Advanced Research Training in Communication Sciences and Disorders

项目摘要 波士顿大学高级研究培训计划的更新 在沟通障碍和科学的基础上，成功地实施了一个多- 多学科、多机构的培训工作。目前的五年周期注入了广泛的临床 学员的观点，将教学和研究经验，在整个 人类健康方面的持续有效培训（即，从调查基本的和中断的 机制或沟通过程，治疗研究，翻译到诊所， 在整个卫生系统广泛实施）。参与的博士前和博士后学员有 来自生物医学工程，神经科学，心理学和脑科学， 演讲，语言和听力科学。该计划是非常有竞争力的两个前， 和博士后水平。这个T32的影响是博士前水平的两倍， 每个参与部门承诺提供相同的资源和机会 为每个T32支持的学员提供一个“匹配”的沟通科学与障碍学员。 下一个五年周期将继续所有这些成功的组成部分，并增加正式的 为每个受训人员开发数据科学工具包。来自波士顿的新关键人员 大学最近成立的计算和数据科学学院（见Biosketches Azer Bestavros，计算和数据科学副教务长，BU总监 数据科学倡议，以及哈里里计算研究所所长Eric Kolaczyk 和计算科学与工程）将为此提供课程和研究指导 方案的方面。所需的数据科学培训包括每个人的演示设施 数学、统计学、数据处理、数据力学和机器学习方面的培训生。课程 可能包括使用Python的数据操作，使用R的数据科学和图像分析。 我们学员的成功反映了国际研究所的深厚研究和培训资源， 学科和跨机构的伙伴关系，包括这个程序。完善的 实验室由经验丰富和资金充足的导师指导，可以获得大型，多样化的 患者群体得到经验丰富的领导人和机构承诺的支持。这 准备和适应有才华的学员大大有助于我们的科学和 理解、预防和治疗沟通障碍的临床能力。

PROJECT SUMMARY This proposed renewal of Boston University's Training Program in Advanced Research Training in Communication Disorders and Sciences builds on the successful implementation of a multi- disciplinary, multi-institutional training effort. The current five-year cycle infuses a broad clinical perspective in trainees, incorporating didactic and research experiences across the full continuum of effective training in human health (i.e., from investigations of basic and disrupted mechanisms or communication processes, to treatment research, translation to the clinic, and broad implementation across health systems). Participating pre- and postdoctoral trainees have come from programs in Biomedical Engineering, Neuroscience, Psychological & Brain Sciences, and Speech, Language, & Hearing Sciences. The program is highly competitive at both the pre- and postdoctoral levels. The impact of this T32 is doubled at the predoctoral level by the commitment of each participating department to provide identical resources and opportunities for a “match” Communication Sciences & Disorders trainee for each T32-supported trainee. The next five-year cycle continues all of these successful components, and adds formal development for each trainee of a data sciences toolkit. New Key Personnel from Boston University's recently established Faculty of Computing and Data Sciences (see Biosketches for Azer Bestavros, Associate Provost for Computing and Data Sciences, and Director of the BU Data Science Initiative, as well as Eric Kolaczyk, Director of the Hariri Institute for Computing and Computational Science & Engineering) will provide curricular and research guidance for this aspect of the program. Required training in data sciences includes demonstrated facility by each trainee in math, statistics, data wrangling, data mechanics, and machine learning. Coursework may include data manipulation using Python, data science using R, and image analysis. The success of our trainees reflects the deep research and training resources of the inter- disciplinary and cross-institution partnerships comprising this program. Well-established laboratories guided by experienced and well-funded preceptors, with access to large, diverse patient populations are supported by experienced leaders and institutional commitment. This preparation and acculturation of talented trainees contributes substantially to our scientific and clinical capacity to understand, prevent, and remediate communication disorders.