32 research outputs found

    The Role of Public Art in Solar Commons Institution-Building: Community Voices from an Essential Partnership among Artists, Community Solar Researchers, and Activists

    Get PDF
    In this urgent decade when American democracy faces the challenge of decarbonizing the U.S. electric grid and assuring that the economic benefits of our energy transition are equitably shared, many solar energy researchers and activists are searching for new ways to partner with the civic sector. Instead of treating energy users as passive customers, experts understand the importance of engaging community as active decision-makers, beneficiaries, and communicators for a just energy transition. Distributed solar technology offers more democratic potential than small savings on individuals’ electric bills. Energy experts working on the Solar CommonsÔ community solar model at the University of Minnesota are piloting demonstration projects with community partners in Arizona and Minnesota. These solar commons aggregate savings through power purchase agreements that create 25-year peer-governed revenue streams to support mutual aid and reparative justice work in neighborhoods. This article describes a Solar Commons research project in Arizona, with a conversation among the public artists who partnered with the legal research team to co-create communication and peer governance tools that will allow DIY Solar Commons to iterate throughout the US as a new institution in our civic sector. Images of the Solar Commons public art demonstrate how the artists helped expand the vision of solar energy from the iconic individual solar panel to a technology embedded in community justice and in a complex human-more-than-human environment

    Alleviating Environmental Health Disparities Through Community Science and Data Integration

    Get PDF
    Environmental contamination is a fundamental determinant of health and well-being, and when the environment is compromised, vulnerabilities are generated. The complex challenges associated with environmental health and food security are influenced by current and emerging political, social, economic, and environmental contexts. To solve these “wicked” dilemmas, disparate public health surveillance efforts are conducted by local, state, and federal agencies. More recently, citizen/community science (CS) monitoring efforts are providing site-specific data. One of the biggest challenges in using these government datasets, let alone incorporating CS data, for a holistic assessment of environmental exposure is data management and interoperability. To facilitate a more holistic perspective and approach to solution generation, we have developed a method to provide a common data model that will allow environmental health researchers working at different scales and research domains to exchange data and ask new questions. We anticipate that this method will help to address environmental health disparities, which are unjust and avoidable, while ensuring CS datasets are ethically integrated to achieve environmental justice. Specifically, we used a transdisciplinary research framework to develop a methodology to integrate CS data with existing governmental environmental monitoring and social attribute data (vulnerability and resilience variables) that span across 10 different federal and state agencies. A key challenge in integrating such different datasets is the lack of widely adopted ontologies for vulnerability and resiliency factors. In addition to following the best practice of submitting new term requests to existing ontologies to fill gaps, we have also created an application ontology, the Superfund Research Project Data Interface Ontology (SRPDIO)

    Southern San Andreas-San Jacinto fault system slip rates estimated from earthquake cycle models constrained by GPS and interferometric synthetic aperture radar observations

    Get PDF
    We use ground geodetic and interferometric synthetic aperture radar satellite observations across the southern San Andreas (SAF)-San Jacinto (SJF) fault systems to constrain their slip rates and the viscosity structure of the lower crust and upper mantle on the basis of periodic earthquake cycle, Maxwell viscoelastic, finite element models. Key questions for this system are the SAF and SJF slip rates, the slip partitioning between the two main branches of the SJF, and the dip of the SAF. The best-fitting models generally have a high-viscosity lower crust (η = 10^(21) Pa s) overlying a lower-viscosity upper mantle (η = 10^(19) Pa s). We find considerable trade-offs between the relative time into the current earthquake cycle of the San Jacinto fault and the upper mantle viscosity. With reasonable assumptions for the relative time in the earthquake cycle, the partition of slip is fairly robust at around 24–26 mm/a for the San Jacinto fault system and 16–18 mm/a for the San Andreas fault. Models for two subprofiles across the SAF-SJF systems suggest that slip may transfer from the western (Coyote Creek) branch to the eastern (Clark-Superstition hills) branch of the SJF from NW to SE. Across the entire system our best-fitting model gives slip rates of 2 ± 3, 12 ± 9, 12 ± 9, and 17 ± 3 mm/a for the Elsinore, Coyote Creek, Clark, and San Andreas faults, respectively, where the large uncertainties in the slip rates for the SJF branches reflect the large uncertainty in the slip rate partitioning within the SJF system
    corecore