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NSF Priority Areas Status Report

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NSF Priority Areas. Status Report. Dr. Joann Roskoski. April 7, 2005. NSF Priority Areas. Areas supported for limited duration in which interdisciplinary research ... – PowerPoint PPT presentation

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Title: NSF Priority Areas Status Report


1
NSF Priority Areas Status Report
  • Dr. Joann Roskoski
  • April 7, 2005

2
NSF Priority Areas
  • Areas supported for limited duration in which
    interdisciplinary research holds exceptional
    promise for advancing knowledge and addressing
    national interests.
  • Current Priority Areas
  • Biocomplexity in the Environment
  • Human and Social Dynamics
  • Mathematical Sciences
  • Nanoscale Science and Engineering

3
Priority Area M
Priority Area FY04 Actual FY05 Plan FY06 Request FY07 FY08

Biocomplexity in the Environment 104 99 84 84
Human and Social Dynamics 30 38 39 40 41
Mathematical Sciences 92 89 89 89
Nanoscale Science Engineering 256 297 243 233
Note Estimates for 2007 and beyond do not
reflect policy decisions and are presented for
planning purposes
4
BIO Priority Area M
Priority Area FY04 Actual FY05 Plan FY06 Request

Biocomplexity in the Environment 40 40 30
Human and Social Dynamics 0.5 0.5 0.5
Mathematical Sciences 2 2 2
Nanoscale Science and Engineering 5 6 4
5
Biocomplexity in the Environment
  • Goal Support interdisciplinary research
    addressing the interrelationships that arise when
    living things at all levels - from molecules to
    ecosystems - interact with their environment
  • Expected Outcome A more complete and synthetic
    understanding of natural processes, of human
    behaviors and decisions in the natural world, and
    ways to use new technology effectively to sustain
    life on earth.

6
Biocomplexity in the Environment
  • Topics
  • Instrument Development for Environmental
    Application (IDEA)
  • Genome Enabled Environmental Research (GEN-EN)
  • Coupled Biogeochemical Cycles (CBC)
  • Coupled Natural and Human
  • Systems (CNH)
  • Materials Use, Science,
  • Engineering and Society
  • (MUSES)

7
Biocomplexity special competition
Biocomplexity in the Environment
IDEA
Sensors
?
GEN-EN
Env. Genom.
?
CBC
Earth Cycles
?
CNH
?
MUSES
?
BE ends as Priority Area
8
Other BE Activities
  • Ecology of Infectious Diseases (EID)
  • Microbial Genome Sequencing (MGS)
  • Tree of Life (AToL)
  • Environmental Molecular Science Institutes (EMSI)
  • Innovations in Environmental Education (EdEn)
  • International Partnerships

9
Pathways
  • Varied award sizes
  • GLUE grants
  • Synthesis opportunities
  • Data accessibility

10
Human and Social Dynamics
  • Goals
  • To advance understanding of the complex dynamics
    of human social systems, in space time
  • To encourage scientific breakthroughs
  • to aid in management adaptation to
  • change
  • To link the social, behavioral, natural
  • sciences, mathematics engineering
  • To advance the cutting-edge of the social
  • behavioral sciences through research,
    infrastructure development education

11
Human and Social Dynamics
  • Topics for Exploratory and Research Team
    Projects
  • Agents of Change dynamics of large-scale
    transformational changes development of human
    societies over time
  • Dynamics of Human Behavior how individuals
    collective entities form, act and react to
    internal
  • external stimuli
  • Decision-Making, Risk
  • Uncertainty examining human
  • attempts to assess and manage
  • risky and uncertain situations

12
Mathematical Sciences
  • Overall Goal
  • To advance frontiers in three interlinked areas
  • Fundamental mathematical and statistical sciences
  • Interdisciplinary research involving the
    mathematical sciences with science and
    engineering and focused on selected themes
  • Critical investments in mathematical sciences
    education

13
Mathematical Sciences
  • Areas of Emphasis
  • Fundamental mathematical and
  • statistical sciences
  • Advancing interdisciplinary sciences
  • and engineering
  • Mathematical and statistical challenges
  • posed by large data sets
  • Managing and modeling uncertainty
  • Modeling complex non-linear systems
  • Advancing mathematical sciences
  • education

14
Nanoscale Science and Engineering
  • Goal
  • Working at the 1 100 nm range, to understand,
    create and use materials, devices and systems
    with fundamentally new properties and functions
  • Outcomes
  • novel phenomena, properties and functions
  • the ability to measure / control / manipulate
    matter at the nanoscale in order to change those
    properties and functions
  • integration along length scales, and fields of
    application

15
Nanoscale Science and Engineering
  • Topics for Exploratory, Integrated Research Teams
    ,
  • Biosystems at the Nanoscale (biostructures,
    mimicry, bio-chips)
  • Novel Nanostructures and Phenomena (physical,
    biological, electronic, optical, magnetic)
  • Device and System Architecture (interconnect,
    system integration, pathways)
  • Environmental Processes (filtering, absorption,
    low energy, low waste)
  • Multiscale and Multiphenomena Modeling
  • Manufacturing at the Nanoscale
  • Education
  • Social Implications
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