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Imagine you are a land change scientist, studying a
culture whose primary use of land is sorghum
production, and how their use of land is
evolving. Field studies are costly and time
consuming. How might you go about generalizing your
results to a global scale? Ideally, you would be able
to quickly find studies with similar characteristics to
your own, to incorporate their results into your own
models. But how? The process is similar in forensics,
ecology, archaelogy, and many other disciplines who
conduct regional studies aimed at global impact.
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The Global Collaboration Engine is a tool aimed at
improving collaboration and enabling new scientific
workflows by integrating local and regional data into a
global view. The GCE provides data integration and
real-time quantitative global and statistical
visualization to allow researchers quick, intuitive
access to relevant data from local to global perspective.
The GCE is being fielded for the purpose of land
change science in the GLOBE project[1]. It is currently being
alpha tested. Please
contact Erle
Ellis if you are involved in land change research
and would like to participate in alpha testing.
Underlying data representations, and efficient,
real-time similarity computation and visualization for
the GCE are appropriate and applicable to many
scientific disciplines. If you feel your field could
benefit from the workflows and possibilities of the
Global Collaboration Engine, please feel free to
contact
me directly.
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