With this Dear Colleague Letter (DCL), the National Science Foundation's (NSF) Division of Biological Infrastructure (DBI) and Division of Environmental Biology (DEB) within the Directorate for Biological Sciences (BIO) announce an intent to support Research Coordination Networks (RCNs, NSF 17-594) to coordinate new and existing groups of scientists conducting research enabled by the National Ecological Observatory Network (NEON).
NCAR and NEON will be hosting a joint, NSF-funded workshop: Predicting life in the Earth system 鈥� linking the geosciences and ecology. The workshop鈥檚 overarching theme will focus on convergent research between the geosciences and ecology for ecological forecasting and prediction at subseasonal to seasonal, seasonal.
This conference will facilitate development of the Environmental Data Science Inclusion Network (EDSIN). The application deadline to attend October 1, 2018.
The deadline for ESA 2018 abstracts is February 22, 2018 at 5pm EST. The themes for this year's meeting include: extreme events, ecosystem resilience and human well-being
This unique networking and professional development opportunity is geared towards faculty interested in implementing or adapting existing NEON teaching materials to their educational settings.
The National Socio-Environmental Synthesis Center (SESYNC) will host a nine-day short course August 15 - 25, 2017 covering basic principles of using Bayesian models to gain insight from data.
The 2017 Data Institute in Remote Sensing with Reproducible Workflows provides a unique opportunity for participants to gain hands-on experience working with open data using well-documented reproducible methods.
Topographic, Geomorphic, And Vegetation Analysis With Lidar is a NSF/NEON workshop taught by OpenTopography and NEON lidar experts will consist of lectures and labs on topographic, geomorphic, and vegetation analysis with lidar point clouds and derived products. The course will utilize NEON data and attendees will have the opportunity to bring their own datasets for analysis.
