Development of an Intelligent Risk Management Strategy

制定智能风险管理策略

• 批准号: 556341-2020
• 负责人: Gadsden, StephenAndrew
• 金额: $ 1.46万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=706217
• 关键词: Development; Intelligent; Risk; Management; Strategy

The proposed research project includes a partnership between the Intelligent Control and Estimation (ICE) Laboratory (Dr. Gadsden) at the University of Guelph (UofG, Guelph, Ontario) and Minetell (Toronto, Ontario). The primary goal of the collaborative research partnership is to develop an intelligent risk management system that is accurate and reliable, and can be implemented in a variety of workplaces. The proposed system streamlines the management of high consequence risks and associated critical controls using artificial intelligence (AI) strategies and estimation methods. These critical controls are used to define the level of acceptable risk and allows for a business to predict risk as well as prioritize and manage challenging workplace environments. The majority of Minetell's clients are in the mining and gas industry, however the resulting system will be scalable to other industries. The ability to accurately estimate, predict, and mitigate risk in this industry has substantial economic impact to Canada. The potential outcomes and impacts include: 1) development of an intelligent risk management system; 2) development of new artificial intelligence (AI) strategies; 3) reduction of risk exposure in a globally competitive market; 4) knowledge transfer activities to other industries; and, 5) training of HQP in AI and data science.

拟议的研究项目包括Guelph大学(UofG，Guelph，安大略省)的智能控制和估计(ICE)实验室(Gadsden博士)和Minetell(安大略省多伦多)之间的伙伴关系。合作研究伙伴关系的主要目标是开发一种准确可靠、可在各种工作场所实施的智能风险管理系统。拟议的系统使用人工智能(AI)战略和估计方法简化了对高后果风险和相关关键控制的管理。这些关键控制用于定义可接受的风险水平，并允许企业预测风险以及确定和管理具有挑战性的工作场所环境的优先顺序。Minetell的大多数客户都在采矿和天然气行业，但由此产生的系统将可扩展到其他行业。准确估计、预测和缓解该行业风险的能力对加拿大具有重大的经济影响。潜在的结果和影响包括：1)开发智能风险管理系统；2)开发新的人工智能(AI)战略；3)减少全球竞争市场中的风险敞口；4)向其他行业转移知识；以及5)培训HQP的人工智能和数据科学。