报告时间：12月11日10：00-11：15
报告地点：紫金港蒙民伟楼402
报告题目：Interactive Programming Interfaces for Data Science Collaboration
报告人：王奕（April Wang）
 
报告简介：Computing technologies allow people to work, learn, and socialize remotely but seamlessly together, particularly over complex computational tasks like programming and data science. Yet, collaboration in data science is often hard. Since data science is highly exploratory, the artifact and analysis often iterate fast. It is difficult to maintain a shared understanding across various collaborators. On the other hand, tools like computational notebooks provide a convenient approach for data scientists to run, document, and share analysis in a storytelling way. However, there are still many open-ended questions about how to improve the collaboration experience by designing better collaborative data science tools. For example, data scientists often neglect to keep updated documentation during rapid exploration, which results in computational notebooks that are messy and difficult to read; without strategic planning, working together in a shared notebook may block each other's work. My research draws upon human-centered design techniques to identify barriers in real-world data science programming practices, and explore the design space of collaborative data science environments through tool-building.
 
个人介绍：April Wang is an assistant professor in the Department of Computer Science at ETH Zurich and leading the Programming, Education, and Computer-Human Interaction (PEACH) Lab. Her research combines Human-Computer Interaction and Data Science Education, focusing on designing the next generation of interactive educational technologies for emerging technical domains. Her work has been published in areas of human computer interaction and educational technologies (e.g., CHI, TOCHI, CSCW), and has received several paper awards. She has also been selected as a Rising Star in EECS in 2022. She acted as program committee member and external reviewer at CHI, CSCW, UIST, LAK, AIED. April completed her Ph.D. in the University of Michigan School of Information where she was advised by Professor Steve Oney and Professor Christopher Brooks. She received B.Eng. in Computer Science from Zhejiang University and M.Sc. degree in Computer Science from Simon Fraser University.