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The Environmental Decision Support Science Lab conducts multi-disciplinary social science research at the intersection of the environment, technology, and society. Strategies and decisions made at this nexus often encounter significant uncertainty about scientific evidence and involve stakeholders with conflicting objectives and values. The goal of our lab is to understand and improve the processes and tools that aid these decisions, both in the public and private sectors.
By focusing on co-production of knowledge with stakeholders, we produce actionable science relevant to climate adaptation and mitigation, coastal resilience, food-energy-water-environment nexus, and water quality. We are most known for our innovative work on participatory indicator design and evaluation.

Synthesis of Multi-Disciplinary Data and Models

Data and models from physical, social, and natural sciences are frequently needed for important decisions. However, they are rarely compatible to be used as is in the same analysis because they were produced for different purposes. Our lab uses synthesis methods to link different data and model types to produce new insights.

Stakeholder Engagement

Actionable science requires understanding stakeholder objectives, preferences, and needs. Engagement processes use scientifically rigorous methods to elicit stakeholder attributes in a way that is transparent and reproducible.

Decision Support

Effectively supporting decisions with science is an active process that requires co-production of information. This involves using scientific methods that are designed to bring stakeholders into the production of knowledge and to structure information so that it is aligned with stakeholder needs.