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

数据科学 - 培训和能力建设以及产业战略：应用定量方法网络 (AQMeN III) 项目

• 批准号: ES/R006334/1
• 负责人: Vernon Gayle
• 金额: $ 31.56万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FR006334%2F1
• 关键词: Data; Science; Training; Capacity; Building

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.

这是一个新的一套相互关联的培训和能力建设活动的建议，使工业和社会科学研究人员和教师聚集在一起。这些活动利用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。这是一次创新的尝试，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。第一阶段将包括两个工作包。工作包1将绘制先进的定量方法和社会科学数据分析的知识和技能培训的当前地形。第二阶段将确定行业合作伙伴，并确定他们在社会科学大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，我们建议设计和提供一系列简短的培训活动。中心目标是开展活动，直接针对现有社会科学培训与行业合作伙伴的需求之间已确定的差距，这些需求将受益于开发具有大量社会科学数据分析技能的劳动力。