Pipelines into Quantitative Aging Research

项目摘要 有充分的证据表明，多样化的劳动力有可能减少种族和民族差异， 对老龄化人口有很强的影响1 -3。在美国，种族和少数民族的比例。 人口增长，包括老年人口，公共卫生工作人员队伍应反映这一点 多样性1，4，5.随着全国公共卫生专业本科生人数的增加，部分原因是 数据科学和定量大数据分析的兴奋和机会增加， 随着衰老科学的突破即将到来，这是一个发展强大管道的有利时机 为代表性不足的少数民族（URM）本科生提供的课程。我们将针对URM本科生， 有定量和计算的兴趣，并使他们有机会研究生学习， 研究事业，以及将他们的定量兴趣与实质性兴趣结合起来的可能性和兴奋感。 研究老化。介绍本科生，他们在公共卫生专业比其他专业更多样化 专业7，而不是研究生6，在公共卫生事业，有很大的希望，增加 该领域研究生和教师的多样性，在过去20年中几乎没有增加6。这 公共卫生的MSTEM子领域，如生物统计学，流行病学和数据科学，以及。 在这些因素的推动下，并响应NIA资助机会（PAR-17-290），“MSTEM：推进 通过本科教育（R25）老化研究的多样性，“我们提出了一个密集的，为期六周的 暑期课程为12名本科生从代表性不足的背景与生物统计学的兴趣， 流行病学，数据科学和其他定量方法，以了解这些方法的应用 在衰老研究中。暑期课程包括正式的指导，广泛的系列讲座，指导研究， 项目，在年度研讨会上口头研究报告，职业和专业发展会议， 对实验室和其他研究环境的实地考察、小组和非正式指导、社交活动和网络 建设和培训负责任的研究行为。为了加强密集的夏季体验，我们 将继续提供小组和个人的指导和研究经验，以下列学术 年此外，我们将提供一组精选的夏季计划参与者有机会回到 纽约大学在一月学期的扩展研究经验和定量课程。与 在专业评估师和内部和外部咨询委员会的指导下，我们将评估所有 我们的计划和实时审查结果的各个方面，以便不断调整和改进。 我们的建议解决了三个关键需求，以加强和激励研究领域的企业， 老龄化：MSTEM专家的参与度增加，URM研究人员的参与度增加， 注意差异。我们认为，我们的密集和长期方案组成部分将支持 有才华的URM学生进入MSTEM老龄化研究的成功职业生涯。

Project Summary It is well documented that a diverse workforce has the potential to reduce racial and ethnic disparities, which have strong effects in aging populations1-3. As the percentage of racial and ethnic minorities in the U.S. population increases, including among the aged population, the public health workforce should reflect this diversity1,4,5. With an increase in undergraduate public health majors across the country6,7, due in part to heightened excitement and opportunities in data science and quantitative big data analysis, and with breakthroughs in the science of aging on the horizon, this is an opportune moment to develop strong pipeline programs for underrepresented minority (URM) undergraduates. We will target URM undergraduates who have quantitative and computational interests and expose them to opportunities for graduate study and research careers, and the possibilities and excitement of marrying their quantitative interests with substantive research in aging. Introducing undergraduates, who are more diverse in public health majors than other majors7, and than graduate students6, to careers in public health, holds much promise for increasing the diversity of graduate students and faculty in the field, which has increased very little in the past 20 years6. This holds for the MSTEM subfields of public health, such as Biostatistics, Epidemiology and Data Science, as well. Motivated by these factors, and in response to NIA Funding Opportunity (PAR-17-290), “MSTEM: Advancing Diversity in Aging Research through Undergraduate Education (R25),” we propose an intensive, six-week summer program for 12 undergraduates from underrepresented backgrounds with interests in Biostatistics, Epidemiology, Data Science and other quantitative methods to learn about the applications of these methods in aging research. The summer program includes formal instruction, a broad lecture series, mentored research projects, oral research presentation at an annual symposium, career and professional development sessions, site visits to labs and other research settings, group and informal mentoring, social activities and network building, and training in responsible conduct of research. To reinforce the intensive summer experience, we will continue to offer group and individual mentoring and research experiences into the following academic years. Additionally, we will offer a select group of summer program participants the opportunity to return to NYU during the January term for an extended research experience and a quantitative course. With the guidance of a professional evaluator and internal and external advisory committees, we will evaluate all aspects of our program and review results in real-time to enable constant adjustment and improvement. Our proposal addresses three critical needs to strengthen and galvanize the research enterprise in the field of aging: increased engagement of MSTEM experts, increased engagement of URM researchers, and increased attention to disparities. We believe that our intensive and long-term programmatic components will support the entry of talented URM students into successful careers in MSTEM research in aging.