Application of statistical physics methods and conceptsto the study of science & technology systems

被引:0
|
作者
Luis A. N. Amaral
P. Gopikrishnan
Kaushik Matia
Vasiliki Plerou
H. E. Stanley
机构
[1] Boston University,Center for Polymer Studies and Department of Physics
[2] Boston College,Department of Physics
来源
Scientometrics | 2001年 / 51卷
关键词
Statistical Physic; Technology System; Informed Decision; Physic Method; Growth Dynamic;
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中图分类号
学科分类号
摘要
We apply methods and concepts of statistical physics to the study of science & technology(S&T) systems. Specifically, our research is motivated by two concepts of fundamentalimportance in modern statistical physics: scaling and universality. We try to identify robust,universal, characteristics of the evolution of S&T systems that can provide guidance to forecastingthe impact of changes in funding. We quantify the production of research in a novel fashioninspired by our previous study of the growth dynamics of business firms. We study the productionof research from the point of view both of inputs (R&D funding) and of outputs (publications andpatents) and find the existence of scaling laws describing the growth of these quantities.We also analyze R&D systems of different countries to test the "universality" of our results.We hypothesize that the proposed methods may be particularly useful for fields of S&T (or forlevels of aggregation) for which either not enough information is available, or for which evolutionis so fast that there is not enough time to collect enough data to make an informed decision.
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页码:9 / 36
页数:27
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