This Cyber-ShARE subproject is training
the next generation of environmental scientist in cyberinfrastructure
and ecoinformatics research using novel case-driven approaches
that meet key challenges in the environmental sciences.
Why? - Environmental change is affecting
the sustainability of ecosystem goods and services globally
and there is an urgent need to predict the future state
of the Earth System and understand how humans will need
to adapt. This urgency is driving paramount programmatic
and operational changes in the ecological and environmental
sciences. Increasingly, the environmental sciences are:
- Shifting towards more data driven science, where
researchers are needing to trust the integrity of data
collected by other researchers and multidisciplinary
scientific networks to answer ‘BIG’ picture
questions such as, how are global biogeochemical cycles
being impacted by climate change or how does seasonal
climate variability impact the virulence of infectious
diseases;
- There is an increased utilization of advanced field
based instrument technologies such as advanced instrument
towers, sensor arrays, and autonomous vehicles; and
subsequently,
- The need for optimizing data streams, quality checking
procedures, and managing, archiving and integrating
large volumes of multivariate data from field based
and other instrument platforms (e.g. satellite) has
increased dramatically.
Goals and Objectives
This Cyber-ShARE subproject aims to develop CI tools
that facilitate the creation of an optimized end to end
cyberinfrastructure for environmental data collection, transmission,
optimization, archival, visualization and discovery. All
of the following research objectives require CI development
approaches based on optimization, provenance, trust and
uncertainty computation to inspire improved user-confidence
in data streams:
- Develop quality Assurance and optimization tools
for static field based instrumentation that improve
measurements of land-atmosphere processes and characterization
of environmental tipping points and stochastic events
whilst minimizing real-time data transmission;
- Establish and optimize tools for integrating voluminous
data streams from movable sensor platforms such as autonomous
robotic carts, uninhabited ground vehicles (UGVs), and
uninhabited aerial vehicle systems (UASs);
- Customize back-end tools that link, spatially extrapolate,
and animate real time and archived data with interactive
internet mapping applications information portals; and
- Create tools for optimizing spatio-temporal data
collection in sensor arrays in environmental observatory
networks.
Several other projects funded externally to UTEP’s NSF funded
Cyber-ShARE Center are also partnered to this subproject.
These projects share ideas for innovation, utilize the Cyber-ShARE
Center for existing expertise and problem solving and include:
- The Barrow Area Information Database and Internet
Map Server (BAID-IMS)
- The Circumarctic Environmental Observatories Network
(CEON)
- The Arctic Research Mapping Application (ARMAP)
- The US Arctic Observing Network (AON)
Team
Faculty
Dr. Craig Tweedie
Dr. Vladik Kreinovich
Dr. Paulo Pinheiro
Researchers
Ryan Cody
Juan Carlos Franco
Christian Andresen
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PhD Students
Irbis Gallegos
Santonu Goswami
Jose Herrera
Aline Jaimes
George Walker Johnson
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Master Students
Jerald Brady
Juan Carlos Gonzalez
Tomas Kianicka
Gesuri Ramirez
Undergraduate Students
Jiri Mensik
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