Topic: Conservation

This meeting critically examines whether ecological forecasting can become accurate enough for conservation and biodiversity management. Demographic and ecosystem models, observations, statistical inference and machine learning address interacting species under climate and other pressures. Terrestrial, marine and polar examples explore predictability limits, uncertainty, model benchmarking and research-informed decisions. Programme participants include Emily G Simmonds (University of Edinburgh, UK); Benjamin Planque (Institute of Marine Research, Norway); Michael Dietze (Boston University, US

Across evolution and, in particular, in brain evolutionary development we can observe how diverse adaptive biological mechanisms are displayed as a solution to environmental demands. In this talk, I will discuss some examples of emerging evolutionary developmental strategies allowing to increase brain computational capacities and how neurodevelopmental conservation, divergence, and convergence would inspire AI systems optimization.