试论机器学习在社会科学研究中的应用——以老年幸福感差异化预测模型为例  

On the Application of Machine Learning in Social Science Research——Taking the Differential Prediction Model of Elderly Happiness as an Example

作　　者：靳思琦 刘丽敏 JIN Siqi;LIU Limin(School of Law,Jianghan University,Wuhan 430056,China)

机构地区：[1]江汉大学法学院,武汉430056

出　　处：《高科技与产业化》2025年第3期57-59,共3页High-Technology & Commercialization

基　　金：2024年国家级大学生创新训练项目“校社联动:高校志愿队伍嵌入社区养老服务的机制研究”(202411072018)。

摘　　要：习近平总书记在十九届中共中央政治局第二次集体学习时的重要讲话中指出:“大数据是信息化发展的新阶段”,并做出了“推动大数据技术产业创新发展、构建以数据为关键要素的数字经济、运用大数据提升国家治理现代化水平、运用大数据促进保障和改善民生、切实保障国家数据安全”的战略部署。近年来,基于统计理论的智能计算方法出现,机器学习、人工智能的概念热潮席卷了学术界和产业界。本研究旨在以老年幸福感差异化预测模型为例,探究机器学习在社会科学研究中应用的可行性,并分析在实际案例中机器学习方法的特征和应用情景,为后续研究工作提供参考。General Secretary Xi Jinping pointed out in his important speech at the second collective study session of the 19th Central Committee of the Communist Party of China that“big data is a new stage of information technology development”,and made strategic arrangements to“promote the innovative development of big data technology industry,build a digital economy with data as the key element,use big data to enhance the modernization level of national governance,use big data to promote the guarantee and improvement of people's livelihood,and effectively guarantee national data security”.This study aims to explore the feasibility of applying machine learning in social science research using a differentiated prediction model for elderly happiness as an example,and analyze the characteristics and application scenarios of machine learning methods in practical cases.

关 键 词：老年群体 机器学习 逻辑回归 幸福感 

分 类 号：C913.6[经济管理]