SFI seeks a program postdoc to play a key role in a project using modern information theory and numerical optimization techniques to analyze social organizations, ranging from modern firms to military organizations to complex chiefdoms to primary states.
The starting point for the project is to identify the “organization” of a social group as the communication network(s) within that group. To begin we will adopt a group-selection perspective, assuming that the social group’s network structure is (approximately) optimal, given the information-processing limitations of the agents within the social group, and the exogenous welfare function of the overall group. We intend to leverage the computational power of neural networks to solve such problems. An expanded description of this project can be found at https://arxiv.org/abs/1702.04449
This project, led by the Santa Fe Institute, is collaboration among archaeologists, economists, and computer scientists. The ideal starting date is the spring of 2018, though that is flexible. The position would last for two years, with possible extensions.