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Photoexcitation of Complex Molecular Systems through Combined FirstPrinciples...
全球变化科学紫荆论坛第439期:基于850hPa相对涡度的热带气旋路径追踪识别方法
Controlling the Structure of Inference and Learning in Neural Networks
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报告题目:
The Measurement Problem of 'The Knowledge-based Economy' and the Triple Helix Model
 报告人:
Loet Leydesdorff
Amsterdam School of Communications Research 
University of Amsterdam
报告时间:
2007-11-28 15:00
报告地点:
公共管理学院302会议室
主办单位:
清华大学中国科技政策研究中心
  简介:

 

 

Curriculum vitae of LEYDESDORFF, Loet

Loet Leydesdorff (Ph.D. Sociology, M.A. Philosophy, and M.Sc. Biochemistry) reads Science and Technology Dynamics at the Amsterdam School of Communications Research (ASCoR) of the University of Amsterdam. He is Honorary Research Fellow at the Virtual Knowledge Studio of the Netherlands Royal Academy of Arts and Sciences and Honorary Fellow of SPRU – Science and Technology Policy Research of the University of Sussex.

He has published extensively in systems theory, social network analysis, scientometrics, and the sociology of innovation. In 2006, he published The Knowledge-Based Economy: Modeled, Measured, Simulated (Boca Rotan, FL: Universal Publishers). Previous monographs are: A Sociological Theory of Communication: The Self-Organization of the Knowledge-Based Society (2001) and The Challenge of Scientometrics: The development, measurement, and self-organization of scientific communications (1995). With Henry Etzkowitz, he initiated a series of workshops, conferences, and special issues about the Triple Helix of University-Industry-Government Relations. He received the Derek de Solla Price Award for Scientometrics and Informatics in 2003 and held "The City of Lausanne" Honor Chair at the School of Economics, Université de Lausanne, in 2005.

 

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