Predoctoral Training Program in Biomedical Data Driven Discovery (BD3)

 描述（由申请人提供）：西北大学（NU）的生物医学数据驱动发现（BD 3）培训计划是一项合作计划，汇集了来自Feinberg医学院（FSM），工程和应用科学（MEAS）的麦考密克学院，艺术与科学（WCAS）的温伯格学院和传播学院的大数据教育工作者和研究人员。BD 3的目标是为学术和行业研究职位培训大数据科学家，他们将开发下一代方法和工具。BD 3将创建一个真正的多学科数据科学培训环境。在这样做的过程中，BD 3将包括多个部门和学位课程，利用三个现有的数据密集型博士课程-由Diego Klabjan博士领导的MEAS数据分析的完善和国家认可的计划，以及由Justin Starren博士领导的两个创新和不断发展的计划：Driskill研究生课程的信息学轨道，侧重于生物信息学，以及健康科学综合计划的信息学轨道，侧重于临床和人口信息学。Klabjan博士和Starren博士共同拥有跨越三个关键领域的专业知识：计算机科学/信息学，统计学/数学和生物医学领域知识。BD 3汇集了FSM多个部门的生物医学大数据和领域专业知识，以及计算，信息学，统计学和数学方面的方法专业知识。该计划将每年招募三名候选人，并为每位学员提供两年的支持。数据科学的成功需要掌握三种不同的技能：1）对目标领域的理解，2）对该领域内数据的性质和结构的理解，以及3）掌握操纵和分析数据的计算和统计技术。这转化为一些更具体的能力，包括：目标领域的深层领域知识，统计方法，计算机编程，本体论，数据库，文本分析，预测分析，数据挖掘，大数据分析和负责任的研究行为。BD 3将采用共同指导模式，每个学生都有一个领域导师和一个方法导师。每个学生的计划将基于个人发展计划（IDP）。学生将有很多机会利用MEAS完善的课程进行实验室和工业轮换。其他教育活动包括：年度务虚会，每月学员会议，部门研讨会和演讲者，期刊俱乐部，教学培训和经验，写作和演讲培训。学员受益于广泛的机构支持这个程序，如：学费补贴，津贴补贴，行政支持，研究生写作研讨会，塞尔中心推进学习和教学，科学家和工程师的管理，国家认可的导师和学员培训计划，并在团队科学的正式培训。

 DESCRIPTION (provided by applicant): The Biomedical Data Driven Discovery (BD3) Training Program at Northwestern University (NU) is a collaborative proposal that brings together Big Data educators and researchers from the Feinberg School of Medicine (FSM), the McCormick School of Engineering and Applied Science (MEAS), the Weinberg College of Arts and Sciences (WCAS) and the School of Communication. The goal of BD3 is to train Big Data scientists for both academic and industry research positions, who will develop the next generation of methodologies and tools. BD3 will to create a truly multidisciplinary data science training environment. In doing so, BD3 will encompass multiple departments and degree-programs, leveraging three existing data-intensive doctoral programs-- the well-established and nationally recognized program in Data Analytics in MEAS, led by Diego Klabjan, PhD, and two innovative and growing programs led by Justin Starren, MD, PhD: the Informatics track of the Driskill Graduate Program, focusing on Bioinformatics, and the Informatics track of the Health Sciences Integrated Program, focusing on clinical and population informatics. Together, Drs. Klabjan and Starren have expertise that spans three critical areas: computer science/informatics, statistics/mathematics, and biomedical domain knowledge. BD3 brings together the biomedical Big Data and domain expertise across multiple departments of FSM with methodological expertise in computation, informatics, statistics, and mathematics. The program will recruit three candidates per year and support each trainee for two years. Success in data science requires mastery of three distinct skill sets: 1) an understanding of the target domain, 2) an understanding of the nature and structure of the data within that domain, and 3) a mastery of the computational and statistical techniques for manipulating and analyzing the data. This translates into a number of more specific competencies, including: deep Domain Knowledge in the target domain, Statistical Methods, Computer Programming, Ontologies, Databases, Text Analytics, Predictive Analytics, Data Mining, Analytics for Big Data, and Responsible Conduct of Research. BD3 will utilize a co-mentoring model, with each student having a domain mentor and a methodological mentor. Each student's program will be based on an Individual Development Plan (IDP). Students will have many opportunities for both laboratory and industrial rotations leveraging well-established programs at MEAS. Additional educational activities include: an annual retreat, monthly trainee meetings, departmental seminars and speakers, journal clubs, teaching training and experience, and writing and presentation training. Trainees benefit from extensive institutional support for this program, such as: tuition supplements, stipend supplements, administrative support, the Writing Workshop for Graduate Students, the Searle Center for Advancing Learning and Teaching, the Management for Scientists and Engineers, nationally recognized mentor and mentee training programs, and formal training in Team Science.