利用开源大数据的社会工作实时评估方法

鉴于目前社会工作评估评价方面的学术研究还较薄弱,存在无针对性指标体系,现有相关评比周期长、成本高等突出问题,探索构建了利用互联网开源大数据的实时定量评估模型,建立了针对性指标体系,提出评分快速计算方法,并设计实现原型软件。针对选定的社会工作进行案例实证,通过采集某省14个市州的互联网真实数据来评估其工作力度,结果与多位受访者的主观感受及相关官方评估基本相符,验证了所提模型的有效性和合理性。

Real-time evaluation method of the progress of social work using open-source big data

Few quantitative models can be found amenable to the quantitative evaluation of social work, which motivates the presented work. Moreover, a few related existing works suffer from no suitable indicator system and high expenses of time and money. To overcome these limitations, a real-time quantitative evaluation model using the Internet open-source big data was developed, a target indicator system was established, the rapid computation methods of each criterion were proposed, and a prototypical software system was designed and implemented. Case studies on selected social work were conducted, and the work performance of the 14 cities belonging to a certain province in China was evaluated. Results achieved were largely consistent with the subjective feelings of many respondents and relevant official assessment, which validated the efficiency and rationality of the proposed model.