We will focus on the application of network-based measures to explore multi-levels of outcomes of self-organizing principles. Topics will include methods from social network centrality, dynamical systems, stochastic discrete coupled behaviors, and a variety of applications to biological questions including, but not limited to cellular differentiation, tissue pattern formation, swarm behaviors, distributed decision making, and social behaviors. Our discussions will include mechanisms of self-organization, practical constraints on individual-, local-, and global-level emergent outcomes, and implications for possible paths of selective pressures and evolution acting on each level.
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