Presentation Abstract
The Washington State Department of Ecology is developing a quantitative model to evaluate risk of oil spills in Washington waters. The model provides a long-term resource for evaluating oil spill policy and oil spill risks in Washington waters. To do so, it must produce understandable and accessible information for effective decision-making support and characterize risk in a way that addresses the concerns of tribes and stakeholders. Guided by the analytic-deliberative process recommended by the National Research Council, our team approached model development with a focus on collaboration and empirical rigor. Between the summer of 2020 and fall of 2021, we held 22 public events on model development topics, while simultaneously researching and developing a model framework. This approach brought community perspectives and values to the table, and informed our decisions on key structural aspects of the model. The analytic-deliberative process provided a framework for integrating feedback from tribes and stakeholders. Our open-ended approach to outreach helped us establish the structure and underpinnings of the model. However, it also limited our ability to provide timely opportunities for feedback on some details of the model. This presentation will cover our approach to consulting with Tribes, our outreach with stakeholders, survey results from participants, and lessons learned from our process. We will present statistics on participation levels over the course of outreach, most discussed topics, and how feedback informed model structure. We will discuss how the lessons from this process are informing outreach planning for the first two analysis projects we will conduct using the quantitative oil spill risk model.
Session Title
Collaboration and Community Science
Conference Track
SSE6: Human-Nature Systems
Conference Name
Salish Sea Ecosystem Conference (2022 : Online)
Document Type
Event
SSEC Identifier
SSE-traditionals-56
Start Date
28-4-2022 10:15 AM
End Date
28-4-2022 11:45 AM
Rights
Copying of this document in whole or in part is allowable only for scholarly purposes. It is understood, however, that any copying or publication of this document for commercial purposes, or for financial gain, shall not be allowed without the author's written permission.
Type
Text
Language
English
A Collaborative Approach to Developing a Model for Oil Spill Policy Decision Support: Building a better model while learning together
The Washington State Department of Ecology is developing a quantitative model to evaluate risk of oil spills in Washington waters. The model provides a long-term resource for evaluating oil spill policy and oil spill risks in Washington waters. To do so, it must produce understandable and accessible information for effective decision-making support and characterize risk in a way that addresses the concerns of tribes and stakeholders. Guided by the analytic-deliberative process recommended by the National Research Council, our team approached model development with a focus on collaboration and empirical rigor. Between the summer of 2020 and fall of 2021, we held 22 public events on model development topics, while simultaneously researching and developing a model framework. This approach brought community perspectives and values to the table, and informed our decisions on key structural aspects of the model. The analytic-deliberative process provided a framework for integrating feedback from tribes and stakeholders. Our open-ended approach to outreach helped us establish the structure and underpinnings of the model. However, it also limited our ability to provide timely opportunities for feedback on some details of the model. This presentation will cover our approach to consulting with Tribes, our outreach with stakeholders, survey results from participants, and lessons learned from our process. We will present statistics on participation levels over the course of outreach, most discussed topics, and how feedback informed model structure. We will discuss how the lessons from this process are informing outreach planning for the first two analysis projects we will conduct using the quantitative oil spill risk model.
