Conference: Workshop on Translational Research on Data Heterogeneity

关于数据异构转化研究的研讨会定于2024年4月6日至7日在圣路易斯的华盛顿大学举行。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很大的希望，以了解亚群体之间的重要变化（即，数据异质性），探索特征和罕见结果之间的关联（例如，罕见疾病或极端事件），并在精准医疗和社会计划等直接实际相关领域提供最佳个性化建议。拟议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。异质数据的分析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扩展性、对数据中的异构性和结构的深入探索、对鲁棒性和可复制性的需求以及理解不完整观察的能力（例如，由于审查）。拟议的研讨会将作为一个平台，汇集统计和数据科学领域的一些领先学者，交流新的研究思路，并培训下一代数据科学家分析异构数据。 该研讨会将召集跨学科的研究人员讨论异构数据分析的前沿，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了解最新信息。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

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.