Welcome to Cyber-ShARE

Created in 2007, the Cyber-ShARE Center of Excellence brings together experts in computer science, computational mathematics, education, earth science, and environmental science. The team addresses the challenge of providing information to scientists and other users of cyberinfrastructure (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 conducts 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.

*Cyberinfrastructure (CI) is the technical infrastructure, organizational practices, and social norms required to collectively provide for the smooth operation of work in which interactions may be distributed across time and geographic location. (Edwards et al., Cyberinfrastructure Vision for 21st Century Discovery, March 2007).

Announcements

Job opportunities at UNAVCO

UNAVCO has two open positions to fill at either the Software Engineer II or III level. As a Software Engineer you will provide critical support to the Geodesy Data Archive functions. You will collaborate with other software engineers and scientists on systems requirements and design, and you will develop software systems and web tools supporting distribution of data and metadata to our global network of researchers and data centers. We have opportunities for special projects to utilize your unique set of skills to help us build the next generation of tools for leveraging geodetic science to the next level.

Job opportunities at CalTech

The Caltech Seismo Lab seeks a programmer to write new C++, Java, and Python code, including using Oracle and messaging software, to facilitate automated real-time data acquisition and processing. Involved in entire life-cycle of real-time earthquake monitoring software, including planning, development, deployment and maintenance. We seek applicants who like to apply their computer programming skills to develop and implement new software technologies for innovative real-time data processing.

Upcoming 11th NMSU/UTEP workshop on Mathematics, Computer Science, and Computational Sciences

The next workshop will be held at NMSU on Saturday March 31, 2012. The local organizer is Dr. Karen Villaverde from NMSU Computer Science Department. Please contact Dr. Villaverde for further information via email at kvillave at cs.nmsu.edu.

Assistant/Associate Professor position available

The Computational Science Program at the University of Texas at El Paso invites applicants for a tenure track faculty position at either the Assistant or Associate Professor level. The position will support the growth of the MS/Ph.D Program's interdisciplinary science, technology, engineering, and mathematics (STEM) research efforts in Computational Science. The anticipated appointment date is fall 2012.

more announcements »

Research

Cyber-ShARE focuses on the following projects, each with significant contributions to the educational components:

Computer Science - Believing and Accepting Cyber-Results: focuses on promoting the scientist’s use of CI by including trust and uncertainty management in support of workflow results.
Geoscience - Integrated Analysis for Development of 3-D Models of Earth Structure: addresses the problem of obtaining different results from the analysis of geophysical studies of the Earth’s structure, mainly due to mischaracterization of measurement uncertainty, by applying results from optimization and trust models research (e.g., data assimilation and inversion methods using sensor information) to geophysics.
Environmental Science - Advancing the Utility of Cyberinfrastructure in Environmental Science: addresses the challenge of optimizing data streams and sensor arrays in ecological and environmental networks through use-case studies to improve characterization of various environmental phenomena and processes.