Participatory Visualisation & Assessment of Risks: A Crowdsourcing Approach

参与式可视化

• 批准号: LP150100175
• 负责人: Prof Marcus Foth
• 金额: --
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2016
• 资助国家: 澳大利亚
• 起止时间: 2016-09-30 至 2016-11-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP150100175
• 关键词: Participatory; Visualisation; Assessment; Risks; Crowdsourcing

The aim of this study is to develop and evaluate innovative interaction and visualisation approaches that allow the insurance sector to include social media and crowdsourced data in risk identification and assessment. This data, combined with traditional risk assessment information, offers time-critical insights into emerging hazards and threats. The study aims to deliver methods and tools to crowdsource data from contributors through sensing and active sharing, as well as novel interaction and visualisation approaches to aid in the analysis of the resulting data. The project intends to benefit both the insurers and the insured by making non-traditional data sources available for risk assessment and prevention.

本研究的目的是开发和评估创新的交互和可视化方法，使保险行业能够将社交媒体和众包数据纳入风险识别和评估中。这些数据与传统的风险评估信息相结合，可以提供对新出现的危险和威胁的关键时间洞察。该研究旨在通过感知和主动共享提供从贡献者那里众包数据的方法和工具，以及新颖的交互和可视化方法来帮助分析结果数据。该项目旨在通过提供非传统数据源进行风险评估和预防，使保险公司和被保险人受益。