACHI

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Design and develop authentic, inquiry-based cyberlearning opportunities through the creation of immersive virtual environments that integrate “real” research experiences.

Support development of and research on mobile devices as delivery mechanisms for innovative learning practices.

Instrument sensor networks that enable collection and analysis of first-time data pertaining to learning at both individual and organizational levels, which could revolutionize our understanding of human cognition and meta-cognition, action and interaction, and production and innovation for the development of a 21st c workforce.

The Next Frontier for Learning and Workforce Development

Courtesy of D. Rhoten/OCI

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PCAST 2007Priority Areas

NIT systems connected with the physical world

Software

Data, Data Stores and Data Streams

Networking

High-End Computing

Cyber-security and Information Assurance

Human-Computer Interaction

NIT and the Social Sciences

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OCI Website - Visit often and provide feedback on the

Vision document.

http://www.nsf.gov/pubs/2007/nsf0728/index.jsp

www.nsf.gov/oci/

Seeking more program officers.Solicitations Posted Here

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CyberInfrastructure:The Tide that Raises All Boats

CyberInfrastructureCyberInfrastructureHPC

DATA

LWD

VO CI