报告嘉宾：

刘兆艳，中国知网经济社会大数据事业部高级讲师，致力于经济社会大数据的挖掘分析与融合应用探索研究。已为全国百余家高校、科研机构、政府单位，进行了统计数据的应用培训服务，如清华大学、中央财经大学、南开大学、国家图书馆、中国社会科学院等。在培训工作中能够根据具体应用场景生动讲解统计数据的挖掘分析与应用，助力广大师生与研究人员高效学习与科研创新。

报告题目：高效支持中国经济社会研究的大数据分析与利用

报告摘要：

数据是数字经济时代的核心竞争要素，渗透在各个行业和领域，而对数据科学、高效的运用可以让研究事半功倍。本次讲座基于统计数据进行研究，利用新方法、新技术分析发掘数据潜在价值，对中国经济社会发展相关研究案例进行数据分析，展现数据分析与处理的研究过程。

报告语言：中文

Speaker: 

Zhaoyan Liu is Senior Lecturer of CNKI Economic and Social Big Data Division, devoted to the research on economic and social big data mining analysis and integrated application.  She has provided training on statistical data application for more than 100 universities, scientific research institutes and government units, such as Tsinghua University, Central University of Finance and Economics, Nankai University, National Library of China, Chinese Academy of Social Sciences, etc. Her training facilitates the efficient study and innovative research of teachers, students and researchers by vividly displaying the data analysis and application based on specific scenarios.

Topic: Big Data Analysis and Utilization: Efficiently Supporting China’s Economic and Social Research

Abstract: 

Data is the core competitive factor in the era of digital economy that permeates  all industries and fields. The scientific and efficient application of data can make the research get twice the result with half the effort. This lecture is based on statistical data, using new methods and technologies to analyze and explore the potential value of data, analyzing data of relevant research cases of China’s economic and social development, and showing the research process of data analysis and processing.

Language: Chinese