Advanced data analytics training for behavioral and social sciences research

摘要 目标：高级数据分析计划(ADAPT)将促进行为和社会科学 研究，通过培训多样化的下一代数据科学家，他们将学习 在行为科学和社会科学、健康相关数据科学领域取得成功。 理论基础：圣地亚哥是基因组学、移动技术、行为健康研究和数据科学的中心 南加州，但目前还没有为行为科学家开设的数据科学课程。该适配器 该计划将填补这一空白，并跨越健康科学、信息学、计算机科学和统计学等领域 在南加州。 设计：Adapt将培养行为和社会科学方面的博士生，以建立和进一步扩展 促进查找、访问、互操作和重复使用数字对象的大数据分析生态系统 负责任地在云环境中使用人类受试者的数据进行计算。适配计划将基于 加州大学圣地亚哥分校(UCSD)与圣地亚哥州立大学的教员合作。它 将基于这些大学的两个联合博士项目(JDP)(临床心理学和公共 健康/行为健康)。由具有行为和社会科学专业知识的教师提供双重指导 计算机科学、生物医学信息学或统计学将确保真正的跨学科重点，包括 团队科学和负责任的研究行为。 主要活动：学员将通过课程学习、轮换期间的研究经验和 外部实习、辅导和其他活动。现有的数据科学课程是为 课程，其中还将包括一门新的基于云的受试者数据计算课程。穿过 个性化的发展计划，适应实习生将与他们的教师导师合作，定制课程 根据学生的兴趣和技能选择职业道路。数据科学课程将利用选修课 在初级发展方案课程中，一般将在初级发展方案的第一年和第二年完成。他们将提供 学术和行业轮换以及学员开始研究所需的基础知识 相位。 预计受训人数：6名初级发展计划一年级或二年级学生 计划任期：3年，根据良好的学术地位每年更新一次 预期学员成果：成功的衡量标准将包括出版物的数量和质量，以及 学术里程碑的完成。完成适应计划的受训者将拥有科学 作为行为健康数据科学家所需的知识，了解道德和监管方面的 使用受保护的健康信息进行计算，并将成为科学团队的关键成员 学术界、政府、营利性和非营利性研究机构。

Abstract Objectives: The Advanced Data Analytics Program To (ADAPT) will enhance behavioral and social sciences research, by training a diverse next generation of data scientists who will learn interdisciplinary skills needed for successful careers in behavioral and social sciences health-related data science. Rationale: San Diego is a hub for genomics, mobile technology, behavioral health research and data science in Southern California, yet no data science curriculum for behavioral scientists currently exists. The ADAPT program will fill this gap and intersect the areas of health sciences, informatics, computer science, and statistics in Southern California. Design: ADAPT will educate doctoral students in the behavioral and social sciences to build and further expand an ecosystem for big data analytics that promotes finding, accessing, interoperating, and reusing digital objects and responsibly computing with human subjects’ data in cloud environments. The ADAPT program will be based at the University of California, San Diego (UCSD), with faculty collaborators from San Diego State University. It will be based on two joint doctoral programs (JDPs) at these universities (Clinical Psychology and Public Health/Behavioral Health). Dual mentoring by faculty with expertise in behavioral and social sciences and computer science, biomedical informatics, or statistics will ensure a truly interdisciplinary focus that will cover team science and responsible conduct of research. Key Activities: Trainees will gain expertise through coursework, research experience during rotations and external internships, mentoring and other activities. Existing data science courses were selected for the curriculum, which will also include a new course in cloud-based human subjects’ data computing. Through individualized development plans, ADAPT trainees will work with their faculty mentors to tailor the curriculum and career paths according to students’ interests and skills. Data science coursework will utilize elective course slots in the JDP curricula, will typically be completed in years 1 and 2 of the JDPs. They will provide the foundational knowledge needed for academic and industry rotations and for the start of the trainees’ research phase. Projected Number of Trainees: 6 first or second year JDP students Planned Duration of Appointments: 3 years, renewed annually based on good academic standing Intended Trainee Outcomes: Metrics for success will include number and quality of publications, and rate of academic milestone completion. Trainees who complete the ADAPT program will possess the scientific knowledge needed to be a behavioral health data scientist, understand ethical and regulatory aspects of computing with protected health information, and will become critical members of scientific teams working in academia, government, for-profit and non-profit research institutions.