Translational Regional Science, Input/Output Analysis and Community Engagement: New Perspectives for Closing the High Tech—Community Gap

Abstract

In this paper we examine the key components of a relatively new trend in bio and life sciences—translational science—and ponder what is in it that may enhance application of regional science to real world problems. The key in "translational" is a new way of using scientific knowledge including input/output analysis in real world situations, i.e., translating the knowledge into practice so that it can be better understood, embraced and applied to create positive outcomes. We start with a question: what makes "translational" different from a traditional "applied research ?" Unlike a traditional application based on "we deliver—you decide," one of the core characteristics of translational science is achieving a better, more efficient communication between science and real world through an emphasis on two-way communication between science and community. We review similar approaches such as participatory action research (PAR), interactive research in social science (ISS) and the iterative research model—all of which argue for meaningful interactions between research scientists and practitioners. We than asked if there is a need for "translational" regional science and what will the overall improvements/benefits to regional science be. Building on a recently completed project we demonstrate "translation" of academic knowledge to community through community engagement. In particular, we focus on translating the outcomes of input/output modeling to practical application in regional economic development.