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Award Abstract # 0734825
CREST-Cyber-ShARE Center of Excellence: A Center for the Sharing of Cyber-Resource to Advance Science and Education

NSF Org: EES
Div. of Equity for Excellence in STEM
Recipient: THE UNIVERSITY OF TEXAS AT EL PASO
Initial Amendment Date: July 25, 2007
Latest Amendment Date: January 4, 2012
Award Number: 0734825
Award Instrument: Cooperative Agreement
Program Manager: Victor Santiago
EES
 Div. of Equity for Excellence in STEM
EDU
 Directorate for STEM Education
Start Date: September 1, 2007
End Date: August 31, 2013 (Estimated)
Total Intended Award Amount: $4,999,889.00
Total Awarded Amount to Date: $5,225,376.00
Funds Obligated to Date: FY 2007 = $1,107,023.00
FY 2008 = $744,820.00

FY 2009 = $1,150,753.00

FY 2010 = $1,149,500.00

FY 2012 = $1,073,280.00
History of Investigator:
  • Ann Gates (Principal Investigator)
    agates@utep.edu
  • Aaron Velasco (Co-Principal Investigator)
  • Craig Tweedie (Co-Principal Investigator)
  • Leticia Velazquez (Co-Principal Investigator)
  • Paulo Pinheiro da Silva (Co-Principal Investigator)
Recipient Sponsored Research Office: University of Texas at El Paso
500 W UNIVERSITY AVE
EL PASO
TX  US  79968-8900
(915)747-5680
Sponsor Congressional District: 16
Primary Place of Performance: University of Texas at El Paso
500 W UNIVERSITY AVE
EL PASO
TX  US  79968-8900
Primary Place of Performance
Congressional District:
16
Unique Entity Identifier (UEI): C1DEGMMKC7W7
Parent UEI: C1DEGMMKC7W7
NSF Program(s): Centers for Rsch Excell in S&T
Primary Program Source: 0400999999 NSF Education & Human Resource
04000809DB NSF Education & Human Resource

04000910DB NSF Education & Human Resource

0400999999 NSF Education & Human Resource

04001011DB NSF Education & Human Resource

04001112DB NSF Education & Human Resource

04001213DB NSF Education & Human Resource
Program Reference Code(s): 7204, 9131, 9179, SMET
Program Element Code(s): 913100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.076

ABSTRACT

The Cyber-ShARE Center will bring together experts in computer science, computational mathematics, education, earth science, and environmental science to address the challenge of providing information to scientists and other users of cyber-infrastructure (CI) that allows them to make informed decisions about the resources that they retrieve and to have confidence in using results from CI-based applications. The Cyber-ShARE team will conduct innovative research to facilitate the development of CI-based applications and increase their use by scientists by enhancing CI results with provenance information, trust recommendations, and uncertainty levels (areas that are recognized as essential for the success of CI); by creating scientist-centered tools and artifacts; and by contributing CI resources to appropriate CI portals. In addition, the synergistic and multi-disciplinary subprojects will advance knowledge in i) provenance to capture knowledge about uncertainty and trust using results from discipline experts; ii) the physical properties of the Earth by studying CI-based techniques and approaches for integrating data with varying accuracy and sensitivity; iii) optimization of data streams and sensor arrays in ecological and environmental networks by targeting improved characterization of environmental phenomena and processes.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 113)
Argaez, M. "Sequential Quadratic Program for Nonconvex Lp-regularized Metric Problems" Transactions on Signal Processing , 2008
Beck, Jan; Nemir, David and Kreinovich, Vladik "Minimum Description Length (MDL) Principle as a Possible Approach to Arc Detection" Applied Mathematical Sciences , v.4, 63 , 2010 , p.3143-3152
Beck, J., Nemir, D., and Kreinovich, V., "Mathematical Justification of Spectral/Covariance Techniques: On the Example of Arc Detection" Applied Mathematical Sciences , v.3 , 2009 , p.1081-1089
Buntao, Nitaya; Katemee, Narunchara and Kreinovich, Vladik "A Possible Way to Avoid Heat Death" Journal of Uncertain Systems , v.4, 4 , 2010 , p.250-256
Buntao, Nitaya; Kreinovich, Vladik "Uniqueness of Reconstruction for Yager's t-Norm Combination of Probabilistic and Possibilistic Knowledge" International Journal of Intelligence Systems , v.27 , 2012 , p.16-22 10.1002/int.20514
Ceberio, Martine; Kreinovich, Vladik "No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation is Unusually Slow" Springer Lecture Notes in Artificial Intelligence , v.7905 , 2011 , p.13-23
Ceberio, Martine; Kreinovich, Vladik "Preface to the Special Issue on Uncertainty" Journal of Uncertain Systems , v.6 , 2012 , p.83
Cheu, R.L., Nguyen, H.T., Magoc, T., and Kreinovich, V. "Logit Discrete Choice Model: A New Distribution-Free Justification" Soft Computing , v.13 , 2009 , p.133-137
*Chiangpradit, Monchaya ; *Panichkitkosolkul, Wararit ; Nguyen, Hung T. ; Kreinovich, Vladik "Extreme Distributionson Intervals" Computational Technologies , v.17 , 2012 , p.17-25
*Cuellar, Chris; *Longpre, Evan; Kreinovich, Vladik "Why L2 Topology in Quantum Physics" Journal of Uncertain Systems , v.6 , 2012 , p.92-99
Doser, Diane; Hussein, Musa; Serpa, Laura F.; Velasco, Aaron A. "Role of Sedimentation in Continental Rifting from Comparing Two Narrow Rift Valleys the Salton Trough and Death Valley-California" Natural Science , v.3 , 2011 , p.927-935 10.4236/ns.2011.311119
(Showing: 1 - 10 of 113)

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

The Cyber-ShARE (Sharing Resources to Advance Research and Education through Cyberinfrastructure) Center of Excellence at the University of Texas at El Paso (UTEP) conducts research on complex interdisciplinary problems and develops a workforce that is capable of contributing to research that integrates knowledge across disciplines.  Cyber-ShARE brings together experts in computer science, computational mathematics, education, earth science, and environmental science 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.  During the initial funding period, Cyber-ShARE conducted research and supported subprojects within the following areas:

  • Knowledge representation that focuses primarily on the challenge of providing information to scientists and other users of cyberinfrastructure (CI) that allows them to trust the data and products that they can automatically retrieve;
  • Earth’s Structure that addresses the challenges of integrating geophysical data from diverse sources to obtain a more coherent understanding of the structure below the earth’s surface that results in earthquake activity; and
  • Environmental Science that addresses issues of integrating data collected at different spatiotemporal scales (from sensors at field sites to sensors in space), to better understand the exchange dynamics and biophysical controls of land-atmosphere carbon, water, and energy exchange in several extreme environments.

INTELLECTUAL MERIT

The merit of the Cyber-ShARE Center lies in its success of the following: developing interdisciplinary research capacity at UTEP; educating diverse scientists and engineers who can work in interdisciplinary teams and are knowledgeable in using state-of-the-art CI technologies; and developing center and institutional-level CI that can exploit and contribute to emerging national-level CI.  All Cyber-ShARE projects involve faculty and student researchers from multiple disciplines. Through workshops, training, and immersion, students learn how to work in interdisciplinary teams.

In its efforts to support collaboration and use of disseminated scientific results, the researchers from the Knowledge Representation subproject developed software products and methods for documenting the steps of a scientific analysis from initial data collection, through processing and analysis, to publication and sharing of results. In its effort to generate a better understanding of the structure beneath the Earth’s surface, and its relationship with earthquakes, the research from the Earth Structure subproject has resulted in algorithms for the fusion of seismic data and geophysical models. The subproject has produced a novel model fusion approach to create more accurate models of Earth structures from velocity models, an angular density approach for processing seismic data that uses innovative techniques to quantify spatial resolution of the resulting geophysical model, and an optimization method that provides a robust approximated model in terms of satisfying geophysical constraints, accuracy, and efficiency. The Environmental Science subproject has developed new CI to improve understanding of the exchange dynamics and biophysical controls of land-atmosphere carbon, water, and energy exchange in several extreme environments. The data from the project is being contributed to national and international networks and prototype software are being tested by colleagues within the field, which has generated positive feedback.

Cyber-ShARE has funded 71 student Cyber-ShARE Scholars since 2007 and involves an additional 10 students leveraged from other funding sources. 54 o...

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