Presentation on theme: "Funding Opportunities at NSF"— Presentation transcript:
1 Funding Opportunities at NSF Almadena ChtchelkanovaProgram DirectorComputing & Information Science & Engineering (CISE) DirectorateComputation and Communication Foundations (CCF) DivisionComputing Processes and Artifacts (CPA) Cluster
2 National Science Foundation Office of Cyber Infrastructure
3 CISE Mission CISE has three goals: to enable the United States to remain competitive in computing, communications, and information science and engineeringto promote understanding of the principles and uses of advanced computing, communications, and information systems in service to societyto contribute to universal, transparent, and affordable participation in an information-based societyCISE provides > 85% of all Federal support for computer science research
5 Computing and Communication Foundations Division (CCF) Emerging Models and Technologies for Computation (EMT)Computational biology; quantum computing; nano-scale computing; biologically inspired computingFoundations of Computing Processes and Artifacts (CPA)Software engineering; software tools for HPC; languages; compilers; computer architecture; design automation & VLSI; graphics & visualizationTheoretical Foundations (TF)Computer science theory; numerical computing; computational algebra and geometry; signal processing and communication
6 Computer and Network Systems Division (CNS) Computer SystemsDistributed systems; embedded and hybrid systems; next-generation software; parallel systemsNetwork SystemsNetworking research broadly defined plus focus areasComputing Research InfrastructureEquipment and infrastructure to advance computing researchEducation and WorkforceIT workforce; special projects; cross-directorate activities (e.g., REU sites, IGERT, ADVANCE)
7 Information and Intelligent Systems Division (IIS) Human-Centered ComputingThe study of unprecedented IT and their interface to humans: grid computing, wearable computing, agent technologies, multi-player games, multi-modal interfaces, affective computing, e-commerceInformation Integration and InformaticsDigital GovernmentDigital Libraries and ArchivesInformation, Data, and Knowledge ManagementScience and Engineering Information Integration and InformaticsRobust IntelligenceComputational understanding and modeling of the many human and animal capabilities that demonstrate intelligence and adaptability in unstructured and uncertain environments
8 NSF & CISE Budget in $M FY’05 to FY’07 (Requested) CISE DivisionsFY’05FY’06FY’07CNS$132.39$ (+7%)$ (+15%)CCF$91.41$ (+15%)$ (+16%)IIS$92.54$ (+12%)$ (+15%)ITR (not a division)$173.78$ (-16%)$ (-16%)CISE Total (Research)$490.12$ (+1%)$ (+6%)NSF Total$5,745$5,605 (-2.4%)$6,020 (+7.4%)
9 CISE Budget 2003 – 2007 Dollars in Millions Fiscal Year 600 550 500 450400Dollars in Millions3503002502001501005020032004200520062007Fiscal Year
10 Competitive Awards in CISE Funding Rate forCompetitive Awards in CISE7,000100%90%6,00080%5,00070%PNeu60%4,000rm50%cb3,000ee40%nr2,00030%t20%1,00010%0%1996199719981999200020012002200320042005Competitive Proposal ActionsCompetitive AwardsFunding Rate
11 CCF Budget 2003 – 2007 Dollars in Millions Fiscal Year 120 110 100 90 80Dollars in Millions7060504030201020032004200520062007Fiscal Year
12 Competitive Awards in CCF Funding Rate forCompetitive Awards in CCF2,000100%1,80090%1,60080%1,40070%PNeu1,20060%rm1,00050%cbee80040%nr60030%t40020%20010%0%1996199719981999200020012002200320042005Competitive Proposal ActionsCompetitive AwardsFunding Rate
14 Foundations of Computing Processes and Artifacts (CPA) The CPA Cluster supports basic research and education projects aimed at advancing formalisms and methods pertaining to processes and artifacts for designing and building computing and communication systemsProcesses and artifacts range from formalisms, models, algorithms, theories, design principles and languages to hardware/software architectures, technology components and varieties of physical manifestations of implementationsThe CPA cluster funds a diverse portfolio of high-quality, high-payoff foundational research to meet the needs of the scientific and engineering community as well as society at large
15 Current CPA focus areas and Program Directors Foundations of Computing Processes and Artifacts (CPA)Current CPA focus areas and Program DirectorsACRAdvanced Computation Research(Algorithms, Storage, I/O, HPC)Almadena Chtchelkanova (since 2005)CHSCompilers and High-performance SoftwareCSAComputer System ArchitectureTimothy M. Pinkston (since 2006)DADesign Automation for Micro & Nano Systems (VLSI)Sankar Basu (since 2003)GVGraphics & VisualizationLawrence Rosenblum (since 2005)SELSoftware Engineering & LanguagesSol Greenspan (since 2003)Joseph Urban (since 2006)Each sub-area can have topics of specific interest, but clustering promotes cross-disciplinary research that may transcend programmatic/sub-area boundaries
16 CPA Proposal Solicitation 2005 CPA competition~ 80 awards from ~ 530 proposals received (~ 15% success rate)~ $30,000,000 total funds, for average of $125,000 over all awards2006 CPA SolicitationProposal due date: October 10, 2006, 5pm local timeseeAnticipated funding, number, and size of awards:$44,000,000 max. anticipated funds (could be much less)80 to 120 awards, averaging $125,000/year for 3 yearsup to 5 awards of up to $500,000/year for 3 years for well-integrated projects of larger scopeup to 2 collaborative multi-institutional awards of up to $250,000/year for 4 years for nanosystem topics having relevance to computing (i.e., NIRT-like awards)Submission limitations:Investigators may participate as PI, co-PI, or Senior Personnel on at most one proposal for this solicitationPIs must come from US universities or colleges
17 CCF Division’s CPA 2006 Solicitation 06-585 Proposal due date: October 10, 2006Research topics include (but are not limited to)SW/HW systems: reliable and high-performance computing, parallelizing compilers, programming models, and run-time support for efficient resource allocation and schedulingComputer system architecture: processor marchitecture, memory, I/O subsystems, interconnection networks (including on-chip networks), reconfigurable and application-specific architectures; multicore, multithreaded, and SoC architecturesSW/HW tools: design, simulation, benchmarking, performance measurement, evaluation and tuning
18 CISE Cross-Cutting Emphasis Areas Characteristicscut across clusters and divisions (and directorates)address scientific or national priorityFY 2006 Emphasis AreasCyber TrustScience of DesignInformation IntegrationBroadening Participation in ComputingFY 2007 Emphasis AreasCyber Trust: December, 2006Science of Design: January 17, 2007Information Integration:Broadening Participation:
19 CISE Computing Research Infrastructure (CRI) annual Infrastructure Acquisition. These awards have budgets up to $2,000,000.Community Resource Development. These awards have budgets from $300,000 to $2,000,000: medium from $300,000 to $800,000 and large over $800,000. Development projects create a resource for an entire CISE research community, such as a testbed for evaluating research results or a large data resource that contains problems a community is trying to solve (e.g., annotated speech data).Planning. These awards facilitate the preparation of a proposal for a medium or large infrastructure acquisition grant. They have budgets up to $50,000 for one institution or up to $100,000 if more than one institution is involved.
20 NSF-wide croscutting programs Major Research Instrumentation Program (MRI) FY2006 budget $90MThe Major Research Instrumentation Program (MRI) is designed to increase access to scientific and engineering equipment for research and research training in our Nation's organizations of higher education, research museums and non-profit research organizations. This program seeks to improve the quality and expand the scope of research and research training in science and engineering, and to foster the integration of research and education by providing instrumentation for research-intensive learning environments. The MRI program encourages the development and acquisition of research instrumentation for shared inter- and/or intra-organizational use and in concert with private sector partners.
21 NSF-wide croscutting programs Industry University Cooperative Research Program (I/UCRC) Partnering Industries and Universities to Innovate.I/UCRCs stimulate highly leveraged industry/university cooperation by focusing on fundamental research recommended by Industrial Advisory Boards.I/UCRC develops long-term partnerships among industry, academic institutions, and government.The centers are catalyzed by a small investment from the National Science Foundation (NSF) and are primarily supported by center members, with NSF taking a supporting role in their development and evolution.
23 Proposal Preparation Grant Proposal Guide Frequently Ask Questions Regional Grants ConferencesI should Mention that most Universities have an Office of Sponsored Projects that is responsible for submission regulations associated with the various competitions NSF has. Most routine questions should go to the local ORA office before being sent to a Program Director for clarification.
25 NSF Review Criteria Criteria include: What is the intellectual merit and quality of the proposed activity?What are the broader impacts of the proposed activity?
26 Intellectual Merit Potential Considerations: How important is the proposed activity to advancing knowledge and understanding within its own field or across different fields?Significance of expected results: incremental? high impact? high-risk, high-gain?How well qualified is the proposer (individual or team) to conduct the research?Not necessarily track record in the specific field, but quality of prior work can be a consideration, as can preliminary resultsHow creative, original are the concepts and ideas?Should be ground-breaking in some aspect(s)How well conceived, organized is the proposed activity?Well-articulated problem and well-structured research planIs there sufficient access to resources?Ownership is not necessary, only access to equipment, facilities, etc.
27 Intellectual Merit Possible Ways of Assessing: High impact means more than just good papersDoes it change practice for the better?Funding is possible for high-risk, high-reward projectsEven if some may not succeedEven if the “details” are not all worked out in advanceFunding is unlikely for “flawless” projects that would “predictably” lead to only incremental resultsIt’s expected that not all creative work is already doneIt’s okay if PI doesn’t know what the final solutions will beReviewers and Program Manager look forExciting, bold visionArticulation of challenging problem(s)Substantiated description and plan of proposed approach/solutionReasonable chance the PI can be successful with the requested funds
28 Broader Impacts Potential Considerations: How well does the activity advance discovery and understanding while promoting teaching, training and learning?How well does the activity broaden the participation of underrepresented groups (e.g., gender, ethnicity, disability, geographic, etc.)?To what extent will it enhance the infrastructure for research and education, such as facilities, instrumentation, networks and partnerships?Will the results be disseminated broadly to enhance scientific and technological understanding?What may be the benefits of the proposed activity to other disciplines and society as a whole?
29 Panel and Ad Hoc Reviews A minimum of 3 reviews/proposal (typically at least 4)A score of E, V, G, F, P is given to a proposal by each reviewerComments on intellectual merit and broader impacts are givenTypically, a recommendation to fund (or not) is also givenPanel Review:Proposals are discussed and evaluated collectivelyProposal summary is written—couple of sentencesIntellectual merits are described: strengths and weaknessesBroader impacts are described: strengths and weaknessesImprovements may be suggested (optional)Panel recommendation: Competitive or Not CompetitiveComments are intended to help unsuccessful PIs improve their proposals for the next competition
30 Seven Deadly Sins of Proposal Writing Failure to focus on the problems and payoffsNo persuasive structure: poorly organizedNo clear differentiation: competitive analysisFailure to offer a compelling value proposition: potential impactKey points are buried: no highlights, no impactDifficult to read: full of jargon, too long, too technicalCredibility killers: misspellings, grammatical errors, wrong technical terms, inconsistent format, etc.
31 Ingredients for a Good Proposal Educate the reviewers and Program DirectorWhat problem(s) does your work address?Why is this problem important?What will you do to contribute to a solution?What unique ideas/approaches do you have? Put in context.Why are you the best person to do this work?How will you evaluate your results?How will we know if you were successful or if you failed?How will you assure that the work has an impact?
32 Help from the Community Send your best ideas to NSFConsistent with focus & goals of the programWe want high risk / high reward proposalsSuggest and encourage good panelists who can do justice to the proposals and our focusVolunteer to be a reviewer and panelist
33 Nuggets Convince the US public that research is worth paying for Succinct, interesting vignettesShow a result, not an expenseLayman’s languageGraphics if possibleNSF Uses the best onesBudget requestsPerformance reportsPublic relations
34 Concluding RemarksNSF’s role is fundamental to all areas of our society - the most basic future investmentComputer science and related disciplines are very important in their own right and essential to advancement in all areas of S&ENSF and our field are facing unprecedented pressures that can only be overcome by concerted, cooperative action
35 NSF CISE Career Opportunities Program Directors are sought for one- or two-year terms or for permanent positions in CNS, CCF, and IIS Divisions of CISECurrently available positions are in the CNS Division (call closes on 10/06/06):Network Systems (Nets) ClusterComputer System Research (CSR) ClusterEducation and Workforce (EWF) ClusterInformation about positions can be found at
36 Contact InformationAlmadena ChtchelkanovaProgram Director,CPA Cluster in CCF Division of CISENational Science Foundation(703)CISE Web Site:
38 Advanced Computational Research Almadena Chtchelkanova, achtchel@nsf Advanced Computational Research Almadena Chtchelkanova,Hardware/software research and enabling technologies for advancing the state-of-the-art in computational science and engineering that require efficient computational algorithms, high throughput input/output (I/O) capabilities, large data storage capacities, and tools for efficiently organizing, locating, and moving data, possibly produced by different applications in numerous locations and in various formats. design of multi-level (hierarchical, layered) parallel algorithms and libraries;scalable and latency tolerant computational/numeric algorithms;performance modeling of scalable algorithms;management of large-scale distributed file systems and data;novel storage devices, architectures, and middleware for high-throughput I/O;software and hardware processes and artifacts for design, simulation, benchmarking, tracing, performance measurement and tuning of I/O, file, and storage systems in high-performance computing environments.
39 HPC software and Compilers Almadena Chtchelkanova, firstname.lastname@example.org Foundations in compilers for enabling robust high-performance computer systems, automatic algorithm mapping, code and data transformation, translation to hardware description language (for reconfigurable architectures) and optimization (both static and dynamic), advanced analysis to verify program correctness and improve programmer productivity, compiler support for automating the exploitation of parallelism (i.e., parallelizing compilers), effective compiler support for automatically parallelizing single-threaded programs to fully utilize the potential of multicore processors and multiprocessor systems built from multicores.parallelizing compilers and infrastructure for optimizing compilers for multiple platforms;parallelization techniques for exploiting parallelism at multiple levels applicable to multiple programming models;software and compiler support for mapping and scheduling multiple threads on (possibly heterogeneous) multicore and multiprocessor systems;software and compiler techniques for managing on-chip communication, power consumption, temperature and fault tolerance in multicore architectures;compiler techniques to guarantee safety from potential deadlocks, memory leaks, race conditions and other forms of correctness in parallel programs.
40 Graphics & Visualization (GV) Larry Rosenblum email@example.com Sponsors integrated research and education projects to advance the scientific foundations and engineering practices/education that underlie the ability to perform visual information transfer, address models of physical events, develop mechanisms for image production, and utilize visualization to represent and explore informationFocus is on the ability to model, render, and display data and to understand the forms of visualization that can best transfer particular types of informationSeeks fundamental advances that will enhance the numerous activities that utilize computer graphics and visualization, including science, engineering, medicine, entertainment, education, commerce, and homeland securityMultiresolution Subdivision Surfaces simplify the addition of sharp surface features onto surfaces [Zorin, NYU]Computer-generated lighting effects using flash photography [Durand, MIT]
41 Graphics & Visualization (GV) Larry Rosenblum firstname.lastname@example.org Topics of interest include:Mathematical models for representing geometric and non-geometric dataAlgorithms for the photorealistic and non-photorealistic rendering of geometry, lighting, and materialsPhysical-based modeling and graphical simulationAnimation techniquesMulti-resolution algorithms for graphics modeling and applicationsVisibility algorithmsScientific visualization algorithms and systemsVisualization aspects of visual analyticsVisualization aspects of location-aware computingVirtual and augmented realityNovel hardware for graphics processingGraphics issues in computational photography and videoInnovative multidisciplinary proposals that join visualization with other computer-science domainsThe nanoManipulator system enables scientists to directly see and touch nanometer-scale objects [Taylor et al., UNC]The steps of the Virtual Colonoscopy: CT scan of patient’s abdomen; automatic segmentation and reconstruction; real-time volume rendering [Arie Kaufman, SUNYSB]
42 Software Engineering and Languages (SEL) Sol Greenspan sgreensp@nsf Software Engineering and Languages (SEL) Sol GreenspanSponsors integrated research and education projects to advance scientific foundations and engineering practice/education that contributes to new understanding of software and software development issues with an objective of significantly increasing productivity of software development and attaining the highest quality software-based products and servicesRelevant projects may concern any of the artifacts and processes involved in software engineering—including languages, theories, models, techniques, methods, tools and environments relating to requirements, specification, design, programming, verification, testing, maintenance, transformation, evolution and other activities of software developmentProposals should emphasize lasting principles, robust theories, high-leverage tools and novel approaches with plans for validation through proofs of concept, empirical evaluation and/or other scientific methods
43 Software Engineering and Languages (SEL) Sol Greenspan sgreensp@nsf Software Engineering and Languages (SEL) Sol GreenspanTopics of interests include:Programming language principles, design and implementationPL semantics to elucidate new features, e.g., aspectsAdvancing type theory to full theorem provingSoftware analysis and testingTest-case generation, fault localizationStatic and dynamic checking, model checkingMonitoring and continuous testing of distributed systemsFormal methods for program development – components and compositionAssembling components to meet a specification, trusted components, behavioral interfacesSoftware development methodologyInformal methods, integrated environments, processes, requirements, architectures, dependability, scaling up
44 Design Automation for Micro and Nano Systems Sankar BasuPrimary components: Design in silicon CMOS technologies All issues resulting from aggressive scaling including upto nano-meter length scales Design for Emerging nano-device/architectures CNTs, SETs, FiNFETs etc. Crossbar, CMOL etc. Design for heterogeneuos technologies Analog, mixed-signal, RF, MEMS etc.
45 Design automation (examples) Sankar Basu email@example.com Silicon CMOS:physical design aspects, routing, layout etc.power optimization, interconnectssystem level design e.g., SOC, NOC etc.test, verification, validation etc.Nano design and architectures:novel approaches to parallelism that are more suitable to nanoscale electronics, besides the tried and true parallel computers of the pastdesign of reliable systems from unreliable components – fundamental limits to such designs, defect/fault models, testing and verification strategies in this context
46 Computer System Architecture (CSA) Timothy Pinkston firstname.lastname@example.org processor architecturememory, I/O subsystems interconnection networks (including on-chip networks)reconfigurable and application-specific architecturesmulticore, multithreaded, and SoC architectures