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  • Cyber-ShARE

 
     500 W. University Ave.  Classroom Building, C401  El Paso, Texas 79968
 
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Mission and Goals

The Cyber-ShARE Center of Excellence's mission is to advance and integrate cyber-enhanced, collaborative, and interdisciplinary education and research through technologies that support the acquisition, exchange, analysis, and integration of data, information, and knowledge.

Funders and Collaborators

Cyber-ShARE recently received renewal funding of $5,000,000 grant from the National Science Foundation Center of Research Excellence in Science and Technology. The Center also receives funding from the following NSF programs: Innovation and xx and the xx. It also has funding from NASA, USDA, and USAID.

KEYWORDS

  1. Constraint uncertainty management
  2. Data integration
  3. Data management
  4. Data quality assurance
  5. Environmental monitoring
  6. Knowledge management
  7. Numerical optimization
  8. Ontologies
  9. Remote sensing
  10. Semantic web
  11. Sensor networks
  12. Software engineering

IN THE NEWS

  1. 'Viz Wall' Offers Giant Research Prospects
  2. Climate Change Research Takes Students, Faculty to Arctic
  3. Danny Olivas, UTEP to Improve Human Spaceflight Safety
  4. 'Viz Wall' Offers Giant Research Prospects

EXPERTISE

As national leaders in the study of collaborative science and engineering, Cyber-ShARE has developed and applied models of team-based, cooperative learning, interdisciplinary teamwork, and knowledge integration. CI research has focused on enabling sharing and reuse of scientific results by enhancing results with provenance and other critical information. The Center’s research in analysis of climate change impacts on the environment and the modeling of Earth’s structure has advanced through the Center’s interdisciplinary approaches supported by CI.

CAPABILITIES

  • Analysis of multiple geophysical data sets
  • Constraint uncertainty management
  • Data management, integration, and analysis
  • Data quality assurance and control
  • Environmental multi-scale remote sensing
  • Knowledge management systems
  • Knowledge representation (ontologies)
  • Numerical optimization
  • Semantic Web technologies
  • Sensors and sensor networks for environmental monitoring
  • Software formal specification and verification
  • Visualization
  • Web-based mapping application development

    • KEYWORDS

    1. Constraint uncertainty management
    2. Data integration
    3. Data management
    4. Data quality assurance
    5. Environmental monitoring
    6. Knowledge management
    7. Numerical optimization
    8. Ontologies
    9. Remote sensing
    10. Semantic web
    11. Sensor networks
    12. Software engineering

    IN THE NEWS

    1. 'Viz Wall' Offers Giant Research Prospects
    2. Climate Change Research Takes Students, Faculty to Arctic
    3. Danny Olivas, UTEP to Improve Human Spaceflight Safety
    4. 'Viz Wall' Offers Giant Research Prospects

    MEMBERS

    Gates, Ann
    Center Director
    Professor
    Engineering - Computer Science

    Kreinovich, Vladik
    Investigator
    Professor
    Engineering - Computer Science

    Tweedie, Craig
    ES Project Lead
    Professor
    Science - Biological Sciences

    Pennington, Deana
    Associate Center Director
    Professor
    Science - Earth, Environmental and Resource Sciences

    Velasco, Aaron
    GS Project Lead
    Professor
    Science - Earth, Environmental and Resource Sciences

    Villanueva Rosales, Natalia
    CS Project Lead
    Associate Professor
    Engineering - Computer Science

    KEYWORDS

    1. Constraint uncertainty management
    2. Data integration
    3. Data management
    4. Data quality assurance
    5. Environmental monitoring
    6. Knowledge management
    7. Numerical optimization
    8. Ontologies
    9. Remote sensing
    10. Semantic web
    11. Sensor networks
    12. Software engineering

    Gallery

    An interdisciplinary team, which is composed of researchers from Computer Science, Education, and Anthropology, are analyzing a graphical representation of Linked Open Data Cloud by Richard Cyganiak and Anja Jentzsch as a way to integrate knowledge across disciplines.

    Interdisciplinary team discussion on the use of ontologies to support collaborative research

    Cross-section of the southern part of the Rio Grande Rift (RGR) showing seismically fast mantle underlying the rift and the relatively slow mantle beneath the Mt. Taylor and Colorado Plateau. The mantle's anomaly corresponds to the Jemez lineament, a chain of volcanic centers that cross New Mexico.

    Cross-Section of the southern part of the Rio Grande Rift (RGR)

    Rail extends 110m. from west to east. B.Unispec-DC spectrometer in the robotic cart. C.A researcher sets up the robotic cart carrying the spectrometer (eddy covariance tower in background). D.Upward-facing fiber optic with cosine head. E.Downward facing fiber optic w/ downward facing web camera.

    Rail tramline and spectrometer setup at the Jornada research site established by the Environmental Science Subproject

    The velocity model is derived from a joint inversion between two geophysical data sets. The model on the left shows peak and minimum values for the color scale and anomalies in the crust. The one on the right shows anomalies in the mantle and is plotted using the color scale between 4-5 km/s.

    3D S-Wave Velocity Model for the Southern Rio Grande Rift