Bayesian Modeling for Socio-Environmental Data The National Socio-Environmental Synthesis Center (SESYNC) will host a nine-day short course August 15 - 25, 2017 covering basic principles of using Bayesian models to gain insight from data. The goals of the course are to:
* Provide a principles-based understanding of Bayesian methods needed to train students, evaluate papers and proposals, and solve research problems. * Communicate the statistical concepts and vocabulary needed to foster collaboration between ecologists, social scientists, and statisticians. * Provide the conceptual foundations and quantitative confidence needed for self-teaching modern analytical methods. All participants must be proficient users of R and be able to bring a laptop to each class meeting. Apply for this short course by May 26 (FRIDAY!) on SESYNC's webpage: sesync.us/bayes<http://sesync.us/bayes> Emily S. Cassidy Science Communications Coordinator National Socio-Environmental Synthesis Center (SESYNC) University of Maryland Email: ecass...@sesync.org<mailto:ecass...@sesync.org> Phone: 410-919-4990
