Social Values Relative to Wind Energy
CSS assisted in the assessment of social values related to understanding and support of offshore wind energy sitings off North and South Carolina.
Social Values Relative to Wind Energy:
In support of BOEM’s Office of Renewable Energy Programs, CSS social scientists collaborated with NOAA, the University of North Carolina-Chapel Hill to assess the social values of residents living near the Outer Continental Shelf offshore of North Carolina. The study provides BOEM and NOAA with an enhanced understanding for siting of offshore wind energy areas and the likelihood of local engagement in social action to support or oppose renewable energy projects. We used surveys to document the importance of coastal areas to residents and assess community perception of how wind energy development may benefit or detract from the region. Our staff conducted spatial analyses of demographic data to inform sampling design; contributed to survey design; developed communications plans; and helped lead project
Expert Guidance to EPA’s Consequence Management Advisory Division
Technical Support for EPA’s Consequence Management Advisory Division (CMAD) – CSS provides expert technical guidance and field support related to chemical, biological, radiological, and nuclear (CBRN) decontamination.
Seafloor Substrate Mapping and Model Validation of Offshore Wind Sites
CSS supported developing a comprehensive seafloor characterization in support of a $3 billion offshore wind energy project in the coastal waters of New York.
IT Security Support for NOAA’s National Marine Fisheries Service (NMFS) Office of Science and Technology (OST).
CSS provided information systems security officer and engineer support to NOAA’s National Marine Fisheries Service (NMFS) Office of Science and Technology (OST). CSS provided the following support for this Project: audited information systems and applications, developed a security program, implemented a successful system and application change control process, developed and implemented data extraction policies and…
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