Decision Support Hub
Decision Science and Decision Support
Our Center aims to translate basic research into impactful solutions through a transdisciplinary approach. We envision our center as a decision support hub for community groups, policymakers, planners, and engineers working in climate resilience. Our goal is to develop innovative decision modeling, decision support systems design, and community-engaged decision science.
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​Our decision support systems leverage advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Geographic Information Systems (GIS), Agent-Based Modeling, Systems Dynamics, and Decision-Making under Deep Uncertainty. These systems integrate adaptive human behavior, beliefs, and values with environmental and economic data to tackle complex decision-making contexts.
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Effective decision-making in climate resilience also requires a critical approach to problem identification, formulation, and solution. Our methods involve qualitative and quantitative techniques and close collaboration with various stakeholders. We aim to advance the integration of community-knowledge and participatory methods in the use of decision support tools.
Our team includes: Pratyush Bharati (Green Information Systems), Tayo Fabusuyi (AI/ML), Michael Johnson (Community-Engaged Decision Science and Operations Research), Paul Kirshen (Decision making under Deep Uncertainty and Nature-based solutions for Climate adaptation), Georgia Mavrommati (Systems Dynamics and Ecosystem Service Valuation), and Amit Patel (Agent-Based Modeling).
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