Toward Multi-Level, Multi-Theoretical Model Portfolios for Scientific Enterprise Workforce Dynamics

Levent Yilmaz ()
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Levent Yilmaz: http://www.eng.auburn.edu/~yilmaz

Journal of Artificial Societies and Social Simulation, 2011, vol. 14, issue 4, 2

Abstract: Development of theoretically sound methods and strategies for informed science and innovation policy analysis is critically important to each nation's ability to benefit from R&D investments. Gaining deeper insight into complex social processes that influence the growth and formation of scientific fields and development over time of a diverse workforce requires a systemic and holistic view. A research agenda for the development of rigorous complex adaptive systems models is examined to facilitate the study of incentives, strategies, mobility, and stability of the science-based innovation ecosystem, while examining implications for the sustainability of a diverse science enterprise.

Keywords: Agent-Based Model; Complexity; Innovation; Science Studies; Diversity (search for similar items in EconPapers)
Date: 2011-10-31
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Persistent link: https://EconPapers.repec.org/RePEc:jas:jasssj:2011-51-2

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