Conference: New Frontiers in Reliability and Risk Analysis

来自乔治华盛顿大学、乔治敦大学、北卡罗莱纳州立大学、三一学院和香港城市大学的多学科研究人员组成了一个为期两天的“可靠性和风险分析新领域”会议，将于2023年10月13日至14日在乔治华盛顿大学科学与工程大厅举行。会议将重点讨论可靠性和风险分析的现代统计方法，这些方法具有广泛的吸引力，在工程、科学、商业、医学、法律、医疗保健和社会科学等众多学科中都有应用。会议组织者鼓励具有不同背景的早期职业研究人员和来自代表性不足群体的研究人员参与和出席。会议将重点介绍新的应用领域和现代理论发展的主题，如对抗性风险分析，生存分析中的融合学习，可靠性中的大数据，金融风险分析，风险分析中的机器学习，可靠性和风险分析中的深度和强化学习，区块链和可靠性，贝叶斯学习和大数据决策。会议将有重要的全体会议发言人。欲了解更多具体和最新的会议细节，请参阅会议网站：statistics.columbian.gwu.edu/nds2023.This该奖项反映了美国国家科学基金会的法定使命，并通过基金会的智力价值和更广泛的影响审查标准进行评估，认为值得支持。

A group of multidisciplinary researchers from the George Washington University, Georgetown University, North Carolina State University, Trinity College, and City University of Hong Kong have developed a two-day conference in New Frontiers in Reliability and Risk Analysis to be held at the Science and Engineering Hall of the George Washington University on October 13-14, 2023. The conference will focus on modern statistical methodologies of Reliability and Risk Analysis, which have a broad appeal, with applications in a vast array of disciplines such as engineering, science, business, medicine, law, healthcare and the social sciences. The conference organizers encourage participation and attendance by early-career researchers with diverse backgrounds and researchers from underrepresented groups.The conference will be emphasizing presentation of topics on novel application areas and modern theoretical developments such as Adversarial Risk Analysis, Fusion Learning in Survival Analysis, Big Data in Reliability, Financial Risk Analytics, Machine Learning in Risk Analysis, and Deep and Reinforcement Learning in Reliability and Risk Analysis, Block Chains and Reliability, and Bayesian Learning and Decision Making with Big Data. The conference will feature key plenary speakers. For more specific and up to date conference details, interested parties are referred to the conference website: statistics.columbian.gwu.edu/nds2023.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.