Summer Institute in Neuroimaging and Data Science

神经影像和数据科学暑期学院

• 批准号: 9278954
• 负责人: Ariel Shalom Rokem
• 金额: $ 20.52万
• 依托单位: UNIVERSITY OF WASHINGTON
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-06-01 至 2022-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9278954
• 关键词: Address; Adopted; Big Data; Brain; Brain Diseases; Classification; Collaborations; Collection; Communities; Competence; Data; Data Analyses; Data Collection; Data Science; Data Set; Databases; Discipline; Face; Faculty; Fostering; Funding; Habits; Home environment; Human; Image; Institutes; Institution; Instruction; Internet; Knowledge; Learning; Machine Learning; Magnetic Resonance Imaging; Mental disorders; Methodology; Methods; Modernization; Neurologic; Neurosciences; Participant; Positioning Attribute; Problem Solving; Psychology; Reproducibility; Research; Research Personnel; Science; Scientist; Software Engineering; Software Tools; Structure; Students; Technology; Testing; Training; Training Programs; United States National Institutes of Health; Universities; Washington; base; career; computer science; connectome; data management; data visualization; design; e-science; experimental study; high dimensionality; insight; instructor; interdisciplinary collaboration; knowledge base; lectures; nervous system disorder; neurogenetics; neuroimaging; novel; open source; prediction algorithm; programs; project-based learning; skills; statistics; success; summer institute; theories; tool

Project Summary/Abstract The study of the human brain with neuroimaging technologies is at the cusp of an exciting era of Big Data. Many data collection projects, such as the NIH-funded Human Connectome Project, have made large, high- quality datasets of human neuroimaging data freely available to researchers. These large data sets promise to provide important new insights about human brain structure and function, and to provide us the clues needed to address a variety of neurological and psychiatric disorders. However, neuroscience researchers still face substantial challenges in capitalizing on these data, because these Big Data require a different set of technical and theoretical tools than those that are required for analyzing traditional experimental data. These skills and ideas, collectively referred to as Data Science, include knowledge in computer science and software engineering, databases, machine learning and statistics, and data visualization. The Summer Institute in Data Science for Neuroimaging will combine instruction by experts in data science methodology and by leading neuroimaging researchers that are applying data science to answer scientific ques- tions about the human brain. In addition to lectures on the theoretical background of data science methodology and its application to neuroimaging, the course will emphasize experiential hands-on training in problem-solving tutorials, as well as project-based learning, in which the students will create small projects based on openly available datasets.

项目概要/摘要 利用神经影像技术对人脑的研究正处于激动人心的大数据时代的风口浪尖。 许多数据收集项目，例如 NIH 资助的人类连接组项目，已经取得了大规模、高 人类神经影像数据的高质量数据集免费提供给研究人员。这些大数据集有望 提供有关人类大脑结构和功能的重要新见解，并为我们提供所需的线索 解决各种神经和精神疾病。然而，神经科学研究人员仍然面临 利用这些数据面临着巨大的挑战，因为这些大数据需要一套不同的技术 和理论工具，而不是分析传统实验数据所需的工具。这些技能和 思想，统称为数据科学，包括计算机科学和软件工程知识， 数据库、机器学习和统计以及数据可视化。 神经影像数据科学夏季学院将结合数据科学专家的指导 方法论以及领先的神经影像研究人员应用数据科学来回答科学问题 关于人类大脑的问题。除了数据科学方法论的理论背景讲座 及其在神经影像学中的应用，该课程将强调解决问题的体验式实践培训 教程以及基于项目的学习，学生将在公开的基础上创建小项目 可用的数据集。