The question of self-organised governance has been of profound importance in the social sciences for thousands of years. It is of ever-increasing importance to computer science, not just for self-organisation of “intelligent agents” in cyber-physical systems, but also in socio-technical systems involving interacting human and computational intelligences. This talk will describe how theories from the social sciences for sustainability, distributive justice and legitimate governance can be formalised in computational logic and used in the self-management of decentralised systems, and will then consider how the codification of this “deep social knowledge” can be transferred back into socio-technical systems which address problems of collective action and public interest, prioritising human values and avoiding power asymmetries. The talk concludes with a discussion of contributive justice and civic dignity: in particular how self-organisation rooted in codified deep social knowledge can help to ensure that all stakeholders, but especially marginalised groups, consider themselves to be worthy participants in the transformation to the Digital Society.