Pathways to Neurosciences

神经科学之路

• 批准号: 10549773
• 负责人: MARION S BUCKWALTER
• 金额: $ 22.85万
• 依托单位: STANFORD UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-01-12 至 2026-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10549773
• 关键词: Academia; Awareness; Behavior; Biology; Brain; Communities; Control Groups; Data; Data Collection; Dedications; Discipline; Disease; Education; Effectiveness; Elements; Engineering; Environment; Evaluation; Exhibits; Faculty; Fellowship; Funding; Goals; Grant; Growth; Health; Individual; Industry; Institution; Knowledge; Laws; Leadership; Link; Mathematics; Measures; Medicine; Mental Processes; Mentors; Mentorship; Neurosciences; Neurosciences Research; Occupations; Outcome; Paper; Participant; Pathway interactions; Population Heterogeneity; Positioning Attribute; Postdoctoral Fellow; Process; Productivity; Program Sustainability; Psychology; Randomized; Research; Resources; Schools; Science; Scientist; Social Sciences; Stereotyping; Surveys; Technology; Time; Training; Underrepresented Populations; Universities; Writing; career; career development; career networking; cohort; comparison control; computer science; design; diversity and inclusion; experience; faculty mentor; follow-up; graduate school; graduate student; improved; innovation; insight; meetings; microaggression; peer coaching; post-doctoral training; programs; psychosocial; recruit; satisfaction; science, technology, engineering, mathematics, and medicine; skills; social; social capital; stem; success; theories

Project Summary Neuroscience research must be transdisciplinary, drawing on the knowledge and practices of such diverse fields as biology, psychology, engineering and computer science. This transdisciplinary approach is further supported by the innovative ideas that stem from a diverse population with a broad set of perspectives. As with many other science, technology, engineering, math, and medicine (STEMM) fields, the field of neuroscience needs to implement strategies that more effectively support individuals from diverse backgrounds to pursue further studies or careers in research. Underrepresented groups (URGs) are less likely to transition from graduate school to postdoctoral training and postdoctoral training to scientific positions in academia or industry. We posit that a sense of belonging promotes academic and professional success generally and that to support recruitment and retainment of URG trainees, issues like stereotype threat, lack of representation, microaggressions, and imposter phenomena need to be countered with mentorship and strategic access to professionals to build a diverse and representative network. Social capital is an additional necessary support to promote professional advancement of URG trainees. To maximize impact on professional advancement, we will focus on graduate students and postdocs and their potential transitions to postdocs and scientists, respectively. Our goal is to increase successful transitions and ultimately diversify neuroscience. Our program, Pathways to Neurosciences, was designed as a social sciences study, using a theory of action that describes psychosocial mechanisms that we hypothesize our program will activate that would lead to desirable outcomes. Our evaluation plan was designed in parallel to maximize useful data for others desiring to design similar programs, and to prioritize iterative data collection that will document how program elements operate over time, as a function of the interactions among elements and participants. In Aim 1 we will establish the Pathways to Neurosciences program and Subaim 1a will utilize a year 1 pilot cohort to optimize program components and processes, including refining ongoing participant surveys. A strength of our plan is that we will in Subaim 1b continue evaluations and adjustments throughout the project. Aim 2 is to determine whether and how the program leads to the hypothesized mechanisms in our theory of action, which are professional networks, safe spaces for interaction, and productive dynamics of interactions. In Aim 3 we will evaluate whether our desired short- and long-term outcomes are achieved by the program compared to control groups. Through this program and strong institutional support, we hope that Pathways to Neurosciences graduates will have increased opportunities and exhibit increased persistence in science and leadership. Ultimately, we will disseminate program design, processes, and insights to others to enable the creation of similar optimized programs at their own institutions.

项目摘要 神经科学的研究必须是跨学科的，要借鉴这些不同领域的知识和实践 如生物学、心理学、工程学和计算机科学。这种跨学科的方法得到了进一步的支持 创新的想法来自于不同的人群，他们有着广泛的视角。与许多其他 科学，技术，工程，数学和医学（STEMM）领域，神经科学领域需要 实施更有效地支持来自不同背景的个人继续深造的策略 或从事研究工作。代表性不足的群体（URG）不太可能从研究生院过渡到 博士后培训和博士后培训，以在学术界或工业界的科学职位。我们把这一点 归属感一般促进学术和职业成功，并支持招聘和 保留URG受训人员，如刻板印象威胁，缺乏代表性，微攻击和冒名顶替等问题 需要通过指导和战略性地接触专业人员来应对这种现象， 代表网络。社会资本是促进专业发展的必要支持 URG培训生。为了最大限度地提高专业发展的影响，我们将重点放在研究生和 博士后和他们的潜在过渡到博士后和科学家分别。我们的目标是提高 成功的转型，并最终使神经科学多样化。我们的项目，神经科学之路， 设计为社会科学研究，使用行动理论，描述心理社会机制， 我们假设我们的程序会启动，这将导致理想的结果。我们的评估计划是 并行设计，以最大限度地为其他希望设计类似程序的人提供有用的数据，并优先考虑 迭代数据收集，将记录程序元素如何随时间运行，作为 参与者和参与者之间的互动。在目标1中，我们将建立通往神经科学的途径 项目和Subaim 1a将利用第一年的试点队列来优化项目组件和流程， 包括改进正在进行的参与者调查。我们计划的一个优点是，我们将在Subaim 1b继续 整个项目的评估和调整。目标2是确定该计划是否以及如何导致 我们行动理论中的假设机制，即专业网络， 互动和互动的生产动力。在目标3中，我们将评估我们所需的短期和长期投资是否有效。 与对照组相比，该方案取得了长期成果。通过这一计划， 机构的支持，我们希望途径神经科学毕业生将有更多的机会 并在科学和领导力方面表现出更强的持久性。最终，我们将传播程序设计， 流程和见解，以使他们能够在自己的机构创建类似的优化程序。