National Science Library, Chinese Academy of Sciences, Beijing 100190, China Department of Library, Information and Archives Management, University of Chinese Academy of Sciences, Beijing 100190, China
[Objective] This paper proposes a talent evaluation model with multi-dimensional indicators, as well as diversified standards and subjects. [Methods] We designed quantitative indicators from the perspectives of academic contribution and research potential based on scholarly achievements, research projects, peer cooperation, and practical applications. [Results] The proposed model could combine indicators and adjust their weights. We also designed a data-driven procedures for the multi-agent participated model. [Limitations] This research is still in the theoretical development stage and requires more experiment with large-scale data. [Conclusions] Our model provides multi-dimensional portraits and evaluation methods for talents, which improves the evaluation mechanism and creates an academic ecosystem for innovation.
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