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

“大数据、人类健康与统计学”本科生研讨会

• 批准号: 1541233
• 负责人: Bhramar Mukherjee
• 金额: $ 1.5万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-15 至 2016-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1541233&HistoricalAwards=false
• 关键词: Undergraduate; Workshop; Big; Data; Human

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.

本次研讨会是6月1日至26日在密歇根大学安阿伯生物统计系举行的“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。下一代定量科学家的培训需要改变，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，还是在预测因子/结果的数量/性质上）。经典理论、计算和直觉对于如此不规则、稀疏且规模巨大的数据集往往会失败。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、机器学习方面进行更多培训，以帮助学生应对这些大数据挑战。预计从这些海量异构数据源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，人类健康和统计的交叉点。在为期两天的研讨会中，第一天将由与大数据相关的领域的杰出研究人员进行演讲，包括移动的健康，精准医学，基因组学，数据可视化。将有一个海报会议的本科生与会者和口头报告会议的本科生参与者的夏季研究所。第二天将为本科生参加者举办专业发展研讨会。 报名将开放给任何有兴趣的人（最多120人参加）。该补助金将支持选定的本科生与会者，教师导师和外部演讲者的参与费用。