When using the archeological past to examine sustainability, humans provide key functions in environments they inhabit.
The absence of humans in a landscape can have dramatic effects. Removing them from ecosystems can allow forests to advance, for example, but it can also cause human-dependent species to become extinct.
Applications will open in early-March
SESYNC invites applications to a short course on data and coding skills for socio-environmental synthesis. Applications due April 19, 2019.
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.
Assistant Research Scientist – Data Science
Deadline: January 14, 2019
To apply: sesync.us/datasci