Shane’s current projects involve network analytics examining relationships between large datasets of academic papers to assess impact metrics and the evolution of knowledge in the fields of engineering, theoretical biology, and evo-devo in order to improve predictive modeling techniques in research. He is hoping to further implement a complex system approach into historical analysis of research and development, and hopes to facilitate more constructive interactions between private R&D and academia/NPOs with regard to data availability for the purpose of knowledge-based research.