Measuring life quality from digital footprints for informed policy decision making

通过数字足迹衡量生活质量，以做出明智的政策决策

• 批准号: 2884749
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2884749
• 关键词: Measuring; life; quality; digital; footprints

This project aims to develop new measures of life quality from digital footprints (i.e., Internet and social media data). It fits nicely with the DCT pathway. It will employ interdisciplinary approaches from psychology, management, and data science to examine the changing nature of data usage and how emerging digital data can help track and monitor policy influence. It will generate new methodologies for mining open social media data, which will help the understanding of the society in social wellbeing inequalities. This can contribute to the strategic roadmap of partner CitizenMe by developing new methodologies for its "next generation human data platform". The digital footprint measures will complement the traditional economic metrics, which will provide a more accurate indication of policy priorities, hence enhancing the strategic policy making process. It will add inputs to the local authorities Leeds City Council's 'Best City of Health and Wellbeing' ambition. This project will also raise awareness about digital data ethics and how digital footprints can be shared and used by regulators, companies, and the public. The supervisors provide their expertise in machine learning and human decision-making for this project. The supervisory team has rich experience in interdisciplinary research combining psychology, management and computer science. Broader relevant collaboration networks maintained by the supervisory team will provide academic visiting opportunities for the student, which will also benefit the research development of this project. This list includes, but is not limited to, Prof Jason Rentfrow at the University of Cambridge for regional personality from social media, Dr Michal Kosinski at Sandford University for digital footprints and human traits, Prof Magda Osman at the University of Cambridge for policy engagement. The host institution, the University of Leeds, will provide training and networks in psychology, decision science, and data analytics for the project research training through relevant research centres such as the Centre for Decision Research, Research Computing Team, and the Leeds Institute for Data Analytics, and also its partnership with the Alan Turing Institute. Additionally, specific training courses on policy engagement will also be offered by the Policy Leeds team will significantly contribute to the nominated student's knowledge and skills in collaborating with other public sectors in the future.

该项目旨在根据数字足迹（即互联网和社交媒体数据）开发新的生活质量衡量标准。它非常适合 DCT 路径。它将采用心理学、管理学和数据科学的跨学科方法来研究数据使用的不断变化的性质，以及新兴的数字数据如何帮助跟踪和监控政策影响。它将产生挖掘开放社交媒体数据的新方法，这将有助于了解社会对社会福祉不平等的理解。通过为其“下一代人类数据平台”开发新方法，这可以为合作伙伴 CitizenMe 的战略路线图做出贡献。数字足迹指标将补充传统的经济指标，从而更准确地指示政策优先事项，从而加强战略政策制定过程。它将为地方当局利兹市议会的“最佳健康和福祉城市”目标增添投入。该项目还将提高人们对数字数据道德以及监管机构、公司和公众如何共享和使用数字足迹的认识。主管们为该项目提供了机器学习和人类决策方面的专业知识。导师团队具有丰富的心理学、管理学和计算机科学交叉学科研究经验。导师团队维护的更广泛的相关合作网络将为学生提供学术访问的机会，这也将有利于本项目的研究发展。该名单包括但不限于剑桥大学的 Jason Rentfrow 教授（负责社交媒体的区域个性）、桑福德大学的 Michal Kosinski 博士（负责数字足迹和人类特征）、剑桥大学的 Magda Osman 教授（负责政策参与）。主办机构利兹大学将通过决策研究中心、研究计算团队和利兹数据研究所等相关研究中心为项目研究培训提供心理学、决策科学和数据分析方面的培训和网络Analytics，以及与艾伦图灵研究所的合作伙伴关系。此外，政策利兹团队还将提供有关政策参与的具体培训课程，这将大大有助于提高提名学生未来与其他公共部门合作的知识和技能。