The CI Gap: How big is it and how can weclose it" - PowerPoint PPT Presentation

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The CI Gap: How big is it and how can weclose it"

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Can Idaho to be competitive in the emerging NSF Community ... DASH (GIS) In progress. Map Windows. Dan Ames. OLAP. OpenMI. HEC-RAS. MIKE Suite. WoW Mica Ck ... – PowerPoint PPT presentation

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Title: The CI Gap: How big is it and how can weclose it"


1
  • The CI Gap How big is it and how can we close
    it?"
  • Idaho
  • Cyberinfrastructure
  • Assessment and Needs
  • Peter Goodwin
  • Dan Ames
  • John Oldow

2
The Problem
  • Can Idaho to be competitive in the emerging NSF
    Community Science Paradigm?
  • Idaho has no high-bandwidth computing network
    linking the Idaho National Laboratory with the
    three major universities
  • INL does not have adequate bandwidth to meet
    anticipated needs (10- 40Gb)
  • Strong academic research programs are being
    challenged and face personnel retention issues
  • Example niche strengths Alternative Electric
    Power (inc. nuclear), Bio-fuels, Ecological
    Health
  • GEON, Bioinformatics IBEST, NIATT,
  • Idaho Experimental Watershed Network

3
The Concept of Cyberinfrastructure
  • Infrastructure that enables distributed,
    real-time collaboration requiring large-scale,
    dynamic information
  • Examples of components to be integrated
  • Unique experimental facilities
  • Networks of real-time and offline data collection
    devices
  • Major computational processing capabilities
  • High-speed networks
  • Tele-participation and tele-operation tools
  • Data/metadata storage and curation
  • Computational models and model components
  • Data analysis and information extraction tools
  • Digital assets management
  • Dr. Miriam Heller, OCI, NSF
  • TN, 2006

4
Example 1 The GEONgrid
5
INTERFACE
National Facility for Digital Geosciences
University of Idaho University of Texas,
Dallas Arizona State University University of
Kansas UNAVCO, Inc.
  • NSF Facility to provide
  • equipment and methods needed to acquire digital
    field observations
  • software and workflows to process and analyze
    large datasets
  • data accessibly and storage
  • community training and field assistance

6
Example 2 Water, Climate Change and Ecosystem
Health
  • Second largest diverter of water for agriculture
    in the US, second only to California.
  • More water is diverted for aquaculture than the
    rest of the US combined.
  • More than 93,000 miles of streams in Idaho. This
    is long enough to flow around the world almost
    four times.
  • Over 3000 miles of world class white water more
    than the rest of the contiguous US combined
    (source American Rivers)
  • Each year more than 420,000 anglers fish Idaho
    streams. (Idahos population is 1 m)
  • Streams are home to 19 fish species that are
    endangered or threatened
  • Some regions of the State have just experienced
    the three driest years on record, the Boise River
    has flooded this year .

7
Idaho EPSCoR Field Study Locations
Mixed Forest Fluxes
Ecosystem Disturbance Agent Research Thrust
Even-Age Forest Logging Fluxes
Mixed Forest Logging Mapping Vegetation
Structure/Biomass
Steppe Urbanization Hydrologic Pathways
Steppe/Forest Ag/Urbanization Water Quality/ Fish
Physiology
Steppe/Forest Grazing, Fire Fluxes
8
IEWN Cyberinfrastructure Development
Basins
Map Windows Dan Ames
HydroSeek (Search)
DASH (GIS)
OpenMI
HEC-RAS
WebServices
MIKE Suite WoW Mica Ck
OLAP
ODM Database
FERGI
In progress
9
The Idaho Stream Laboratory
A magnet facilitySize, remote operation and
participation, instrumentationNEES Analogy
10
The Concept of Cyberinfrastructure
  • Infrastructure that enables distributed,
    real-time collaboration requiring large-scale,
    dynamic information
  • Examples of components to be integrated
  • Unique experimental facilities
  • Networks of real-time and offline data collection
    devices
  • Major computational processing capabilities
  • High-speed networks
  • Tele-participation and tele-operation tools
  • Data/metadata storage and curation
  • Computational models and model components
  • Data analysis and information extraction tools
  • Digital assets management
  • Dr. Miriam Heller, OCI, NSF

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11
Opportunities
  • Northern Tier
  • Idaho Regional Optical Network IRON
  • Idaho Transportation Department
  • Develop infrastructure that can contribute to
    National Effort e.g. Environmental
    Observatories
  • Business, Research, Education
  • k-12 STEM, course delivery, outreach
  • Multiple planning initiatives supported by
  • Idahos Technology Platforms Building on the
    States Core Competencies (Battelle, 2006). Idaho
    Commerce and Labor
  • Governors Science and Technology Advisory
    Council, 2004.
  • . . . . . .

12
  • Contacts for Further Information
  • State EPSCoR Director Jeanne Shreeve
    jshreeve_at_uidaho.edu
  • Infrastructure Harvey Hughett, Exec Dir/CIO
    ITS. hughett_at_uidaho.edu
  • Antony Opheim, CTO, Enterprise Infrastructure
    Services tony_at_uidaho.edu
  • Example Research Applications
  • Bioinformatics, IBEST James Foster
    foster_at_uidaho.edu
  • GEON John Oldow oldow_at_uidaho.edu
  • Idaho Experimental Watershed Network
  • Dan Ames amesdani_at_isu.edu
  • Peter Goodwin pgoodwin_at_uidaho.edu
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