An Undergraduate Workshop on "Big Data, Human Health and Statistics"

本次研讨会是6月1日至26日在美国密歇根大学安娜堡分校生物统计系举办的“大数据、人类健康和统计”本科生暑期研究所的总结活动，旨在成为一次以本科生为重点的活动。下一代量化科学家的培养需要改变，以满足数据的需求。我们将“大数据”定义为具有巨大规模和复杂性的数据集(无论是在观测数量上，还是在预测者/结果的数量/性质上)。对于如此庞大的不规则稀疏数据集，经典的理论、计算和直觉往往失败。需要在数据管理、数据存储、可视化、高维统计、优化、因果方法、稀疏数据建模、机器学习等方面进行更多培训，以使学生能够应对这些大数据挑战。预计从这些海量的异质数据源中获得的知识将为人类疾病的预防、筛查、预后和治疗提供信息，并在未来十年内在生物学、医学和公共卫生领域发挥重要作用。该研讨会位于大数据、人类健康和统计学的交汇点。在这个为期两天的研讨会上，第一天将有杰出研究人员就与大数据相关的领域进行演讲，包括移动健康、精确医学、基因组学、数据可视化。将有本科生与会者的海报会议和暑期学院本科生参与者的口头演示会议。第二天将是为本科生学员举办的专业发展研讨会。任何有兴趣的人士均可报名参加(最多120人参加)。这笔助学金将支持选定的本科生学员、教师导师和外部演讲者的参与费用。

This workshop is a concluding event to an Undergraduate Summer Institute on "Big Data, Human Health and Statistics" held at the Department of Biostatistics, University of Michigan, Ann Arbor from June 1-26 and is intended to be an event focusing on the undergraduates. The training of the next generation of quantitative scientists needs to change to meet the demands of the data. We define "Big Data" as datasets of enormous size and complexity (either in number of observations, and/or in the number/nature of predictors/outcomes). Classical theory, computation and intuition often fail for such irregular, sparse data sets of vast size. More training in data management, data storage, visualization, high dimensional statistics, optimization, causal methods, modeling sparse data, machine learning are needed to equip students to tackle these big data challenges. It is expected that the knowledge obtained from these massive heterogeneous data sources will inform prevention, screening, prognosis, and treatment of human diseases and play a major role in biology, medicine, and public health in the coming decade. This workshop lies in the intersection of Big Data, Human Health and Statistics. In this two-day symposium, the first day will feature talks by distinguished researchers in areas of relevance to Big Data, including mobile health, precision medicine, genomics, data visualization. There will be a poster session by undergraduate attendees and an oral presentation session by the undergraduate participants of the summer institute. The second day will be a professional development workshop for undergraduate attendees. Registration will be open to anyone interested (with a maximum limit of 120 participants). The grant will support participation cost of selected undergraduate attendees, faculty mentors and outside speakers.