Big Data to Knowledge Training Program

大数据知识培训计划

• 批准号: 9275011
• 负责人: Mark Gregory Forest
• 金额: $ 30.04万
• 依托单位: UNIV OF NORTH CAROLINA CHAPEL HILL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9275011
• 关键词: Big Data to Knowledge; Training Programs

 DESCRIPTION (provided by applicant): The Departments of Biology, Biostatistics, Computer Science, Epidemiology, Genetics, Mathematics, Nutrition, Physics and Astronomy, and Statistics and Operations Research; the School of Information and Library Science and the School of Pharmacy; and the Curriculums in Bioinformatics and Computational Biology, Genetics and Molecular Biology, and Toxicology, at the University of North Carolina at Chapel Hill (henceforth UNC-CH or Carolina) request five years of support for six trainees in an interdisciplinary "big data to knowledge" training program. This program unites faculty members and students from four schools and the College of Arts and Sciences in an outstanding research university nestled in the Research Triangle, home to many Big Data industries. The 6 trainees will constitute a multidisciplinary cohort drawn evenly from the biomedical science domain, computer science and informatics domain, and the mathematics and statistics domain. The proposal seeks to combine rigor and depth of a trainee's home Departmental PhD program interwoven with a blend of didactic, experiential, team-science approaches necessary for, and specific to, present and future careers in Big Data biomedical science. The BD2K trainees will pursue the PhD in their respective disciplinary domain, while simultaneously engaging in the enhanced and supplemental training in Big Data Science provided by this application. The common trait aimed for in our BD2K Big Data training program is that all supported trainees, and to variable extent all graduate students who take advantage of our curriculum, will be poised and equipped for the remainder of their careers to develop new methods of Big Data in the context of biomedical science, and to participate in the evolution of Big Data tools development and application to biomedical science.

 描述（由申请人提供）：生物学系、生物统计学系、计算机科学系、流行病学系、遗传学系、数学系、营养学系、物理与天文学系、统计与运筹学系、信息与图书馆学系、药学院;以及生物信息学和计算生物学、遗传学和分子生物学以及毒理学课程，位于查佩尔山的北卡罗来纳州大学（UNC-CH或卡罗莱纳）的一个研究所要求为六名受训人员提供五年的跨学科“从大数据到知识”培训计划的支持。该计划将来自四所学校和艺术与科学学院的教师和学生团结在一所位于研究三角区的杰出研究型大学中，该三角区是许多大数据行业的所在地。6名受训人员将组成一个多学科队列，平均来自生物医学科学领域、计算机科学和信息学领域以及数学和统计学领域。该提案旨在将联合收割机的严谨性和学员的家庭部门博士课程的深度与教学，经验，团队科学方法的融合交织在一起，这些方法对于大数据生物医学科学的当前和未来职业生涯是必要的，并且是特定的。BD 2K学员将在各自的学科领域攻读博士学位，同时参与该应用程序提供的大数据科学的增强和补充培训。我们BD 2K大数据培训计划的共同特点是，所有受支持的学员，以及在不同程度上利用我们课程的所有研究生，都将在其职业生涯的剩余时间内做好准备，在生物医学科学的背景下开发新的大数据方法，并参与大数据工具开发和应用的演变。