GLEON RCN - Advancing lake ecology by building an international community to
exploit innovations in sensor network technology


GLEON CDI – computational thinking to advance lake network science

The GLEON Cyber-enabled Discovery and Innovation (CDI) program, funded by the US National Science Foundation, uses computational thinking to advance lake network science. We view ‘computational thinking’ as tight coupling between advanced methodologies in computer science and ecology that melds rapidly expanding and diverse data sets with novel ecosystem models. Embedding CDI technologies in GLEON not only delivers the power of cyber infrastructure to lake scientists but empowers lake scientists to guide the rapid evolution of those technologies toward their needs. We believe the results will be new technologies that enable new science and a generation of ecologists who better understand the potential of computational thinking and how to realize that potential toward their scientific goals.

Building analytical, synthesis, and human network skills needed for macrosystem science: a next generation graduate student training model based onGLEON


GLEON DIBBs - Building international data sharing capacity in lake sciences

In this project we collaborate with other groups invested in the area of environmental observations data management and develop a design and implementation plan for a data publishing and sharing system that will address not only GLEON’s needs but also those of environmental research communities that find themselves in a similar place along the outlined data management continuum, of which there is a growing number. We will leverage GLEON’s experience, organizational structure, community trust, and recognized need for data sharing, Our approach will be primarily based on deploying and testing technology components created by CUAHSI, DataONE, LTER, and DataTurbine in a prototype setting and to assess their applicability in the GLEON community through targeted focus groups.

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