Modelers and Storytellers: Transdisciplinary Training to Advance Community Health Intervention Research

项目摘要 关于政策、制度和环境(PSE)作用的流行病学证据的积累 影响饮食和体育锻炼等健康行为的游戏增加了人们对 将社会生态框架和社区参与办法应用于发展“多种多样的 一级干预“，以高危社区为目标。对这种创新干预措施的评价，通常是为了解决 健康的社会决定因素和减少健康差距经常受到挑战，因为使用它可能不切实际 “黄金标准”整群随机试验设计。此外，社会和行为科学理论 为发展干预措施提供基础在努力扩大规模时可能会被忽视-- 加大干预力度。系统科学方法，已被用于研究复杂的因果关系 已提议将这些机制作为评价这类干预措施的替代办法。然而，他们的 应用程序通常涉及计算建模，需要来自不同学科的研究人员 将他们的知识和技能整合到一个很难达到的水平。 拟议的暑期研究教育计划旨在创造一个学习环境，以支持 对来自不同学科的研究人员进行培训，以便彼此有效协作，并与 社区利益攸关方，目标是加速将研究转化为实践。具体来说， 在三个夏天里，它将(I)提供75名研究人员(博士后、博士后、研究员)，他们对以下问题感兴趣 利用应用系统所需的基本知识和技能处理健康的社会决定因素 科学和数据科学方法，同时(Ii)提供更高级的知识和技能以供应用 这些方法中的任何一种以及社会和行为科学理论的基础知识 方法，给以定量方法为重点的学科的研究人员(如数学、计算机科学、 生物统计学)。此外，该计划还将(Iii)为75名受训人员中的30人提供为期三周的实习 有兴趣获得处理大型数据集的实践经验。 拟议的方案将由两部分组成：(1)为期3周的课程，由虚拟教学组成 有学习活动的课程；和(2)为期3周的实习期，供一部分将与 相互构建和改进基于代理的模型，并通过参与为政策制定者解释结果 利益相关者的利益。征聘和甄选计划将以公平的视角制定，并将提供咨询意见 提供指导和监督的委员会。为了为这个培训项目创造学习环境，我们 将挑选申请者来创建一个学术背景和生活经历也不同的群体。

PROJECT ABSTRACT The accumulation of epidemiologic evidence on the roles that policies, systems and environments (PSE) play in influencing health behaviors such as eating and physical activity has led to increased interest in applying the socio-ecological framework and community-engaged approaches to the development of “multi- level interventions” targeting at-risk communities. Evaluation of such innovative interventions, often to address social determinants of health and reduce health disparities, is often challenged as it may be impractical to use the `gold-standard' cluster randomized trial design. Further, the social and behavioral science theories that provide the foundation for the development of interventions may be overlooked when efforts are made to scale- up an intervention. Systems science methods, which have been used to investigate complex causal mechanisms, have been proposed as an alternative for evaluating such interventions. However, their application, which typically involves computational modeling, requires researchers from disparate disciplines to integrate their knowledge and skills at a level that can be difficult to attain. The proposed summer research education program aims to create a learning environment that will support the training of researchers from diverse disciplines to collaborate effectively with each other and with community stakeholders, with the goal of accelerating the translation of research into practice. Specifically, over three summers, it will (i) provide 75 researchers (pre-docs, postdocs, investigators) interested in addressing social determinants of health, with the basic knowledge and skills necessary for applying systems science and data science methods, while also (ii) providing more advanced knowledge and skills to apply either of these methods as well as foundational knowledge of social and behavioral science theories and approaches, to researchers in quantitative methods-focused disciplines (such as math, computer science, biostatistics). In addition, this program will also (iii) provide a three-week practicum to 30 of the 75 trainees who are interested in gaining hands-on experience in working with large datasets. The proposed program will consist of two components: (i) a 3-week curriculum consisting of virtual didactic sessions with learning activities; and (ii) a 3-week practicum for a subset of trainees who will work closely with each other to build and refine agent-based models and interpret results for policy-makers with the engagement of stakeholders. The recruitment and selection plan will be developed with an equity lens, and with an Advisory Committee providing guidance and oversight. To create the learning environment for this training program, we will select applicants to create a cohort that is also diverse in academic background and lived experiences.