Summer Institute for Training in Biostatistics and Data Science at Columbia (SIBDS@Columbia)

哥伦比亚生物统计和数据科学夏季培训学院 (SIBDS@Columbia)

• 批准号: 10368512
• 负责人: Kiros T Berhane
• 金额: $ 25.14万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-15 至 2026-12-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10368512
• 关键词: Acute; Address; African; Area; Biomedical Research; Biometry; Communicable Diseases; Complement; Complex; Data; Data Analyses; Data Science; Data Scientist; Degree Completion; Development; Discipline; Education; Educational Curriculum; Ensure; Epidemiology; Faculty; Family; Funding; Growth; Health; Heart; Heart Diseases; Hematological Disease; Hypersensitivity; Immersion; Infectious Disease Epidemiology; Infectious Diseases Research; Institutes; Interdisciplinary Study; Latino; Location; Lung; Lung diseases; Machine Learning; Mathematics; Mentors; Mission; Modeling; National Heart, Lung, and Blood Institute; National Institute of Allergy and Infectious Disease; New York City; Outcome; Public Health; Recording of previous events; Research; Research Design; Running; Scientist; Sleep Disorders; Structure; System; Techniques; Training; Training Programs; United States National Institutes of Health; Universities; Woman; analytical method; career; cohort; college; complex data; computer science; design; ethnic diversity; experience; faculty mentor; graduate student; health disparity; informatics tool; innovation; job market; multidimensional data; multidisciplinary; next generation; outreach; programs; recruit; response; skills; sound; statistics; student mentoring; success; summer institute; tool; undergraduate student; university student

SUMMARY/ABSTRACT We propose to establish an innovative summer training program to introduce fundamental principles of biostatistics and data science to a diverse pool of promising undergraduate and beginning graduate students for careers as quantitative scientists with a focus on biomedical research. The proposed seven-week program, Summer Institute for Training in Biostatistics and Data Science at Columbia (SIBDS@Columbia), will be taught by a pool of world-renowned faculty with expertise and extensive funded research in several key areas of biostatistics and data science, hailing from diverse backgrounds and including women, African, Latino, and first in their family to attain a college education, with passion for hands-on mentoring of students and diversity in the workforce. Trainees will have the opportunity to interact with world-class experts in domain areas relevant to the missions of NHLBI and NIAID and will be immersed in research through carefully designed projects utilizing quantitative skills acquired from the program on data from studies involving heart, lung, blood, and sleep disorders and infectious disease epidemiology. The program will be housed within the Department of Biostatistics at Columbia University, which has a long and successful history of training promising undergraduate students from diverse backgrounds through its long-running BEST (Biostatistics and Epidemiology Summer Training) Diversity Program and past cycles of the Columbia SIBS (CSIBS) program. Under the proposed training program, we will create a pipeline complimentary to (and synergistic with) the existing BEST program by focusing on state- of-the-art data science skills, as opposed to the BEST program’s focus on the intersection of biostatistics and epidemiology. There will also be new innovations to demonstrate the value of biostatistics and data science in interdisciplinary research and also a new added focus on research of infectious diseases. Specifically, we propose to (i) identify and recruit a diverse and quantitatively skilled group of 14 undergraduate and beginning graduate college students every summer; (ii) immerse trainee cohorts in a carefully designed curriculum of fundamental concepts of biostatistics and data science, computing skills, and hands-on biomedical data analysis; (iii) mentor trainees on professional development toward graduate studies in biostatistics and data science and subsequent careers; and (iv) ensure success of trainees by a well-structured tracking system through degree completion, pursuit of graduate studies, and subsequent careers as quantitative scientists. Given Columbia’s reputation as a major research hub, its extensive portfolio in NIH-funded research, its expert faculty and mentors, an existing network of successful alumni from previous BEST/CSIBS cycles as models for trainees, and its location in ethnically diverse and culturally rich New York City, we are poised to continue to contribute substantially toward expanding a diverse pool of well-trained biostatisticians and data scientists that can handle the complex data analyses needed to address today’s most pressing research questions.

摘要/摘要 我们建议建立一个创新的夏季培训计划，以介绍以下基本原则： 生物统计学和数据科学向各种有前途的本科生和刚开始的研究生提供 定量科学家的职业，专注于生物医学研究。拟议的七周计划， 哥伦比亚生物统计和数据科学夏季培训学院 (SIBDS@Columbia) 将 由一批世界知名的教师授课，他们在以下几个关键领域拥有专业知识和广泛的资助研究 生物统计学和数据科学，来自不同的背景，包括女性、非洲人、拉丁裔和第一 在他们的家庭中接受大学教育，对学生的实践指导和多样性的热情 劳动力。学员将有机会与相关领域的世界级专家互动 NHLBI 和 NIAID 的使命，并将通过精心设计的项目进行研究 从涉及心脏、肺、血液和睡眠的研究数据项目中获得的定量技能 疾病和传染病流行病学。该计划将设在生物统计系内 哥伦比亚大学在培养有前途的本科生方面拥有悠久而成功的历史 通过其长期运行的 BEST（生物统计学和流行病学夏季培训）来自不同背景的学生 多样性计划和哥伦比亚 SIBS (CSIBS) 计划的过去周期。根据拟议的培训计划， 我们将通过重点关注州创建一个与现有最佳计划互补（并协同）的管道 最先进的数据科学技能，而不是 BEST 计划重点关注生物统计学和 流行病学。还将有新的创新来展示生物统计学和数据科学的价值 跨学科研究，并且还新增了对传染病研究的关注。具体来说，我们 建议 (i) 确定并招募一支由 14 名本科生和新人组成的多元化且具有定量技能的团队 每年夏天毕业的大学生； (ii) 让受训者沉浸在精心设计的课程中 生物统计学和数据科学的基本概念、计算技能和动手生物医学数据分析； (iii) 指导学员进行生物统计学和数据科学研究生的专业发展， 随后的职业生涯； (iv) 通过学位的结构良好的跟踪系统确保学员的成功 完成学业、攻读研究生以及随后作为定量科学家的职业生涯。鉴于哥伦比亚的 作为主要研究中心的声誉、NIH 资助的广泛研究组合、专家教师和导师， 先前 BEST/CSIBS 周期中成功校友的现有网络作为学员的榜样，及其 位于种族多元化、文化丰富的纽约市，我们准备继续做出贡献 实质上是为了扩大训练有素的生物统计学家和数据科学家的多样化库，他们可以处理 解决当今最紧迫的研究问题所需的复杂数据分析。