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文章基本信息

  • 标题:Toward Multi-Level, Multi-Theoretical Model Portfolios for Scientific Enterprise Workforce Dynamics
  • 本地全文:下载
  • 作者:Levent Yilmaz
  • 期刊名称:Journal of Artificial Societies and Social Simulation
  • 印刷版ISSN:1460-7425
  • 出版年度:2011
  • 卷号:14
  • 期号:4
  • 页码:1-7
  • DOI:10.18564/jasss.1853
  • 出版社:University of Surrey, Department of Sociology
  • 摘要: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.
  • 关键词:Agent-Based Model; Complexity; Innovation; Science Studies; Diversity
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