Building a Diverse Biomedical Workforce Through Communication Across Difference

通过跨差异沟通建立多元化的生物医学劳动力队伍

• 批准号: 10438745
• 负责人: Carrie A. Cameron
• 金额: $ 23.5万
• 依托单位: UNIVERSITY OF TX MD ANDERSON CAN CTR
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-07-18 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10438745
• 关键词: Address; Area; Biomedical Research; Career Mobility; Communication; Communication Research; Control Groups; Development; Dimensions; Distal; Doctor of Philosophy; Educational workshop; Environment; Face; Future; Goals; Growth; Health; Individual; Intention; Intervention; Knowledge; Lead; Learning; Linguistics; Link; Measures; Mediating; Mentors; Methods; Modeling; Outcome; Participant; Personal Communication; Play; Postdoctoral Fellow; Process; Psychological Models; Publications; Randomized Controlled Trials; Research; Research Personnel; Research Training; Role; Scientist; Series; Students; Surveys; Testing; Underrepresented Populations; United States National Institutes of Health; Work; base; broadening participation research; career; design; dyadic interaction; effective intervention; evidence base; experimental group; flexibility; follow-up; graduate student; innovation; interest; member; predictive modeling; programs; psychologic; racial and ethnic; recruit; skills; social influence; social relationships; socioeconomics; student mentoring; success; summer student; time use; undergraduate student

ABSTRACT The biomedical research workforce faces steep declines in recruitment and retention of under-represented researchers, from undergraduate study to the senior professoriate, and an escalating attrition of those at the PhD-level as they are nearing potential careers as independent investigators (Fuhrmann, Halme et al. 2011). To address these challenges, evidence-based mechanisms that enhance mentoring, networking, and career transitions are needed, but the specific mechanisms that make them effective are still unclear. Elucidating these mechanisms is critical to future efforts to diversify and retain the biomedical research workforce. To that end, our objective is to test a predictive model of the influence of skills for communicating across difference (CAD) on long-term outcomes for both students and their junior mentors (graduate students and postdocs). Our central hypothesis is that acquiring CAD skills will influence distal outcomes for diverse trainees' career persistence and network growth, as well as junior mentors' subsequent engagement in mentoring of diverse trainees, and can be modeled using an adapted version of the Tripartite Integration Model of Social Influence (TIMSI). Our specific aims are to measure effects of a CAD workshop series in a longitudinal, randomized controlled trial of dyads of summer students and their matched junior mentors, with additional group-effects analysis for under-represented groups; 2) to identify causal relationships of the variables and create 2 related TIMSI-based models: one for career intention outcomes and one for mentoring intention outcomes; and 3) to assess long-term impact of CAD skills and predictive utility of the student and mentor models by tracking outcomes of known Hallmarks of Success such as completion of STEM degrees, publication, and others. By investigating the role of CAD skills, we expect to model the psychological processes by which research career persistence is strengthened for all participants, and commitment to mentoring diverse trainees is strengthened for junior mentors. Innovations of the proposed research include its unique focus on linguistic skills, the dyadic and interactional analytic approach, the analysis of psychological development processes as senior trainees become junior mentors, and the use of flexible, generative skills rather than acquired knowledge as a mechanism of change. Our long-term goal is help diversify the biomedical workforce through an approach which addresses the interactional roles of both under-represented and well-represented groups simultaneously. This research, conducted by our uniquely qualified team, directly addresses priorities outlined by the NIH National Research Mentor Network and will contribute to our understanding of mechanisms that enhance mentoring and career transition and thereby broaden participation in the biomedical workforce.

抽象的 生物医学研究人员在招募和保留人数不足的情况下面临急剧下降 从本科学习到高级教授的研究人员，以及那些在 博士学位级别作为独立研究人员即将接近潜在的职业（Fuhrmann，Halme等，2011）。 为了应对这些挑战，基于证据的机制可以增强指导，网络和职业 需要过渡，但是使其有效的具体机制尚不清楚。阐明 这些机制对于将来的努力多样化和保留生物医学研究人员至关重要。为此 结局，我们的目标是测试技能跨差异交流的技能影响的预测模型 （CAD）关于学生及其初级导师（研究生和博士后）的长期成果。 我们的核心假设是，获得CAD技能将影响各种学员的职业生涯的远端结果 持久性和网络增长，以及初级导师随后的参与指导 学员，可以使用改编版的三方集成模型来建模 （Timsi）。我们的具体目的是在纵向，随机的 夏季学生及其匹配的初级导师的对照试验以及其他小组效应 分析代表性不足的群体； 2）确定变量的因果关系并创建2个相关的 基于Timsi的模型：一种用于职业意图成果，一种用于指导意图成果；和3）到 通过跟踪评估学生和导师模型的长期影响以及学生和导师模型的预测效用 已知的成功标志的结果，例如完成词干学位，出版物等。经过 调查CAD技能的作用，我们希望对研究职业的心理过程进行建模 所有参与者都加强了持久性，对指导多元化学员的承诺得到了加强 对于初级导师。拟议研究的创新包括其对语言技能的独特关注，二元 和互动分析方法，作为高级学员的心理发展过程的分析 成为初级导师，并使用灵活的生成技巧，而不是获得知识 变化机理。我们的长期目标是通过一种方法来帮助多样化生物医学劳动力 这探讨了代表性不足和代表性良好的群体的互动作用 同时地。这项由我们独特资格的团队进行的研究直接解决了概述的优先事项 NIH国家研究导师网络，将有助于我们对机制的理解 加强指导和职业过渡，从而扩大对生物医学劳动力的参与。