Summer Course: Ecological Forecasting July 28th-Aug 2nd, 2019 @ Boston University
As part of the NSF-funded Near-term Ecological Forecasting Initiative this course targets graduate students, post-docs, and early career agency and academic scientists interested in learning about ecological forecasting in a variety of contexts. This course is adapted from the recently published Ecological Forecasting<https://press.princeton.edu/titles/11048.html> book by Dr. Michael Dietze and will highlight iterative forecasting approaches. Topics include Bayesian statistics (simple models, hierarchical Bayes, state-space models, etc); fusing multiple data sources; forecast uncertainty propagation & assessment; iterative data assimilation; machine learning; decision science; and a range of ecological forecasting applications such as phenology, microbiomes, carbon, infectious disease, and aquatic productivity. Applications are due February 15th, 2019. Visit https://ecoforecast.wordpress.com/summer-course/ for information on applying.
