Knowledge Bases and Innovation Clusters Arthur Harkins Innovation Studies Program University of Minnesota Innovation Clusters • Geographical and/or virtual cohorts of individuals and organizations… • Driven by knowledge creation, especially tacit-to- explicit. • Intent on producing innovational prototypes from new knowledge • Multi-institutional but heavily supported by revitalized higher education and K-12. Collaborating Knowledge and Innovation Clusters • Knowledge is applied meaning. • Knowledge applications must be innovational to acquire and sustain leadership. • Geographic centers are necessary but not sufficient for knowledge/Innovation Clusters. • Higher education can play a revitalized role in knowledge/Innovation Cluster development, maintenance, and growth. Opportunities • Bringing tacit knowledge out of individuals and into society as explicit knowledge. • Converting explicit knowledge to personal, social, and other forms of capital through innovative pilot projects. • Reengineering higher education to support these processes. Policy Steps • Shift to a strategic, exploratory and developmental mission in higher education classes and seminars. • Shift to a reclamation of higher education intellectual leadership; cascade this to pre-K through 12. Outcomes • Recognition and practical uses of deliberately enhanced diversity. • Creation of lifelong innovation, based on lifelong knowledge creation and application. • Creation of multiple institutional collaborations including, but widely beyond, education. • Creation of the world’s first knowledge-based Innovation Society. Important Point • Little of what has been suggested in regard to Innovation Clusters can be accomplished on a global leadership scale without recognizing, developing, supporting, and applying tacit human knowledge within social contexts.
Pages to are hidden for
"Knowledge Bases and Innovation Clusters"Please download to view full document