Training Program in Big Data Systems Neuroscience

项目摘要 理由：该提案寻求美国国立卫生研究院对大数据系统T32培训计划的支持 神经科学，具有强大神经生物学背景的学生将接受 量化方法和实验设计。实验技术的快速发展 神经科学使收集越来越大的神经数据集成为可能，但学生们在 传统的神经科学课程很少接受分析方法方面的正式培训。 需要理解如此复杂的数据集。这种知识鸿沟减缓了进步，并带来了危险 科学研究的严谨性。弥合这一知识鸿沟需要数据之间的协作 科学家和实验者，这是这个T32培训计划的核心。卡内基 梅隆大学(CMU)是机器等量化领域的世界领导者和创新者 学习、计算机科学和人工智能，以及最近出现的神经科学 作为该大学的战略增长领域。培训计划将设在CMU的 神经科学研究所，成立于2018年，旨在促进跨学科研究和培训 大数据神经科学。 目标：作为同类计划中的首批计划之一，T32大数据系统培训计划 神经科学将创造独特的协作和多学科培训体验 三个首要目标，以： 1)为博士生提供跨学科、前沿的实验和量化培训 系统神经科学研究的几个方面及其责任和道德行为 2)为博士生提供深思熟虑的、针对职业的指导和额外的专业指导 发展机会，以增加他们在系统神经科学以及更多领域的留存率 在生物医学劳动力中广泛存在 3)在项目的最后几年为四名最有成就的学生提供24个月的 将理论方法和经验方法结合起来发展研究项目的研究金 4)加强系统神经科学的互动、协作和整体质量 在CMU和匹兹堡大学的实习生和教职员工中进行的研究。

Project Summary Rationale: This proposal seeks NIH support for a T32 training program in Big Data Systems Neuroscience, where students with strong backgrounds in neurobiology will receive training in quantitative methods and experimental design. Rapid technological advances in experimental neuroscience have enabled the collection of increasingly large neural data sets, but students in traditional neuroscience programs rarely receive formal training in the analytical approaches needed to understand such complex data sets. This knowledge gap slows progress and imperils the rigor of scientific research. Bridging this knowledge gap requires collaboration between data scientists and experimentalists, which is at the heart of this T32 training program. Carnegie Mellon University (CMU) is a world leader and innovator in quantitative fields such as machine learning, computer science, and artificial intelligence, and recently, neuroscience has emerged as a field for strategic growth at the university. The training program will be housed in CMU’s Neuroscience Institute, established in 2018 to promote interdisciplinary research and training in big data neuroscience. Goals: As one of the first programs of its kind, the T32 training program in Big Data Systems neuroscience will create a unique collaborative and multi-disciplinary training experience with three overarching goals, to: 1) provide Ph.D. students interdisciplinary, cutting-edge training in experimental and quantitative aspects of systems neuroscience research and its responsible and ethical conduct 2) provide Ph.D. students with thoughtful, career-specific mentoring and additional professional development opportunities to increase their retention in systems neuroscience, as well as more broadly in the biomedical workforce 3) Provide four of the most accomplished students in later years of the program with a 24-month fellowship to develop research projects integrating theoretical and empirical approaches 4) enhance interactions, collaborations and the overall quality of systems neuroscience research among trainees and faculty at CMU and the University of Pittsburgh.