Applications for the TERENO-NEON carbon and critical zone workshop are due June 10, 2019. The worksop is aimed primarily at early career scientists interested in emerging issues and methods wishing to broaden their knowledge or to identify new research opportunities.
The NCWIT Summit sets the stage for NCWIT member representatives, notable field experts, and renowned guests to present and learn about leading-edge practices, to network and form partnerships, and to provide encouragement and inspiration for one another.
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).
Proposals for the NSF-funded Macrosystems Biology and NEON-Enabled Science are due February 25, 2019.
The Macrosystems Biology and NEON-Enabled Science (MSB-NES): Research on Biological Systems at Regional to Continental Scales program will support quantitative, interdisciplinary, systems-oriented research on biosphere processes and their complex interactions with climate, land use, and invasive species at regional to continental scales as well as training activities to enable groups to conduct Macrosystems Biology and NEON-Enabled Science research.
NCAR and NEON will be hosting a joint, NSF-funded workshop: Predicting life in the Earth system – linking the geosciences and ecology. The workshop’s overarching theme will focus on convergent research between the geosciences and ecology for ecological forecasting and prediction at subseasonal to seasonal, seasonal.
NEON will be at the NSF INCLUDES Conference: Bringing Conversations on Diversity and Inclusion in Data Science to the Environmental Sciences, which is a 3-day conference with the ultimate goal of developing a networked improvement community (i.e., Environmental Data Sciences Inclusion Network) that works to ensure inclusion across environmental data science professions.
