大数据驱动的社会工作:前景与挑战

发布时间：2018-05-12 20:07

本文选题：大数据 + 社会工作　；参考：《社会科学》2017年07期

【摘要】："大数据"使得社会科学研究出现新的范式,多方面的驱动力促使社会工作学科必须积极探索该领域,即如何充分利用大数据更高效地输送专业社会服务,更精准地倡导合理的社会政策。大数据驱动的社会工作就其前景而言,主要体现在:在社会工作应用中,大数据能够实时获取、更新真实的人类行为数据,从而避免了数据收集过程中对被试主观报告的依赖;为风险人群的评估和危机干预提供了高效、准确的技术手段;对服务人群、基本社会服务设施的时空分布能有更精确和直观的把握;也可以为公共政策制定提供证据,值得我们积极探索与创新。当然,大数据的使用也存在着技术、法律、伦理等诸多方面的挑战。
[Abstract]:"big data" has brought about a new paradigm in social science research, and various driving forces have prompted the discipline of social work to actively explore this field, that is, how to make full use of big data to deliver professional social services more efficiently. More precise advocacy of rational social policies. The social work driven by big data is mainly reflected in the following aspects: in the application of social work, big data can acquire and update the real human behavior data in real time, thus avoiding the dependence on the subjective report of the subjects in the process of data collection; It provides efficient and accurate technical means for assessment and crisis intervention of people at risk; can provide a more accurate and intuitive understanding of the spatial and temporal distribution of basic social services facilities in service groups; and can also provide evidence for public policy formulation. It is worth our active exploration and innovation. Of course, there are many challenges in the use of big data, such as technology, law, ethics and so on.
【作者单位】：华东理工大学社会工作系;华东理工大学社会与公共管理学院;
【基金】：国家社科基金重大项目“社会治理背景下我国社会工作行动本土化理论框架与实践体系研究”(项目编号:16ZDA084)的阶段性成果
【分类号】：C916

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