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Training

训练

基本信息

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
项目类别：
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

项目摘要

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.

大数据生物医学知识因果建模与发现中心（CCMD）的培训部分将(1)培训数据科学家推进CMD方法，用大数据回答生物医学问题；(2)培训生物医学研究人员规划和执行大型复杂数据集的CMD分析；(3)培训中心软件用户快速轻松地将CMD工具应用于大数据问题。参加CCMD培训活动的个人包括来自学术界和工业界的研究生，博士后，年轻的研究者和成熟的研究者，来自我们自己的中心，匹兹堡，其他BD2K中心，以及其他地方。培训部分利用CMU和Pitt的独特环境，有助于实现以下BD2K目标：1)促进新研究者和早期研究者的职业发展，2)促进CCMD开发的方法、方法、软件、工具和相关资源的广泛、有效传播，3)开发创新的方法来培训在大数据科学领域进行研究所需的技能，4)与其他中心以及更广泛的社区分享培训方法和材料。我们将利用我们近二十年来建立的广泛基础，在CMD方法的理论和应用方面教育数据科学家和领域科学家。我们会开发独特的培训材料，包括创新的培训软件，以支持针对我们主要选民的各种培训活动。专业培训活动将包括在线教程、新的在线课程、与核心课程的整合、CMD研讨会和为期一周的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项目中感受到（其中两个是NIH资助的），并将扩展到我们的大学和其他大学，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。培训部分将通过在多个科学社区推广中心的方法和产品来扩大中心的影响范围。