Academic discipline: Innovation policy, public policy, complexity science, data science, sociology

Methods: Graph theory, social network analysis, ethnography

Research question: How and why do communities of innovation form and evolve? 

Description: Agglomeration of scientific participants promotes scientific discovery and dissemination. Building on network analysis of social networks, e.g. in social media, the composition, centrality, and connectedness of innovators and funders can be dynamically defined over technological maturities.

Implications: Understanding the evolution of entities coalescing an innovation trajectory inform the structuring of innovation policies and infrastructure that promote these communities.