Enabling Global Collaboration Technologies

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.

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.