Data Science

数据科学

• 批准号: CRC-2019-00427
• 负责人: Yi, Grace
• 金额: $ 14.57万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730840
• 关键词: Data; Science

With the rapid advancement of technology in acquiring data, large data sets are becoming more accessible than ever before. However, these data sets present great challenges in extracting useful information for decision making because of issues concerning the quality and complexity of the information. It is imperative to address these issues to generate valid, evidence-based results. This research will develop novel and flexible modeling, estimation and learning tools to handle multi-dimensional data with measurement error and missing observations. Innovative methodology will be developed to advance foundational work and to facilitate scientific applications in public health, medical studies and data science.

随着获取数据技术的快速发展，大型数据集变得比以往任何时候都更容易访问。然而，由于信息的质量和复杂性问题，这些数据集在提取对决策有用的信息方面提出了巨大的挑战。必须解决这些问题，以产生有效的、基于证据的结果。本研究将开发新颖灵活的建模、估计和学习工具，以处理具有测量误差和缺失观测值的多维数据。将开发创新方法，以推进基础工作，并促进公共卫生、医学研究和数据科学方面的科学应用。