运用大数据理论完善未成年人社会调查制度

Big Data Theoretical Perfect Minors Social Survey System

目前,我国未成年人社会调查制度仍然存在一些不足,主要表现在社会调查內容的来源有限,社会调查的一些内容难以保证客观真实,依据社会调查评估人身危险性的标准不科学等。探索将大数据的思维方式引入到社会调查中来,尝试在社会调查中用全体数据来代替样本数据,运用相关关系来评估人身危险性,以避免因原因数据出现错误而导致评估结果不准确。并且建立相应的数据库和数据评估模型,使未成年人社会调查对人身危险性评估结果更科学。

The Minor Social Survey System in our country has some deficiencies, Which including the contents of a social survey is limited by its source, the truth of some contents is difficult to be guaranteed, and the evaluation criteria of personal danger by a social survey is unscientific. In order to avoid the inaccurate assessment caused by the false data, we should explore using big data in the social investigation theory;try to use all the data to replace the sample data, using the correlation to assess personal danger. In order to make the evaluation of personal danger by the Minor Social Survey System becomes more scientific, the corresponding databases and data evaluation model should be established.