# About ### Klamath Basin Science Collaborative The Science Collaborative uses decision analytic approaches to collaboratively develop objectives related to water resources and ecosystem management in the Klamath Basin, and open and transparent models for understanding and evaluating these objectives. #### Decision Analysis and Coproduction of Knowledge Decision analysis explicitly integrates science and management through a formal, documented, and transparent process. Participants collaboratively develop measurable objectives and evaluate decision alternatives to meet those objectives using quantitative and transparent decision support models. During the first year of the Klamath Basin Science Collaborative, participants will focus their efforts on developing and revising objectives, identifying management alternatives, and developing decision support models. Sensitivity analyses will be used to evaluate uncertainty in the parameters and inputs in decision support models and identify where reducing uncertainty could improve the ability to evaluate management decisions. Models will be iteratively refined and improved by the Collaborative to reduce uncertainty over time.

Diagram of Decision Analysis process

This process will involve the coproduction and integration of knowledge. Establishing linkages between data, decision support models, and management actions will foster knowledge transfer between projects and regions across the Klamath Basin. The fishery and water management systems within the Klamath Basin are dynamic and our understanding of the model parameters used to describe and make predictions about system responses to management alternatives will evolve through an iterative and adaptive process.