Travel Grant to Attend Big Data in Software Engineering Track

该基金支持参与者参加中西部大数据暑期学校的软件工程大数据课程。中西部大数据暑期学校系列是一个为期5天的早期职业研究人员培训活动。2017年的活动将于2017年7月10日至14日在爱荷华州艾姆斯举行。这个暑期学校是一个为期一周的密集课程，旨在让早期职业研究人员开始数据驱动的研究。该学院包括全天的课程，主题包括数据采集、数据预处理、探索性数据分析、描述性数据分析、数据分析工具和技术、可视化和沟通、数据科学中的伦理问题、可再现性和可重复性，以及对领域/上下文的理解。在软件工程领域，实证研究的大数据分析作为一个研究领域已经扩展。暑期学校的软件工程大数据课程将培训研究人员进行这项研究的技能、工具和技术。总的来说，这是一个可以促进研究合作的社区建设活动。

This grant supports participants to attend the Big Data in Software Engineering track of the Midwest Big Data Summer School. The Midwest Big Data Summer School series is a 5-day training activity for Early Career Researchers. The 2017 edition of the event will be held on July 10-14, 2017 in Ames, Iowa. This summer school is a one-week, intensive curriculum aimed at early career researchers to get them started in data-driven research. The school includes full-day lectures on topics ranging from data acquisition, data preprocessing, exploratory data analysis, descriptive data analysis, data analysis tools and techniques, visualization and communication, ethical issues in data science, reproducibility and repeatability, and understanding of domain/context. In the field of Software Engineering, big data analytics for empirical research has expanded as a research area. The Big Data in Software Engineering track at the Summer School will train researchers on the skills, tools and techniques to perform this research. Overall, it is a community building activity that may stimulate research collaborations.