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

基本信息

批准号：
10368326
负责人：
Jacqueline Milton Hicks
金额：
$ 24.04万
依托单位：
BOSTON UNIVERSITY MEDICAL CAMPUS
依托单位国家：
美国
项目类别：
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/10368326
关键词：
Academia Active Learning Area Big Data Biomedical Research Biometry Boston COVID-19 Career Choice Clinical Trials Communicable Diseases Complex Computer Models Computer software Computers 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 Design Research Project Grants Role Running Schedule Scholarship Schools 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 student health disparity health inequalities infectious disease model inferential statistics innovation interest lectures model design programs residence skills summer institute teaching assistant tool trend undergraduate student virtual

项目摘要

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.

抽象的波士顿大学 (BU) 提出了一项名为“波士顿大学暑期学院”的综合计划生物统计和数据科学研究教育（BU SIBS），包括生物统计分析、流行病学、传染病模型、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。该结构包括五个之前的在线模块为期一周的住院项目，然后是指导小组研究项目的额外远程工作。这严格的课程中穿插着当前的例子，强调生物统计学与特定领域的相关性重点关注生物医学大数据、机器学习方法和高性能计算。 BU SIBS 是旨在吸引不同群体的本科生、应届毕业生和早期研究生的兴趣和参与来自美国各地。我们的教师充满热情和敬业精神，我们的演讲嘉宾也是如此来自学术界和工业界的数据科学家、生物统计学家、流行病学家和医师科学家。手- 对国家心肺血液研究所 (NHLBI) Framingham 的教学数据集进行分析心脏研究和杰克逊心脏研究以及相关的 COVID-19 和结核病示例可增强技能在计算、数据可视化、统计和计算建模以及结果解释方面加深对健康不平等这一中心主题的关注。典型的每日日程安排包括上午讲座包含 R 编程示例和主动学习练习。午餐后在BU餐厅用餐设施参与者将返回计算机教室完成与以下内容相关的简短作业：讲座内容或专注于新的计算技能（SAS/Linux）或从事小组研究项目。这研究项目将跨越整个项目，并将深入吸引学生参与某个内容领域。与一个研究导师，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、综合并呈现结果。每日行程将穿插客人演讲者和实地考察（例如弗雷明汉心脏研究）。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，以支持项目期间学生生活的各个方面。 BU已经举办了一个夏季自 2004 年起在生物统计研究所 (BU SIBS) 工作。我们的业绩记录非常出色。我们成功维持关注超过 92% 的 BU SIBS 校友（2004-2020 年）和约 65% 的先前参与者已经进入生物统计学或密切相关学科的研究生课程或在该领域从事的工作。我们的经验我们之前的 BU SIBS 计划将使我们能够快速实施新的 BU SIBS 计划，保持经过验证的我们过去计划的各个方面，同时引入新元素，包括数据科学框架、扩展的传染病模块，更强调健康不平等，以及更深入的研究经验。