CoCoRaHS (The Community Collaborative Rain, Hail and Snow Network) is a citizen science program where thousands of volunteers across the entire country measure and report the amount of precipitation that falls each day in their own neighborhood (see http:www.cocorahs.org). In the next three years CoCoRaHS will use strategies from the "Citizen Science Toolkit" and align activities to the "Essential Principles to Climate Science" to engage thousands more participants in collecting, reporting and exploring precipitation. Evapotranspiration measurements will be added to better teach and demonstrate the hydrologic cycle in action. Through strong NOAA partnerships with the National Weather Service, the National Climatic Data Center, the Earth Systems Research Lab and the National Operational Hydrologic Remote Sensing Center, precipitation data quality and accessibility for professional users will be enhanced. The CoCoRaHS network will be constructing training, data entry and visualization tools utilizing Web 2.0 concepts, cyberlearning tools and hand-held device applications with a goal of increasing participation and expanding the current volunteer network into broader, younger, more diverse and more interactive audiences.
The Community Collaborative Rain, Hail and Snow (CoCoRaHS) network is an existing backyard citizen science project that is enhancing the research efforts of scientists and promoting climate literacy among the public by engaging volunteers in precipitation-monitoring activities. More than 14,000 volunteer citizen scientists of all ages in 50 states currently measure precipitation from their homes, schools, public areas and businesses using rain gauges, snow rulers and hail pads, and then post their data to the CoCoRaHS website. Building on this work, the current Broad Implementation project is enhancing CoCoRaHS' network and making it possible for more people from across the country to monitor precipitation. The enhancements include (1) installing a new generation of data entry, storage, management, analysis and visualization tools, (2) collecting evapo-transpiration data to improve scientists' water cycle models, (3) revising and creating new citizen science training materials (print and multimedia), (4) expanding national collaboration and outreach via integration of social networking and mobile device technologies, and (5) developing a standards-aligned K-12 education outreach component that has a national reach. Citizen scientists are being equipped and trained to be neighborhood climate data analysts and are provided with new tools for data analysis and inquiry learning. The enhancements will allow new collaborations between museums and science centers, targeted outreach to underserved audiences, and recruitment of thousands of new volunteers for the CoCoRaHS network. Through a partnership with the National Association of Conservation Districts, the project will conduct educational outreach to all 3,140 counties in the country. Anticipated results include increased numbers of people, particularly younger people, participating in precipitation-monitoring activities, and increased participant knowledge, skills, interest, and involvement in climate science and scientific inquiry. Building the project's capacity to involve 20,000-50,000 more volunteers across nation will increase the density of precipitation-monitoring stations, providing scientists with higher quality weather data.
The Jackprot is a didactic slot machine simulation that illustrates how mutation rate coupled with natural selection can interact to generate highly specialized proteins. Conceptualized by Guillermo Paz-y-Miño C., Avelina Espinosa, and Chunyan Y. Bai (New England Center for the Public Understanding of Science, Roger Williams University and the University of Massachusetts, Dartmouth), the Jackprot uses simplified slot-machine probability principles to demonstrate how mutation rate coupled with natural selection suffice to explain the origin and evolution of highly specialized proteins. The
The University of California-Davis and its collaborators are identifying and testing strategies for implementing a model citizen science program that links the statewide Master Naturalist program with local citizen science projects that engage the public in environmental scientific research. The goals of the project are to develop a mechanism for broadening the reach of master naturalist and citizen science programs, and measure the impact of these programs on participants' science learning and environmental stewardship behavior. The project is (1) implementing strategies for engaging underserved audiences (young adults and communities of color) and enhancing learning for seniors in the California Naturalist program, (2) developing and testing a citizen science training module, (3) establishing two regional volunteer naturalist networks in Northern California that have links to local citizen science projects, and (4) developing web tools for use by program providers and naturalists to connect to projects and promote science learning. Project deliverables include training sessions, support services, network coordination, web tools, research on impacts on science learning, and participant tracking. By bringing together young and older adults to learn together, merging these audiences will result in the formation of a diverse corps of citizen naturalists who participate in ecological monitoring of local natural areas and conduct land stewardship activities. The project's findings will help program administrators scale-up the approach statewide and across the nation.
The Observatory’s “Education and Outreach” (EDU) capability is designed to facilitate the interface between the Observatory and communities of users. Ultimately, our goal is to empower people to effectively use NEON data to enable understanding of continental-scale ecological change over time. To ensure that NEON science/data products are accessible to and usable by diverse communities, including scientists, students, educators, citizen scientists, decision-makers and the interested general public, we provide a suite of online data-centric resources/tools, workshops, a variety of courses, internship/research programs for undergraduates, and citizen science projects.