This thesis investigates the potential for modular forms to be co-designed in collaborative networks, aided by algorithms that optimize their structure. The assertion it explores is whether parts for durable goods can be developed in this way and whether such forms could result in increased reuse and decreased disposal. Stakeholder interviews were conducted among residents of a Detroit neighborhood and solutions were generated to address needs assessed in those interviews. Peer production was explored as a potential avenue for sustaining self-organization among the users of those solutions. Evolutionary Structural Optimization was researched as a form-finding method for the design of modular parts and a novel approach to Evolutionary Structural Optimization was developed by the author. Parts that are modeled by the algorithm have been rendered as visual examples throughout.