Conference: Workshop on Translational Research on Data Heterogeneity

会议：数据异构性转化研究研讨会

• 批准号: 2406154
• 负责人: Xuming He
• 金额: $ 1.6万
• 依托单位: Washington University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2406154&HistoricalAwards=false
• 关键词: Conference; Workshop; Translational; Research; Data

The Workshop on Translational Research on Data Heterogeneity is scheduled to take place at the University of Washington at St. Louis, April 6 -- 7, 2024. In this digital age, large-scale data offer many new opportunities, holding great promise for researchers and decision-makers to understand important variations among sub-populations (i.e., data heterogeneity), explore associations between features and rare outcomes (e.g., rare diseases or extreme events), and make optimal personalized recommendations in areas of immediate practical relevance such as precision medicine and social programs. The proposed workshop focuses on data heterogeneity to tap into the true potential of information-rich data.There exist formidable computational and statistical challenges in the analysis of heterogenous data. Some of the key barriers include scalability to data size and dimensionality, deep exploration of heterogeneity and structures in the data, need for robustness and replicability, and the ability to make sense of incomplete observations (e.g., due to censoring). The proposed workshop will serve as a platform for bringing some of the leading scholars in statistics and data science together to exchange new research ideas and to train the next-generation data scientists in the analysis of heterogeneous data. The workshop will convene interdisciplinary researchers to discuss the forefront of heterogeneous data analysis and identify emerging areas for future research, emphasizing both methodology and applications.Please visit https://sds.wustl.edu/events/workshop-translational-research-data-heterogeneity for updates.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.

数据异构性翻译研究研讨会计划于2024年4月6日至7日在圣路易斯华盛顿大学举行。在这个数字时代，大规模数据提供了许多新的机会，为研究人员和决策者提供了巨大的希望，以了解子群体之间的重要差异(即数据异质性)，探索特征与罕见结果(例如罕见疾病或极端事件)之间的关联，并在精准医学和社会项目等直接实用的领域做出最佳的个性化建议。拟举办的研讨会侧重于数据异质性，以挖掘信息丰富的数据的真正潜力。在异质数据的分析中，存在着巨大的计算和统计挑战。一些关键障碍包括数据大小和维度的可伸缩性、对数据中的异质性和结构的深入探索、对稳健性和可复制性的需要，以及理解不完整观测(例如，由于审查)的能力。拟议的讲习班将作为一个平台，将统计和数据科学领域的一些主要学者聚集在一起，交流新的研究想法，并培训下一代数据科学家分析不同种类的数据。研讨会将召集跨学科的研究人员讨论不同数据分析的前沿，并确定未来研究的新兴领域，强调方法和应用。请访问https://sds.wustl.edu/events/workshop-translational-research-data-heterogeneity获取最新信息。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。