Training

训练

• 批准号: 8932079
• 负责人: Ivet Bahar
• 金额: $ 18.32万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-29 至 2018-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8932079
• 关键词: Academia; Achievement; Algorithms; Area; Big Data; Case Study; Collaborations; Communities; Complex; Computational Biology; Computer software; Data; Data Set; Documentation; Educational Curriculum; Educational process of instructing; Educational workshop; Environment; Etiology; Exercise; Fostering; Foundations; Functional Magnetic Resonance Imaging; Funding; Goals; Hour; Individual; Industry; Institution; Knowledge; Logic; Manuals; Methodology; Methods; Modeling; Research; Research Personnel; Resources; Schools; Science; Scientist; Software Tools; Staging; Students; Systems Biology; Training; Training Activity; Training Programs; Training Support; United States National Institutes of Health; Universities; Work; biomedical informatics; biomedical scientist; cancer genomics; career; computerized data processing; experience; graduate student; innovation; lectures; online tutorial; programs; skills; software development; theories; tool; virtual; web site

The Training Component of the Center for Causal Modeling and Discovery (CCMD) of Biomedical Knowledge from Big Data will (1) train data scientists to advance CMD methods to answer biomedical questions with Big Data, (2) train biomedical investigators to plan and conduct CMD analyses of large complex datasets, and (3) train users of the Center's software to quickly and easily apply CMD tools to Big Data problems. Individuals participating in CCMD training activities are expected to include graduate Students, postdoctoral students, young investigators and established investigators from academia and industry, across our own Center, Pittsburgh, other BD2K Centers, and beyond. The Training Component takes advantage of the unique environment at CMU and Pitt to contribute to the achievement of the following BD2K goals: 1) promote the careers of new and early-stage investigators, 2) contribute to the broad, effective dissemination of the approaches, methods, software, tools, and related resources developed by the CCMD, 3) develop innovative approaches to training in the skills necessary to do research in the area of Big Data science, and 4) share training methods and materials with other Centers as well as the broader community. We will leverage the extensive foundation we have built over nearly two decades to educate data scientists and domain scientists in the theory and application of CMD methods. We will develop unique training materials including innovative training software, to support a wide range of training activities targeted to our main constituencies. Professional training activities will include online tutorials, a new online course, integration with core curricula, CMD workshops, and a one-week CCMD Summer School. The benefits of our professional training activities will be immediately felt in our three training programs (two of which are NIH funded), and will extend out to our Universities and others, as well as other BD2K Centers. Efforts aimed at users include training videos, online documentation, software Webinars, Developer Office Hours, and Hackathons. The Training Component will increase the reach of the Center by promoting the Center's approaches and products within multiple scientific communities.

来自大数据的生物医学知识的因果建模与发现中心（CCMD）的培训组成部分将（1）培训数据科学家推进使用大数据回答生物医学问题的CMD方法，（2）培训生物医学研究人员来计划和进行大型复杂数据集的CMD分析，以便快速地应用CMD的工具，以快速地应用CMD的工具，以快速地应用CMD的工具。参加CCMD培训活动的个人预计将包括研究生，博士后学生，年轻调查人员以及来自学术界和工业的研究人员，我们自己的中心，匹兹堡，其他BD2K中心及其他地区的研究生。培训组件利用CMU和PITT的独特环境为实现以下BD2K目标做出贡献：1）促进新的和早期研究人员的职业，2）2）2）促进方法，方法，方法，软件，工具和相关资源的广泛，有效传播。与其他中心以及更广泛的社区。我们将利用近二十年来建立的广泛基础，以教育数据科学家和领域科学家在CMD方法的理论和应用中。我们将开发独特的培训材料，包括创新培训软件，以支持针对我们主要选区的广泛培训活动。专业培训活动将包括在线教程，新的在线课程，与核心课程的集成，CMD研讨会以及一周的CCMD暑期学校。我们的专业培训活动的好处将立即在我们的三个培训计划（其中两个由NIH资助）中感受到，并将扩展到我们的大学和其他人以及其他BD2K中心。针对用户的努力包括培训视频，在线文档，软件网络研讨会，开发人员办公时间和黑客马拉松。培训组成部分将通过在多个科学社区内促进中心的方法和产品来提高中心的影响范围。