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 神经科学研究必须是跨学科的，借鉴了这种不同领域的知识和实践 作为生物学，心理学，工程和计算机科学。这种跨学科的方法得到了进一步的支持 通过具有广泛观点的多样化人群的创新思想。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以进行进一步研究的策略 或研究的职业。代表性不足的群体（URG）从研究生院过渡到 博士后培训和博士后培训对学术界或行业的科学职位。我们认为这是 归属感一般都会促进学术和专业的成功，并支持招聘和 保留URG受训者，诸如刻板印象威胁，缺乏代表性，微侵略性和冒险家等问题 需要通过指导和与专业人士的战略访问来抵制现象，以建立多样化和 代表网络。社会资本是促进专业进步的额外支持 乌尔格学员。为了最大化对专业进步的影响，我们将专注于研究生和 博士后及其潜在向博士后和科学家的过渡。我们的目标是增加 成功过渡，并最终使神经科学多样化。我们的计划，通往神经科学的途径，是 设计为一项社会科学研究，使用一种描述心理社会机制的行动理论 我们假设我们的计划将激活，这将导致理想的结果。我们的评估计划是 并行设计，以最大化有用的数据，以设计设计类似程序的其他人，并优先考虑 迭代数据收集将记录程序元素随着时间的流逝的运作方式 要素和参与者之间的互动。在AIM 1中，我们将建立通往神经科学的途径 计划和Subaim 1A将利用1年级试验队列来优化程序组件和流程， 包括完善正在进行的参与者调查。我们计划的优势是我们将在Subaim 1B继续 整个项目的评估和调整。 AIM 2是确定程序是否以及如何领导 我们的行动理论中的假设机制是专业网络，安全的空间 相互作用和相互作用的生产力。在AIM 3中，我们将评估我们所需的短期和 该计划与对照组相比实现了长期结局。通过这个程序和强大 机构支持，我们希望通往神经科学毕业生的途径将有更多机会 并在科学和领导力中表现出越来越多的持久性。最终，我们将传播程序设计， 流程，以及对他人的洞察力，以便在自己的机构中创建类似的优化程序。