National Science Foundation nsf
description
Transcript of National Science Foundation nsf
National Science
Foundationhttp://www.nsf.gov
Maria Zemankova, Ph.D. [email protected] DirectorInformation & Knowledge ManagementInformation & Intelligent Systems DivisionComputer & Information Science & Engineering Directoratehttp://www.cise.nsf.gov/iis703-292-8930
NSF IN A NUTSHELL
• Independent Agency
• Supports basic research & education
• Uses grant mechanism
• Low overhead; effective use of IT
• Discipline-based structure
• Cross-disciplinary mechanisms
• Use of Rotators/IPAs
• National Science Board
Inspector General(OIG)
National Science Board(NSB)
Staff Offices
Social, Behavioral & Economic Sciences
(SBE)
Social, Behavioral & Economic Sciences
(SBE)
Budget, Finance & Award
Management(BFA)
Budget, Finance & Award
Management(BFA)
Information Resource
Management(IRM)
Information Resource
Management(IRM)
NATIONAL SCIENCE FOUNDATION
Director Deputy Director
(OD)
Engineering(ENG)
Geosciences(GEO)
Mathematical & Physical Sciences
(MPS)
Education & Human Resources
(EHR)
Biological Sciences
(BIO)
Computer & Information
Science & Eng (CISE)
OTHER NSF OFFICES
• EPSCoR
• Integrative Affairs
• International S&E
• Polar Programs
• SBIR/STTR
• New: Office of Cyber Infrastructure
• Legislative & Public Affairs (OLPA)
• General Counsel
• Equal Opportunity
• Overseas (Paris/Tokyo)
NSF PROPOSALSUBMISSION ELIGIBILITY*
• U.S. Universities and Colleges
• U.S. Nonprofit, Nonacademic Organizations
• U.S. For-Profit Organizations
• State/Local Educational Organizations
• Unaffiliated U.S. Scientists, Engineers, Educators, & Citizens
• NSF Rarely Supports Foreign Organizations or Other Federal Agencies
* Program Solicitations may establish more restrictive eligibility
NSF STRATEGIC INVESTMENT GOALS
• People - Developing “a diverse, internationally competitive and globally engaged workforce of scientists, engineers, and well-prepared citizens.”
• Ideas - Enabling “discoveries across the frontier of science and engineering, connected to learning, innovation, and service to society.”
• Tools - Providing “broadly accessible, state-of-the-art shared research and education tools.”
=> Nuggets! ----------------------------------------------------------------
• Organizational Excellence – Operating an agile, innovative organization with leadership and sound business practices
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rsAPPROPRIATIONS FOR NFS
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9.4%
Flat7.9%
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NSF PROPOSAL STATISTICS(FY 2005)
• 41,751 proposal actions• ~254,000 reviews • ~58,000 reviewers• 9,784 awards • 23.0% funding rate
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COMPARISON OF NSF BUDGET, STAFF, AND
COMPETITIVE PROPOSAL SUBMISSION
Research Grant Proposals by PI Type
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Proposals - Prior PI 11,203 11,635 12,026 11,693 12,172 12,885 14,013 14,965 16,944 18,700
Proposals - New PI 7,446 8,013 7,910 7,526 7,951 8,561 9,084 10,286 11,752 12,941
Funding Rate - Prior PI 36% 34% 36% 36% 36% 36% 32% 32% 29% 25%
Funding Rate - New PI 19% 17% 20% 21% 20% 22% 19% 19% 16% 14%
1995 1996 1997 1998 1999 2000 2001 2002 2003 2004
NSF SHARE OF TOTAL FEDERAL SUPPORT FOR BASIC RESEARCH
AT ACADEMIC INSTITUTIONS
Computer sciences
Mathematics
Environmental sciences
Engineering
Physical sciences
Biological sciences (non-medical)
Psychology
Medical sciences
Social sciences
Where is Knowledge Mapping at NSF?
• Everywhere!!!• Or nowhere?• Use
– OLPA: S & E Visualization Challengehttp://www.nsf.gov/news/special_reports/scivis/
– Science and Engineering Statistics S&E Indicators 2006http://www.nsf.gov/statistics/seind06/
– Potential use across NSF• Funding Opportunities
– CISE, ENG, EHR, OCI, SBE, BIO, GEO, MPS– IGERT, CAREER, GOALI, SBIR, …– SGERs, workshops, REUs, RETs, …
Potential Use• Help to understand and balance the portfolio of
funded research• See the changes of supported areas over time
– Formation of new areas– Impacts of initiatives
• See the impact of funded research– Numbers and impact of publications (citations)– Numbers of patents– Formation of new research communities
• Planning: discover relationships and areas of promising research
• Help program directors better manage proposal review and award recommendations
Funding Opportunities:Everywhere
How to Find Them?
CISE Mission
• CISE has three goals:– Promote understanding of the principles and
uses of advanced computing, communications, and information systems in service to society;
– Contribute to universal, transparent, and affordable participation in an information-based society; and
– Enable the United States to remain competitive in computing, communications, and information science and engineering.
Computer & Information Science & Engineering (CISE): Current
Organization
Crosscutting EmphasisCrosscutting Emphasis Areas:Areas:Cyber Trust, Science of Design,Cyber Trust, Science of Design, Broadening ParticipationBroadening Participation
Computing and
Communication
Foundations
(CCF)
Computer and
Network
Systems
(CNS)
Information and
Intelligent
Systems
(IIS)
Office
of the
Assistant
Director
Computing andCommunication Foundations
Division (CCF)• Theoretical Foundations
– Computer science theory; numerical computing; computational algebra and geometry; signal processing and communication
• Foundations of Computing Processes and Artifacts– Software engineering; software tools for HPC; programming
languages; compilers; computer architecture; graphics and visualization
• Emerging Models and Technologies for Computation– Computational biology; quantum computing; nano-scale
computing; biologically inspired computing
Computer and Network Systems Division (CNS)
• Computer Systems– Distributed systems; embedded and hybrid systems; next-
generation software; parallel systems
• Network Systems– Networking research broadly defined plus focus areas
• Computing Research Infrastructure– Equipment and infrastructure to advance
computing research• Education and Workforce
– IT workforce; special projects; cross-directorate activities (e.g., REU sites, IGERT, ADVANCE)
Information and Intelligent Systems Division (IIS): New Clusters
• Informatics and Information Integration– BioInformatics, GeoInformatics …– Databases, Information & Knowledge Management – Digital Gov’t– Digital Libraries
• Robust Intelligence– Artificial intelligence– Machine vision– Robotics– Speech and language (using computers)
• Human Centered Computing– Human computer interaction– Educational technology– Computer-supported cooperative work– Impact of IT on business, governance, social environment
GENI Initiative: Global Environment for Networking Investigations
• The GENI Initiative envisions the creation of new networking and distributed system architectures, e.g.:– Build in security and robustness;– Enable the vision of pervasive computing and bridge the
gap between the physical and virtual worlds by including mobile, wireless and sensor networks;
– Enable control and management of other critical infrastructures;
– Include ease of operation and usability; and– Enable new classes of societal-level services and
applications.
See: www.nsf.gov/cise/geni
Office of Cyberinfrastructure: Vision• “Atkins report” - Blue-
ribbon panel, chaired by Daniel E. Atkins
• Called for a national-level, integrated system of hardware, software, & data resources and services
• New infrastructure to enable new paradigms of science & engineering research and education with increased efficiencywww. nsf.gov/od/oci/reports/toc.jsp
“Borromean Ring*” teams needed for Cyberinfrastructure Success
*Three symmetric, interlocking rings, no two of which are interlinked. Removing one destroys the synergy.
Disciplinary,multi-disciplinaryresearch communities
People & Society
Social & Behavioral Sciences
Computer & Information, Science& Engineering
Iterative, participatory design; collateral learning.
Atkins- Symposium on KES: Past, Present and Future
NSF’s Cyberinfrastructure Vision(FY 2006 – 2010)
To Be Completed in Summer 2006
• Ch. 1 : Call to ActionCh. 1 : Call to Action
Visions for:Visions for:
• Ch. 2 : High Performance Ch. 2 : High Performance ComputingComputing
• Ch. 3 : Data, Ch. 3 : Data, Data Analysis Data Analysis & Visualizaton& Visualizaton
• Ch. 4 : Collaboratories, Ch. 4 : Collaboratories, Observatories and Virtual Observatories and Virtual OrganizationsOrganizations
• Ch. 5 : Learning and Ch. 5 : Learning and Workforce DevelopmentWorkforce Development
http://www.nsf.gov/od/oci/ci_v5.pdf
New CI-TEAM Solicitation New CI-TEAM Solicitation Due June 5, 2006Due June 5, 2006
Aims to prepare science and engineering workforce with knowledge and skills needed to create, advance and use cyberinfrastructure for discovery, learning and innovation across and within all areas of science and engineering.
Exploits the power of Cyberinfrastructure to cross digital, disciplinary, institutional, and geographic divides and fosters inclusion of diverse groups of people and organizations, with particular emphasis on traditionally underrepresented groups.
Focus on workforce development activities; <50% tool development.
FY06 program funds ~ $10 M for two types of awards:
Demonstration Projects ≤ $250,000
Implementation Projects ≤ $1,000,000 (expected to deliver sustainable learning and workforce development activities that complement ongoing NSF investment in cyberinfrastructure).
CISE & ENG/Nanotechnology: Co-Funding
IIS-0311628 Hsinchun Chen, University of Arizona http://ai.eller.arizona.edu
SGER: Intelligent Patent Analysis and Visualization Z. Huang, H. Chen, Z.-K. Chen and M. C. Roco, "International
Nanotechnology Development in 2003: Country, Institution, and Technology Field Analysis Based on USPTO Patent Database“, Journal of Nanoparticale Research (JNR), 6(4), 325-354, (2004):
http://uaeller.eller.arizona.edu/%7Ezhuang/Zan/papers/international.jnr.pdf
Hsinchun Chen, University of ArizonaSGER: Intelligent Patent Analysis and Visualization
NSE Grant/Patent Topic AssociationNSE Grant/Patent Topic Association
Grant-patent topic linkages patterns
Pattern I (circled): A grant topic followed by several associated patent topics in later time periods. It may indicate that new research interest invokes industry
efforts.
SBE & NSF: Human & Social Dynamics(Fourth Year)
Fiscal Year 2006 areas of emphasis: • Agents of change – focusing on large-scale changes in
humanity and society in areas such as industrial globalization and disease epidemics, and how we influence technological change
• Dynamics of human behavior – applying state-of-the-art methods and cross-disciplinary approaches to better understand the dynamics that influence human behavior and action
• Decision-making and risk – improving decision-making in an uncertain world by studying risk perception and response to stimuli such as hazards and extreme events and the role of educational systems in that response
SBE
• Geography and Regional Studies– Collaboration with IIS/IKM and SEIII
• Cognitive Science
• Antropology, …
Education and Human Resources (EHR) Some Example Projects (selected from 50+)
Data Visualization: An Interdisciplinary Approach to Reducing the Cognitive Load when Extracting Meaning from Large Data Sets (Undergraduate)
Development of Quantitative Geography Curriculum Based on Numeric Visualization (Undergraduate)
Visualization in Science and Education (workshop)
Windows on Earth (Informal Science)
Seeing and Understanding: Gordon Conference, Workshops, and Mini-Grants to Guide Visualization Research in Science and Education (Research on Learning)
Visualizing Statistical Relationships (Research on Learning)-------------------------------------------------------------------------------------------------------------------------------------------------------------
Advanced Learning Technologies (ATL): deadline 05/04/06
International Polar YearMarks the 50th anniversary of
the International Geophysical Year (1957-58)
Fiscal 2007 areas of emphasis:
Study of Environmental Arctic Change
Polar Ice Sheet Dynamics and Stability
Life in the Cold and Dark
NSF Web Site: NSF Web Site: http://www.nsf.govFunding Opportunities Calendar at NSFFunding Opportunities Calendar at NSFGuide to Programs/Browsing of Funding OpportunitiesGuide to Programs/Browsing of Funding Opportunities Funding Search Engine by keywords Funding Search Engine by keywords (can the results be (can the results be visualized???)visualized???)Upcoming Due datesUpcoming Due datesCustom e-mail for your interests: Custom e-mail for your interests: http://www.nsf.gov/mynsf/
Awards: Search award abstracts for keywords and Awards: Search award abstracts for keywords and find where at NSF the topic is funded and who is doing find where at NSF the topic is funded and who is doing the research the research (can the results be visualized???)(can the results be visualized???)
Keeping Aware:Keeping Aware:
Resources at your DisposalResources at your Disposal
Additional Pointers• From: Kostoff, Ronald (Office of Naval Research)Sent: 3/26/2005 8:03 AMSUBJECT: ACCELERATING RADICAL DISCOVERY AND INNOVATION
New of approaches for systematically identifying and accelerating potentially radical discovery and innovation in science and technology. This systematic capability is applicable to all phases of the science and technology development cycle (planning, investment/ selection, execution, review, publication/ dissemination, transition). It should be of interest to research managers, performers, administrators, investors, and journal editors who might benefit strongly from using such a systematicdiscovery and innovation approach in their work.http://www.onr.navy.mil/sci_tech/special/354/technowatch/textmine.asp
• DOE Information Vizualization
• NIH/NSF Information Vizualization: Future Challenges
Post Script
"Worldwide Scientific Publishing Activity“
"Worldwide Scientific Publishing Activity“CAROLINA PEREZ-IRATXETA 1,2
MIGUEL A. ANDRADE 1,2
1 European Molecular Biology Laboratory, Heidelberg, Germany 2 Max-Delbrück-Centrum für Molekulare Medizin, Berlin, GermanyScience, 26 July 2002, p. 519
Analysis of MEDLINE articles as an indicator of world's wealth.
Assumption:publishing activity in peer-reviewed journals is correlated to scientific activity=> amount of papers published by individuals of a nation (divided by its total population) can be taken as an indicator of that nation's wealth
(A) Approximate amount of publications for the years 1996–2001 per million inhabitants by country
10,000 1001,000
110 No data
(B) Ratio of the number of publications for 1996–2001 to the number of publications for 1989–95
Stable trend
Negative trend No data
Positive trend
Mental Diseases Prevalence
Most Least
Knowledge Mapping:validation?
• Understandability
• Conclusions
• …