Neuro multiple criteria analysis system for university-industry partnerships

Abstract

The EU RTD stresses the Europe 2020 objective that it “aims to support the development of a strong and sustainable industrial base able to innovate and compete globally”. University-industry partnerships should be sustained for inspiring up-to-date RTD, and industry-driven antecedences should be reinforced. The positioning by these authors had a solid accent on university-industry partnerships over the entire course of the ASCENT project to increase societal resilience to disasters. Collaboration appointments can appear in numerous forms and dimensions (career fairs, business advisors and affiliates, placements, conferences and meetings, project and university initiative support, program improvement, scholar fellowships, joint life cycle collaboration, RTD projects and product/service development). The forms and stages of partnership will fluctuate depending on the micro-, meso- and macro-levels of the environment. A founder of behavioral economics, Nobel Prize laureate Daniel Kahneman, asserts that two categories describe our thinking: fast thinking (first system) and slow thinking (second system). The foundation of the first system consists of emotions, impulses and exaggerated optimism. The first system does not require any great efforts; it operates practically automatically. Meanwhile the second thinking system is slow and analytical with an ability to control behavior and thoughts. Based on this idea, the author of this article developed the Neuro Multiple Criteria Analysis System for University-Industry Partnerships.