The Mathematics of Self-Organizing Networks in Life Sciences and Beyond

We will discuss the development of novel methods in self-organizing networks with extension into higher-order structures. We will consider applications ranging from economic epidemiology and public health to identifying efficient team structures for scientific discovery to exploring how to provide effective social services to communities who rely on an unsustainable industry to enable healthy transitions. Both computational and analytic tools will be presented, but we will avoid deep discussion of mathematical technique in favor of surveying what such methods can enable, leaving the details for fun follow-on discussions together in the future. 

Bio
https://feffermanlab.org/