Science Inventory

Digging Deeper: Integrating Multi-Disciplinary Expert Knowledge into Resilient System Decision-Making

Citation:

Frank, J., N. Kristen, L. Tran, T. Barzyk, AND B. Smith. Digging Deeper: Integrating Multi-Disciplinary Expert Knowledge into Resilient System Decision-Making. Carolinas Climate Resilience Conference, Columbia, SC, October 29 - 31, 2018.

Impact/Purpose:

Port Community System: Economy, Environmental Quality, Community Wellness, Energy Use, Port Operations, Disaster Resiliency.

Description:

Resilient decision-making is predicated on the ability to rapidly integrate information across distinct knowledge domains as well as temporal and spatial scales, while balancing uncertainty and competing multi-sector goals that are often advanced in isolation and are dependent on strained resources shared by many. Current leading social norms tend to promote silos of highly specialized expertise and professions, reinforcing the practice of advancing goals and decision-making without consideration of cross-sector impacts. However, increasingly researchers and practitioners are acknowledging the importance of interdisciplinary training and stakeholder engagement in informing the decision process, improving the success of projects, and reducing the occurrence of unintended consequences. Moreover, there’s increased agreement on the value of using systems thinking to evaluate and address complex environmental and social problems. The goal of our work was to identify strategies to engage multi-disciplinary experts and stakeholders in a systems analysis to evaluate how alternative scenarios for port management interact across sectors and contribute to coastal resiliency. Expert-informed system maps were used to construct a decision-analysis model, called Analytic Network Process (ANP). Our ANP port model provides flexibility to conduct systems analysis integrated with expert stakeholder engagement in an accessible manner, even when data or resources are limited, or for systems that are strongly driven by social or qualitative factors. Multi-disciplined experts and stakeholders specific to a region or community can rapidly rank variables to identify key factors and perspectives that drive changes in port resiliency for their community. In this collaborative Connect the Dots session, a brief overview of our ANP port model will be provided, and attendees will have an opportunity to interact with the model by ranking variables related to port resiliency using live polling. Results from the polling will be used to inform and refine our model to further promote resilient coastal management for port communities.

URLs/Downloads:

https://www.cisa.sc.edu/ccrc/   Exit EPA's Web Site

Record Details:

Record Type:DOCUMENT( PRESENTATION/ SLIDE)
Product Published Date:10/31/2018
Record Last Revised:02/20/2019
OMB Category:Other
Record ID: 344152