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暑期培训计划，以介绍 生物统计学和数据科学面向各行各业有前途的本科生和初级研究生 从事定量科学家的职业，专注于生物医学研究。拟议的为期七周的计划， 哥伦比亚大学生物统计和数据科学夏季培训研究所(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 在他们的家庭中获得大学教育，对学生的亲身实践和多样化的热情 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的任务，并将通过精心设计的项目利用 通过研究心脏、肺、血液和睡眠的数据，从项目中获得量化技能 疾病和传染病流行病学。该计划将设在生物统计系内 在哥伦比亚大学，该校在培养有前途的本科生方面有着悠久而成功的历史 从不同的背景到其长期运行的最佳(生物统计学和流行病学夏季培训) 多样性计划和哥伦比亚商学院(CSIBS)计划的过去周期。根据拟议的培训计划， 我们将创建一条与现有最佳计划互补(并与之协同)的管道，专注于州- 最先进的数据科学技能，而不是最好的项目专注于生物统计学和 流行病学。还将有新的创新来展示生物统计学和数据科学在 跨学科研究，也增加了对传染病研究的新关注。具体来说，我们 建议(1)确定和招聘一个由14名本科生和初级学生组成的多元化和数量上熟练的小组 每年暑假毕业的大学生；(Ii)让受训人员沉浸在精心设计的 生物统计学和数据科学的基本概念、计算技能和实际操作的生物医学数据分析； (3)生物统计和数据科学研究生专业发展辅导学员以及 (4)通过一个结构良好的学位跟踪系统，确保受训人员取得成功 完成学业，攻读研究生课程，以及随后从事量化科学家的职业。鉴于哥伦比亚大学的 作为主要研究中心的声誉，其在NIH资助的研究中的广泛投资组合，其专家教师和导师， 现有的由来自BEST/CSIBS周期的成功校友组成的网络，作为学员的榜样，以及其 位于种族多元、文化丰富的纽约市，我们准备继续做出贡献 大大扩展了训练有素的生物统计学家和数据科学家的多样化人才库，能够处理 解决当今最紧迫的研究问题所需的复杂数据分析。