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|Title:||A community engagement framework using mental modeling : the Seven Mile Island Innovation Lab community engagement pilot—Phase I|
|Authors:||Thorne, Sarah L.|
Kovacs, Daniel C.
Gailani, Joseph Z.
Suedel, Burton C.
|Keywords:||Seven Mile Beach Island (N.J.)--Laboratories|
Communication in science
|Publisher:||Engineer Research and Development Center (U.S.)|
|Series/Report no.:||Technical Report (Engineer Research and Development Center (U.S.)) ; no. ERDC TR-22-12|
|Abstract:||The US Army Corps of Engineers (USACE) engages and collaborates with multiple stakeholders—from agency partners, to public, private, and not-for-profit organizations, to community residents—to develop its dredged-sediment long-term management strategy (LTMS) that expands benefi-cial-use (BU) practices. In spring 2019, USACE collaborated with Decision Partners, the USACE–Philadelphia District Operations Division, The Wetlands Institute, and the Engineering With Nature program leadership to adapt, test, and refine the proven behavioral-science-based processes, methods, and tools based on Decision Partners’ Mental Modeling Insight, or MMI, approach for engaging stakeholders, including community members, as part of the Seven Mile Island Innovation Laboratory (SMIIL) initiative in coastal New Jersey. The team identified key community stakeholders and conducted research to better understand their values, interests, priorities, and preferences regarding wetlands and USACE activities in the Seven Mile Island area and those activities’ effects on wetlands, including protecting the environment, wildlife habitat, aesthetic beauty, maintaining navigability, and supporting coastal resilience. Understanding stakeholder needs, values, interests, priorities, and preferences is key to designing effective engagement strategies for diverse communities for SMIIL and provides a foundation for the community engagement framework currently being developed for application across USACE.|
|Gov't Doc #:||ERDC TR-22-12|
|Rights:||Approved for Public Release; Distribution is Unlimited|
|Size:||41 pages / 2.84 MB|
|Types of Materials:|
|Appears in Collections:||Technical Report|
Files in This Item:
|ERDC TR-22-12.pdf||2.84 MB||Adobe PDF|