Data Science - Training and Capacity Building and the Industrial Strategy: An Applied Quantitative Methods Network (AQMeN III) Project

这是一个关于一套新的相互关联的培训和能力建设活动的建议，将工业和社会科学研究人员和教师聚集在一起。这些活动借鉴了先进的定量社会科学方法和数据分析的知识、技能和见解。这是一个创新的尝试，将行业利益相关者与从事先进定量方法、数据分析、数据科学和大数据的社会科学家聚集在一起。这项工作将分为两个阶段。第一阶段将包括两个工作包。工作包1将绘制先进定量方法和社会科学数据分析方面的知识和技能培训的当前地形。工作包2将确定工业合作伙伴，并确定他们在大社会科学数据分析方面的知识和技能要求。第二阶段将包括一个工作包。在工作包3中，我们建议设计并提供一系列简短的培训活动。中心目标将是开展活动，直接针对已查明的现有社会科学培训与工业伙伴的需要之间的差距，后者将受益于发展具有社会科学数据分析大技能的劳动力。

This is a proposal for a novel set of inter-related training and capacity building activities bringing together industry and social science researchers and teachers. The activities draw on the knowledge, skills and insights from advanced quantitative social science methods and data analysis. It is an innovative attempt to bring together stakeholders in industry with social scientists engaged in advanced quantitative methods, data analysis, data science, and big data.There will be two phases to the work. Phase I will comprise two work packages. Work Package 1 will map the current terrain of knowledge and skills training in advanced quantitative methods and social science data analysis. Work Package 2 will identify industrial partners and scope out their knowledge and skills requirements in big social science data analysis.Phase II will comprise one work package. In Work Package 3 we propose to design and deliver a short series of training activities. The central aim will be to undertake activities that directly target the identified gaps between existing social science training and the needs of partners in industry that would benefit from developing workforces with big social science data analytical skills.