Quantitative Methods for HIV/AIDS Research

艾滋病毒/艾滋病生物医学研究团队，他们执行自己的数据分析并咨询 根据需要，生物统计学家越来越多地发现标准咨询不够充分，因为需要 1)解决复杂的研究问题，2)理解大数据，3)确保分析严谨。 迫切需要为以下领域的跨学科大数据环境培训未来的艾滋病毒/艾滋病工作人员 哪些具有专门方法专业知识的量化专家正在合作合作项目，如 恰如其分。研究人员需要接受培训，以确定他们自己的知识差距和合作者 拥有必要的专业知识，这一点变得越来越复杂，因为量化专业知识领域正在变得 越来越专业化。为了解决这一问题，艾滋病毒/艾滋病社区需要制定培训方案 研究人员和量化科学家-统计学家、计算机科学家、数学家、工程师等- 在团队科学方面具有凝聚力。我们提出了一项交叉培训艾滋病毒/艾滋病研究人员的计划 定量分析的基本概念，以及生物、临床和社会领域的定量科学家- 艾滋病毒/艾滋病研究的行为背景。这一计划充分利用了 杜克大学的艾滋病毒/艾滋病和量化科学专业将与专家一起提供真实的艾滋病毒/艾滋病研究经验 不仅向杜克大学的学员提供量化指导，还向北卡罗来纳州地区机构的学员提供量化指导 否则可能无法访问这些资源。它旨在提供生物医学和定量 具有跨学科艾滋病毒/艾滋病团队的技能、机会、途径和资源(SOAR)的受训人员 科学。在过去的项目期间，我们向100多人教授数据科学、统计学和化验生物信息学 通过我们每年开发和实施的一系列18个讲习班，帮助年轻的艾滋病毒/艾滋病研究人员。我们 我们还向50名统计学、数学和计算机科学的研究生介绍了 通过我们的暑期实习计划进行多学科的艾滋病毒/艾滋病研究。为了加强这项工作，我们正在 提出一个新的研究教育计划，旨在实现几个关键目标：第一，我们将提供 对对艾滋病毒/艾滋病研究感兴趣的生物医学实习生进行培训，以提高他们在数据科学方面的技能， 通过以真实艾滋病毒病例为中心的一系列研讨会进行预测建模和化验分析 学习。二是实施有组织的量化研究生实习培养计划 要获得更好的指导和团队科学经验，可以通过 领导艾滋病毒/艾滋病调查人员。第三，我们将为生物医学实习生制定专门的指导计划 并提供跨学科的专业发展培训机会，包括长期专家 通过数据驱动的研究项目为受训者提供量化指导。该计划将提供一个范例 用于开发可用于发展劳动力的多学科团队科学培训计划 在全国各地。

Teams of HIV/AIDS biomedical researchers who perform their own data analysis and consult with biostatisticians as needed, are increasingly finding standard consultations inadequate because of the need to 1) tackle complex research questions, 2) make sense of big data, and 3) ensure that analysis is rigorous. There is a critical need to train the future HIV/AIDS workforce for an interdisciplinary big data environment in which quantitative experts with specialized methodological expertise are partnering on collaborative projects as appropriate. Researchers need to be trained to identify their own knowledge gaps and identify collaborators with the necessary expertise, which is getting more complex as quantitative expertise areas are becoming more and more specialized. To address this, the HIV/AIDS community needs to develop programs that train researchers and quantitative scientists — statisticians, computer scientists, mathematicians, engineers etc. — to work cohesively in team science. We propose a program to cross-train HIV/AIDS researchers in fundamental concepts of quantitative analysis, and quantitative scientists in the biological, clinical, and socio- behavioral context of HIV/AIDS research. This program capitalizes on the breadth and depth of resources in HIV/AIDS and in quantitative science at Duke to offer real-world HIV/AIDS research experiences with expert quantitative mentoring not only to Duke trainees, but also trainees from regional institutions in North Carolina who may not otherwise have access to these resources. It is designed to provide biomedical and quantitative trainees with the Skills, Opportunities, Access, and Resources (SOAR) for interdisciplinary HIV/AIDS team science. In the past project period, we taught data science, statistics, and assay bioinformatics to over 100 junior HIV/AIDS researchers through a series of 18 workshops we developed and implemented each year. We were also able to introduce 50 graduate students in statistics, mathematics, and computer science to multidisciplinary HIV/AIDS research through our summer internship program. To build upon this work, we are proposing a novel research education program designed to fulfill several key objectives: First, we will provide training for biomedical trainees interested in HIV/AIDS research to build up their skills in data science, predictive modeling, and assay analysis through a series of workshops centered on real-world HIV case studies. Second, we will implement a structured internship training program for quantitative graduate students to have an enhanced mentoring and team science experience working on real-world research problems with leading HIV/AIDS investigators. Third, we will develop a dedicated mentoring program for biomedical trainees and provide interdisciplinary professional development training opportunities, including long-term expert quantitative mentoring for trainees with data-driven research projects. This program will provide an exemplar for developing multidisciplinary team science training programs that can be used to develop the workforce across the country.