Cyberinfrastructure

Accepting Applications: Three Summer Short Courses

The National Socio-Environmental Synthesis Center (SESYNC), located in Annapolis, MD, invites applications for three summer short courses in Bayesian modeling, spatial agent-based modeling, and social network analysis. 

Bayesian Modeling for Socio-Environmental Data

Application Deadline: March 15, 2018

New Video About Wildfire & Salience

SESYNC’s series of documentaries, Research In Action, explores stories of socio-environmental research teams studying wildfire, reforestation, and water governance in the U.S. and beyond.

Accepting Applications: Introduction to Spatial Agent-Based Modeling: June 2018

This 5-day short course will serve as an introduction to the theory and practice of spatially-explicit agent-based modeling (ABM). You will learn the essential theoretical background and technical expertise needed to conceptualize, build, and analyze your first ABM. This course will guide you through the basic phases of the ABM research process: formulating a research question, specifying a model, creating a simulation and interpreting the output.

Accepting Applications: Bayesian Modeling for Socio-Environmental Data 2018

 

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.

Pages

Subscribe to RSS - Cyberinfrastructure