BU Summer Institute for Research Education in Biostatistics and Data Science

BU 生物统计和数据科学研究教育夏季学院

• 批准号: 10612885
• 负责人: Jacqueline Milton Hicks
• 金额: $ 23.91万
• 依托单位: BOSTON UNIVERSITY MEDICAL CAMPUS
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-06-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10612885
• 关键词: Academia; Active Learning; Big Data; Biomedical Research; Biometry; Boston; COVID-19; Career Choice; Clinical Trials; Communicable Diseases; Complex; Computer Models; Computer software; Computers; Creativeness; Data Science; Data Scientist; Data Set; Discipline; Educational Curriculum; Educational process of instructing; Elements; Ensure; Environment; Epidemiologist; Epidemiology; Exercise; Exposure to; Faculty; Foundations; Framingham Heart Study; Future; Genomics; High Performance Computing; Home; Industry; Infrastructure; Institution; Jackson Heart Study; Knowledge; Learning; Life; Linux; Machine Learning; Mentors; National Heart, Lung, and Blood Institute; National Institute of Allergy and Infectious Disease; Occupations; Output; Participant; Physicians; Program Effectiveness; Public Health; Reproducibility; Research; Research Project Grants; Role; Running; Schedule; Scholarship; Scientist; Site Visit; Solid; Statistical Computing; Statistical Data Interpretation; Statistical Models; Structure; Students; Surveys; Taste Perception; Tuberculosis; Universities; Update; Vocational Guidance; Work; big biomedical data; career; clinical trial analysis; computational platform; data integrity; data visualization; design; education research; experience; follow-up; genetic analysis; graduate school; graduate student; health disparity; health inequalities; infectious disease model; inferential statistics; innovation; interest; lectures; programs; residence; skills; student participation; summer institute; teaching assistant; tool; trend; undergraduate student; virtual

ABSTRACT Boston University (BU) proposes a comprehensive program entitled the `Boston University Summer Institute for Research Education in Biostatistics and Data Science' (BU SIBS) that includes biostatistical analysis, epidemiology, infectious disease modeling, design and analysis of clinical trials, statistical genomics, and statistical computing within a data science framework. The structure includes online modules preceding a five- week in-residence program followed by additional remote work on a mentored group research project. The rigorous curriculum is interspersed with current examples highlighting the relevance of biostatistics with particular emphasis on biomedical big data, machine learning approaches, and high performance computing. BU SIBS is designed to interest and engage a diverse group undergraduates, recent graduates and early graduate students from across the US. Our faculty is enthusiastic and committed, as are our guest speakers who are practicing data scientists, biostatisticians, epidemiologists, and physician-scientists from academia and industry. Hands- on analyses with teaching data sets from the National Heart, Lung, and Blood Institute's (NHLBI) Framingham Heart Study and Jackson Heart Study, along with relevant COVID-19 and tuberculosis examples, reinforce skills in computing, data visualization, statistical and computational modeling, and interpretation of findings while deepening exposure to a central theme of health inequities. The typical daily schedule will include a morning lecture with incorporated R programming examples and active learning exercises. After lunch at the BU dining facilities participants will return to the computer classroom to complete short assignments either relevant to the lecture content or focused on new computing skills (SAS/Linux) or to work on the group research project. The research project will span the entire program and will deeply engage students in a content area. Working with a research mentor, the students will determine a research question, develop an analysis plan and proposal, conduct the analysis, and synthesize and present results. The daily schedule will be interspersed with guest speakers and site visits (e.g. to the Framingham Heart Study). Multiple sessions on career paths and graduate school are also included. Strong institutional support from BU provides a 50% tuition scholarship, teaching assistants, and infrastructure to support all aspects of student life during the program. BU has run a Summer Institute in Biostatistics (BU SIBS) since 2004. Our track record is very strong. We successfully maintain follow up of 92% of our BU SIBS alumni (2004-2020) and ~65% of our prior participants have either entered into graduate programs in biostatistics or a closely related discipline or taken jobs in the field. Our experience with our prior BU SIBS programs will enable us to rapidly implement a new BU SIBS program, maintaining proven aspects of our past program while introducing new elements including a data science framework, an expanded infectious disease module, stronger health inequities emphasis, and a more in depth research experience.

摘要 波士顿大学（BU）提出了一项名为“波士顿大学暑期研究所”的综合计划， 生物统计学和数据科学研究教育（BU SIBS），包括生物统计分析， 流行病学，传染病建模，临床试验的设计和分析，统计基因组学，以及 数据科学框架内的统计计算。该结构包括在线模块之前的五个- 为期一周的居住计划，然后是一个指导小组研究项目的额外远程工作。的 严格的课程穿插与当前的例子，突出生物统计学的相关性，特别是 重点是生物医学大数据、机器学习方法和高性能计算。BU SIBS是 旨在吸引和吸引不同群体的本科生，应届毕业生和早期研究生 来自美国各地。我们的教师是热情和承诺，因为是我们的嘉宾发言人谁是实践 来自学术界和工业界的数据科学家、生物统计学家、流行病学家和医学科学家。手- 对来自美国国家心脏、肺和血液研究所（NHLBI）的FRADIONAL的教学数据集进行分析， 心脏研究和杰克逊心脏研究，沿着相关的COVID-19和结核病的例子，加强技能 在计算，数据可视化，统计和计算建模，以及结果的解释， 加深了对卫生不平等这一中心主题的暴露。典型的每日日程安排将包括一个上午 讲座包含R编程示例和主动学习练习。午餐后在BU用餐 设施参与者将返回计算机教室，完成与 讲座内容或专注于新的计算技能（SAS/Linux）或参与小组研究项目。的 研究项目将跨越整个计划，并将深入参与内容领域的学生。处理一个 研究导师，学生将确定一个研究问题，制定一个分析计划和建议， 进行分析，综合并提出结果。每天的日程安排将穿插客人 演讲者和现场访问（例如，心脏病研究）。关于职业道路和毕业生的多次会议 学校也包括在内。BU强大的机构支持提供50%的学费奖学金，教学 助理，和基础设施，以支持学生生活的各个方面在程序。BU已经运行了一个夏天 生物统计研究所（BU SIBS）自2004年以来。我们的业绩记录非常好。我们成功地保持了跟踪 高达92%的BU SIBS校友（2004-2020）和约65%的先前参与者已经进入 生物统计学或相关学科的研究生课程或在该领域的工作。我们的经验与 我们之前的BU SIBS计划将使我们能够快速实施新的BU SIBS计划， 我们过去计划的各个方面，同时引入新的元素，包括数据科学框架，扩展的 传染病模块，更强的卫生不公平的重点，以及更深入的研究经验。