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.
Visitors and Visualizations: Creating Meaningful Experiences with Global Data
This project will establish a new spherical display system exhibit. The Hatfield Marine Science Visitor Center (Newport, Oregon) will acquire and install a 3 ft. Magic Planet as part of a larger interactive data visualization exhibit. Pacific Northwest regional data sets will complement NOAA global data to serve as a model education program. Specific focus areas include coastal climates, hypoxia/dead zones, algal blooms, and/or aquatic invasive species. The Principle Investigator for this project have unique expertise in K-12 education, teacher professional development, curriculum development and evaluation, particularly in free-choice learning environments.
A NOAA Spherical Display System at the Smithsonian National Zoological Park
The Smithsonian National Zoological Park (SNZP) in Washington, DC is integrating the NOAA Science on a Sphere(SOS) spherical display system into SNZP's Amazonia Science Gallery (ASG). The SOS system at ASG will be seen in person by tens of thousands of visitors each year and potentially by millions more through electronic outreach programs. The SOS system will become an integral part of the exhibit and will be used for both informal and formal science education programs at the National Zoo.
Linking Evidence to Explanation in Global Science
The University of California, Berkeley's Lawrence Hall of Science (LHS), in partnership with the Bishop Museum in Honolulu, HI, propose to develop and evaluate curriculum-based content modules for spherical display systems. These modules will combine successful research-driven curriculum materials with the compelling nature of a spherical display to engage and inform museum visitors in the process of observing and interpreting patterns of global climate data.