ARCUS DC Office - 1201 New York Avenue, NW. Fourth Floor. Washington, DC or online for live webinar: 12:00-1:00 p.m. EDT
There is growing realization of the strong interactions between degradation of near-surface permafrost on the dynamics of ecosystems, and that these interactions together influence local and global environmental, economic, and social systems.
The National Science Foundation has made a 5-year, $5.9 million award to a national partnership, led by the National Center for Ecological Analysis and Synthesis (NCEAS) at the University of California Santa Barbara, to develop and curate the NSF Arctic Data Center, a new archive for Arctic scientific data as well as other related research documents. The Arctic Data Center will be assuming operations for ACADIS, and there is a detailed transition plan in place to ensure that data and metadata move over smoothly, and that community support is seamless.
NSF Directorate for Social, Behavioral & Economic Sciences
The goals of the Science of Learning (SL) Program are to: advance fundamental knowledge about learning through integrative research; connect the research to specific scientific, technological, educational, and workforce challenges; and enable research communities to capitalize on new opportunities and discoveries. The program supports projects that emphasize consilience of knowledge, adopting diverse disciplinary approaches to shared research questions. The program seeks to develop robust and integrated accounts of contexts, mechanisms, and effective strategies of learning.
EarthCube is a community-driven activity sponsored through a partnership between the NSF Directorate for Geosciences (GEO) and the Directorate for Computer & Information Science & Engineering (CISE) Division of Advanced Cyberinfrastructure (ACI) to transform research in the academic geosciences community. EarthCube aims to create a well-connected and facile environment to share data and knowledge in an open, transparent, and inclusive manner, thus accelerating our ability to understand and predict the Earth system.
Humanity is reliant upon the physical resources and natural systems of the Earth for the provision of food, energy, and water. It is becoming imperative that we determine how society can best integrate across the natural and built environments to provide for a growing demand for food, water and energy while maintaining appropriate ecosystem services. Factors contributing to stresses in the food, energy, and water (FEW) systems include increasing regional and social pressures and governance issues as result of land use change, climate variability, and heterogeneous resource distribution.
Save the date for Arctic Science Summit Week 2016 (ASSW) and the Arctic Observing Summit (AOS): 12-18 March 2016 in Fairbanks, Alaska, USA.
The University of Alaska Fairbanks invites you to share your scientific accomplishments and join in the spirit of collaboration toward improving the coordination of Arctic research. Hundreds of scientists and policymakers from around the world will be in Fairbanks, Alaska, USA for the largest Arctic gathering of its kind in 2016.
The Sea Ice Prediction Network (SIPN) and the Lamont-Doherty Earth Observatory (Lamont) will host a Workshop on Polar Predictability on 4-6 May 2016 at Columbia University, Palisades, New York. This is the third annual workshop on this topic. The first was held in April 2014 in Boulder, Colorado and the second was in April 2015 in Reading, United Kingdom.