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.
The National Socio-Environmental Synthesis Center (SESYNC) requests proposals for collaborative and interdisciplinary team-based research projects under two programs: Pursuits and Workshops
The National Socio-Environmental Synthesis Center (SESYNC) invites applications for the Teaching Socio-Environmental Synthesis with Case Studies short course to be held July 25-28, 2017, at SESYNC in Annapolis, Maryland.
The National Socio-Environmental Synthesis Center (SESYNC) seeks proposals from highly-qualified graduate students interested in conducting team-based Socio-Environmental Synthesis research (i.e. “Graduate Pursuits”).