Training Program in Big Data Systems Neuroscience

项目摘要 理由：该提案寻求NIH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以下培训 定量方法和实验设计。实验性的快速技术进步 神经科学已经能够收集越来越大的神经数据集，但学生在 传统的神经科学项目很少接受分析方法的正式培训 需要了解如此复杂的数据集。这种知识差距减缓了进步， 科学研究的严谨性弥合这一知识差距需要数据之间的协作 科学家和实验家，这是这个T32训练计划的核心。卡内基 梅隆大学（CMU）是定量领域的世界领导者和创新者， 学习，计算机科学和人工智能，最近，神经科学出现了 作为大学战略增长的领域。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：作为同类项目中的首批项目之一，T32大数据系统培训项目 神经科学将创造一个独特的协作和多学科的培训经验， 三个首要目标，以： 1)提供博士学位学生跨学科，前沿的实验和定量培训 系统神经科学研究的各个方面及其负责任和道德行为 2)提供博士学位学生有周到的，职业特定的指导和额外的专业 发展机会，以增加他们在系统神经科学的保留，以及更多 在生物医学劳动力中， 3)提供四个最有成就的学生在以后几年的计划与24个月 提供奖学金，以制定综合理论和经验方法的研究项目 4)增强互动，协作和系统神经科学的整体质量 在CMU和匹兹堡大学的学员和教师中进行的研究。

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.