Evolving New Global Workflows for Land Change Science

GLOBE was designed to transform land system science by creating new global scientific workflows that integrate local-, regional- and global-scale researchers, expertise and data based their global relevance using an online collaboration environment leveraging social-computational algorithms and real-time quantitative global and statistical visualization.

To solve global problems, we need global scientific understanding of local change.

To understand global changes in the Earth system, scientists must generalize globally from observations made locally and regionally.  In land change science, ecology, archaeology, anthropology and other disciplines in which field studies are costly and time consuming, observations are generally obtained by researchers working at disparate local and regional case study sites chosen for different reasons.  As a result, scientific understanding of global pattern, process and change in these disciplines tends to be based on non-statistical inferences made from observations collated and analyzed by informal methods.

GLOBE aims to transform global change science by enabling new scientific workflows based on statistically robust, globally relevant integration of local and regional observations using an online social-computational system. 

This material is based upon work supported by the National Science Foundation under Grant CNS 1125210 awarded September 15, 2011. Initial support provided by the UMBC Research Seed Funding Initiative (RSFI).

Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.