Use the filter menu and interactive map to explore the past competitions offered and grants awarded through the Environmental Literacy Program.
To learn more about project findings and outcomes, view the summaries of our grantees’ summative evaluation reports.
- (-) 2010: ELG for Informal/Nonformal Education (1)
- (-) 2008: ELG for Spherical Display Systems for Earth Systems Science-Installations & Content (1)
- 2016: ELG for Community Resilience to Extreme Weather Events and Environmental Hazards (2)
- 2015: ELG for Community Resilience to Extreme Weather Events and Environmental Changes (1)
- 2011/2012: ELG for Formal K-12 Education (1)
- 2010: NOAA Broad Agency Announcement for FY 2010—2011 (1)
- 2007: ELG for Free-choice Learning (1)
- 2006: Environmental Literacy (2)
SOS Ocean-Atmosphere Literacy Partnership
The SOS Ocean-Atmosphere Literacy Partnership is a collaboration among the American Museum of Natural History (AMNH) in New York, NY; Maryland Science Center (MSC) in Baltimore, MD; and Science Museum of Minnesota (SMM) in St. Paul, MN. This collaboration will create two six-minute programs and two 30-minute live presentations for the spherical display systems, including NOAA's Science on a Sphere. The SMM will produce "Ocean-Atmosphere Thermodynamics"; the AMNH will produce, "Tropical Cyclones: Theory, Models, and Observations."
Exploring Earth Systems: Expanding Data Visualization Experiences for Museum Learners
The American Museum of Natural History, in association with several NOAA entities, will be creating a suite of media products employing visualization of Earth-observation data as well as associated professional development programs to expand educational experiences in informal science institutions nationwide. Interactive versions of the visualizations will also be disseminated via the AMNH website. Visualization assets will be distributed to NOAA for utilization on climate.gov and Science on a Sphere. The creation of training programs and educational materials for informal education professionals will enhance the experience and efficacy of the data visualizations as tools to understand and build stewardship of Earth systems.