BEST-DP: Biostatistics & Epidemiology Summer Training Diversity Program

BEST（生物统计学和流行病学暑期培训）多样性计划提供研究 在生物统计学和流行病学的定量健康科学的机会，适用于心脏，肺， 血液和睡眠（HLBS）研究。我们的目标受众包括代表性不足的本科生 在生物医学研究（那些来自弱势背景，种族和少数民族，和个人 残疾人），以及谁将有助于在未来更多样化的研究队伍。学生将学习 分析来自心脏、肺、血液和睡眠（HLBS）疾病研究的数据。该计划已 在过去的10年里，已经成功地“毕业”了124个人：所有124个人都有 完成了该计划（100%保留），绝大多数校友（65-89%）正在攻读研究生课程 以及定量科学和生物医学研究方面的职业。我们希望继续这个项目， 每年招收14名学生，培训内容包括：生物统计学基础课程， 介绍HLBS疾病和病症的里程碑式研究和当前挑战; 通过关于研究生院申请、简历的讲座，提高学术和专业技能 准备和面试技巧，增加接受研究生课程的可能性; GRE 准备工作;以及与哥伦比亚其他多样性项目的互动，以实现相互协同作用和支持。与 在继续提供资金的情况下，我们将进行几项重大改进。首先，我们将扩大BEST培训， 对生物医学研究具有无与伦比重要性的新兴领域：数据科学和精准医学。 哥伦比亚大学在这两个领域都推出了重大举措，我们可以利用这些举措来丰富BEST 课程和研究经验。第二，我们将扩大我们的“行动研究”实地考察， 最好的学生在学术界，制药行业和非政府组织的更广泛的职业机会， 盈利研究机构。我们还将继续大力开展评价工作， 节目凭借BEST计划的成就和经验， 在过去的10年里，并与广泛的，多年的投入和反馈，从学生和参与教师， 我们完全有能力推进一个更好、更广泛、更全面的计划， 在生物统计学和流行病学的职业生涯。通过选择共享的学术和社会活动，BEST 参与者将了解生物医学研究的就业机会，并相互学习如何 与来自不同地理、社会经济和文化背景的同事合作， 扩大所有人的视野。鉴于这些资产，哥伦比亚作为一个主要研究中心的声誉， 在HLBS的研究，其专家教师，其在数据科学和精度的独特举措广泛的投资组合 医学，以及它在种族多元化，文化丰富的纽约市中心的位置，我们渴望 这有助于NHLBI建立更多样化的科学劳动力的目标。

The BEST (Biostatistics and Epidemiology Summer Training) Diversity Program provides research opportunities in the quantitative health sciences of biostatistics and epidemiology, as applied to heart, lung, blood, and sleep (HLBS) research. Our target audience comprises undergraduates who are under-represented in biomedical research (those from disadvantaged backgrounds, racial and ethnic minorities, and individuals with disabilities), and who will contribute to a more diverse research workforce in the future. Students will learn to analyze data from research studies in heart, lung, blood, and sleep (HLBS) disorders. The program has been running for the past 10 years, and has already successfully “graduated” 124 individuals: all 124 have completed the program (100% retention), and the vast majority of alums (65-89%) are pursuing graduate study and careers in the quantitative sciences and in biomedical research. We seek to continue the program and recruit 14 students per year, whose training will include: a course in the fundamentals of biostatistics and epidemiology; introduction to landmark research and current challenges in HLBS diseases and disorders; enhancements to academic and professional skills via lectures on graduate school applications, resume preparation, and interview skills, increasing the likelihood of acceptance to graduate programs; GRE preparation; and interactions with other diversity programs at Columbia for mutual synergy and support. With continued funding, we will make several major enhancements. First, we will extend BEST training to include 2 burgeoning areas of unparalleled importance to biomedical research: data science and precision medicine. Columbia University has launched major initiatives in both areas, which we can leverage to enrich the BEST curriculum and research experiences. Second, we will extend our “Research in Action” field trips, to expose BEST students to a wider variety of career opportunities in academia, the pharmaceutical industry, and non- profit research organizations. We will also continue to devote significant effort towards evaluation, to improve the program. With a strong foundation built on the achievements and experience of running the BEST Program for the past 10 years, and with extensive, multi-year input and feedback from students and participating faculty, we are perfectly positioned to move ahead with a better, broader, and more comprehensive program spanning careers in biostatistics and epidemiology. Through selected shared academic and social activities, BEST participants will learn about career opportunities in biomedical research, and learn from one another about how to collaborate with colleagues from diverse geographic, socioeconomic, and cultural backgrounds, thus expanding the perspectives of all. Given these assets, Columbia's reputation as a major research hub, its extensive portfolio in HLBS research, its expert faculty, its unique initiatives in data science and precision medicine, and its location in the ethnically diverse, culturally rich center of New York City, we are eager to contribute to NHLBI's goal of building a more diverse scientific workforce.