AMS/NOAA Cooperative Program for Earth System Education (CPESE)
The American Meteorological Society (AMS) and National Oceanic and Atmospheric Administration (NOAA) work together to share knowledge and information about weather and climate, ocean, and coasts with educators and students across the country. The goal of this effort is to build a scientifically informed and engaged society and a diverse STEM workforce prepared to respond to environmental hazards. AMS facilitates a national offering of the DataStreme Atmosphere and DataStreme Ocean courses and supports Project ATMOSPHERE leadership training workshops at the National Weather Service Training Center for in-service K-12 educators, with focus on those at schools with considerable numbers of students underrepresented in STEM. By 2023, about 2,100 educators will earn graduate credits through a partnership with California University of Pennsylvania and become confident Earth science educators. These educators are expected to impact more than 20,000 additional educators and several hundred thousand K-12 students.
Community Resilience Informed by Science and Experience (C-RISE)
Coastal rural communities have deep cultural connections to and rely heavily upon the marine environment and economy. Due to their remoteness, isolation from central planning agencies, and lack of financial and municipal resources, they are highly vulnerable to climate impacts such as sea level rise. The Gulf of Maine Research Institute (GMRI) and key project partners, Upswell and the Island Institute, will develop, convene and facilitate regional trainings by which Maine’s rural coastal communities can increase their capacity to plan and prepare for coastal climate impacts by developing the knowledge, skills, and relationships necessary to create data- and community-informed climate resilience plans. Cornerstone to the regional trainings is an engagement tool that builds common knowledge, incorporates diverse community value and voice, provides a framework for community planning and decision making, and builds relationships amongst participants. These trainings will also leverage and engage resilience professionals in Maine to share and represent their resources as communities apply those to their newly acquired skills and frameworks for community planning and decision making. Community leaders from the regional trainings will continue their learning through participation in a professional learning community. We will also leverage GMRI’s prior NOAA Environmental Literacy Grant, titled “Community Resilience Informed by Science and Experience (C-RISE),” to deliver community education programming that builds the capacity of residents in coastal communities to support resiliency planning and adaptation actions by providing participants with knowledge of and access to local sea level rise data. This project will serve 20 rural coastal and island communities in Maine through four regional trainings. Each community will select a diverse and equitable representation of 10 stakeholders and community leaders to participate in the trainings. Community education events will be accessible to all residents of each community. These interventions will build community literacy and capacity for developing coastal resilience plans that benefit the social, environmental, and economic health of the community and align with Maine’s Climate Action Plan. An advisory group including representatives from NOAA’s Office for Coastal Management, Maine Sea Grant, Wells National Estuarine Research Reserve, the State of Maine’s Governor’s Office of Policy Innovation and the Future, Maine Geological Survey, Maine Department of Environmental Protection, the Town of Vinalhaven, and the Town of St. George will guide the development and implementation of this project. Researchers at the University of Maine, Orono will evaluate the implementation of the project as well as assess the impact of this project on a communities’ ability to make community-informed climate plans. This project reflects NOAA’s Community Resilience Education Theory of Change, specifically supporting resilience planners and community members to develop trusting relationships focused on their collective environmental literacy through genuine conversations around resilience planning and decision making. With NOAA, we envision communities that have the capability to anticipate, prepare for, respond to, and recover from significant multi-hazard threats with minimum damage to social well-being, the economy, and the environment.
Citizen Science, Civics, and Resilient Communities (CSCRC)
The "Citizen Science, Civics, and Resilient Communities" (CSCRC) education project led by the Museum of Science, Boston in partnership with Arizona State University and Northeastern University will increase resilience to extreme weather and environmental hazards through citizen-created data, local knowledge, and community values. Building upon previous funding from NOAA in which a set of modules were created and used to engage participants in active learning and resilience planning about four natural hazards (heat waves, sea level rise, extreme precipitation, and drought), the museum and its partners will add participatory citizen science activities selected in close collaboration with resilience planners. This new and expanded project will involve diverse groups of participants at 28 U.S. science centers collecting, analyzing, and sharing data relevant to local resilience planners, learning about vulnerabilities through visualizations of geospatial data and deliberative problem-solving, sharing perspectives about resilience strategies and their societal and environmental trade-offs, formulating community resilience plans, and presenting findings and recommendations to resilience planners and publics. The project aims to formulate a theory of action that sustains engagement and increases environmental literacy among participants, contributes citizen-created data, knowledge, and values to resilience planning, and increases capacity among science centers for including publics in resilience planning and data collection.