The use of big data for social policy: benefits and risks

大数据在社会政策中的应用：好处和风险

• 批准号: LA170100011
• 负责人: Prof Janet Chan
• 金额: $ 11.48万
• 依托单位: Academy of the Social Sciences in Australia
• 依托单位国家: 澳大利亚
• 项目类别: Learned Academies Special Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-07-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LA170100011
• 关键词: use; big; data; social; policy

This project aims to investigate the benefits and risks of using ‘big data’ and analytics for social policy. Drawing on documentary sources and interviews with experts and stakeholders, the project will use five case studies to examine the capability, underlying assumptions and possible impacts of such techniques. The project will bring together a multi-disciplinary team of social and data scientists to identify the infrastructural, technical, and social, ethical and legal issues that need to be addressed. The project will define key issues for future research, promote collaboration between the social sciences and big data disciplines, while creating opportunities for building capability for researchers in the social sciences.

该项目旨在调查使用“大数据”和分析来制定社会政策的好处和风险。根据文献资料以及对专家和利益攸关方的采访，该项目将使用五个案例研究来审查这种技术的能力、基本假设和可能产生的影响。该项目将汇集一个由社会和数据科学家组成的多学科团队，以确定需要解决的基础设施、技术和社会、伦理和法律问题。该项目将确定未来研究的关键问题，促进社会科学和大数据学科之间的合作，同时为社会科学研究人员的能力建设创造机会。