构建大数据视阈下的哲学社会科学人才评价机制

哲学社会科学人才评价机制是促进哲学社会科学创新发展的基础性工作。当前，我国哲学社会科学人才评价机制存在着较多的现实困境。信息技术的高速发展为哲学社科人才评价产生了较大的影响，尤其是大数据有助于提升人才评价的科学化和规范化、准确性和预测性、透明性和公平性。构建大数据背景下的哲学社会科学人才评价机制，需要以大数据环境对社会科学人才评价的应用价值为立足点，以多元化的评价主体、客观化的评价标准、公正化的评价程序为基本内容，重点解决好“谁来评”“评什么”“怎么评”的问题。同时，通过完善人才评价法律法规、建立人才资源数据开放共享和一体化平台等措施，努力推动人才评价的法治化、科学化、规范化发展。

Constructing a Bigdata-based Talent Evaluation Mechanism for Philosophy and Social Sciences talents

The evaluation mechanism of philosophy and social sciences talents is an important basis for the promotion of the innovative development of philosophy and social sciences. At present， practical difficulties exist in the talent evaluation mechanism of philosophy and social sciences talents in China. The rapid development of information technology especially big data technology has had a great impact on the evaluation of philosophy and social science talents，improving the standardization， accuracy and predictability， transparency and fairness. The big data environment offers a foundation for the innovation of the philosophy and social science talent evaluation mechanism with diversified evaluation subjects， objective evaluation standards and fair evaluation procedures. And the goal of promoting the legalized， scientific and standardized development of talent evaluation is achieved by improving the construction of talent laws and regulations and establishing an open and integrated platform of talent resource data sharing.