In OC systems we expect flexible affordances that are used in creating innovations characterized by convergence and gen-erativity[36]. For example, an architecture affording knowledge evolution allows anyone to see what knowledge has been col-lectively created. Such transparency may encourage individuals to contribute. Use of knowledge evolution visualization has yielded knowledge exchange. As with Wikipedia, such an affordance may allow individuals who have little time to engage in a process to eventually evolve to a more integrative and comprehensive so-lution[26]. Features and tools like visualization tools or recom-mender systems may yield affordances for evolutionary knowl-edge contribution, or even constraints[22]. Indeed, there might be novel features required to yield evolutionary knowledge creation and innovation that sustain over time. Technology affordances and constraints in OC are quite particular as they often span differ-ent context, systems, and platforms, such as open data environ-ments or science networks like NanoHub.org. In addition, features are not static but change over time as individual’s make changes not just to goods but also features. For example, in NanoHub.orgusers build their own simulation tools, which become a novel ar-tifact for other users to create novel knowledge. Indeed, a deeper understanding and more generalizable evidence on technological affordances and constraints is required to build and advance a re-search community around OC.