Note: This project is part of a larger initiative, in partnership with Resources for the Future, focused on advancing the field of coupled socio-environmental analysis by emphasizing the deeper integration and reconciliation of natural science and economic systems models.
Note: This project is part of a larger initiative, in partnership with Resources for the Future, focused on advancing the field of coupled socio-environmental analysis by emphasizing the deeper integration and reconciliation of natural science and economic systems models.
SESYNC's graduate workshops will build students' capacity for leadership and interdisciplinary and socio-environmental science.
Solutions to pressing environmental problems require understanding connections between human and natural systems. Analysis of these systems requires a model that can deal with complexity, is able to exploit data from multiple sources, and is honest about the uncertainty from multiple sources. Synthesis of results from multiple studies is often required. Bayesian hierarchical models provide a powerful approach to analysis of socio-environmental problems.
Postdoctoral Fellowship Program immerses fellows in foundational theories of other disciplines.
Looking to lessons from the past to inform the future
Cities face increasing threats to water supplies, but how can they transition towards more sustainable water management? Rapid urbanization, population growth, regulatory frameworks, and multiple competing demands combine to complicate the ability for urban water managers to guarantee future water supplies.
