基于GERT模型的博士后制度与博士后人才成长耦合研究

Coupled research on postdoctoral system and the growth of post-doctoral fellows based on GERT network model

摘要:

基于随机网络模型(GERT模型)的相关内容,构建博士后人才成长的基准模型,并以南京地区各高校博士后人才成长的实际数据为例进行求解,得出现行博士后制度影响下博士后人才成长的概率为1.9684%。进一步地,构建博士后人才成长对比模型,经计算发现,在更为完善的博士后制度影响下,博士后人才成长的概率提升至2.7808%。并据此提出相关对策建议。

Abstract:

This paper builded benchmark model of post-doctoral fellows’ growth based on GERT network model,and collected the real data of post-doctoral fellows’ growth in Nanjing area to calculate the benchmark model.The result showed that the probability of post-doctoral fellows’ growth was 1.9684%.Meanwhile,this paper builded contrast model of post-doctoral fellows’ growth and calculated the probability of post-doctoral fellows’ growth was 2.7808%.Finally,it provided some related policy.