Just as machine learning has played a huge role in genomics, there are
many problems in ecological science and ecosystem management that
could be transformed by machine learning. This talk will give an
overview of several research projects at Oregon State University in
this area and discuss the novel machine learning problems that arise.
These include (a) species distribution modeling including
modeling of bird migration from citizen-science data, and (b) design
of optimal policies for managing wildfires and invasive species. The
machine learning challenges explicit models of sampling bias and measurement processes,
dealing with severe sampling bias in citizen-science data,
combining probabilistic graphical models with non-parametric learning
methods, and solution of complex spatial Markov decision processes.