Rising Stars Seminar Series • Designing Future Computational Notebooks for Collaboration and LearningExport this event to calendar

Monday, October 17, 2022 — 2:00 PM to 3:00 PM EDT

Please note: This seminar will take place virtually and in person in DC 1302.

April Wang, PhD candidate
School of Information, University of Michigan

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.

To join this seminar on Zoom, please go to https://uwaterloo.zoom.us/j/95533938913.


Bio: April Wang is a Ph.D. candidate at the School of Information at the University of Michigan, advised by Professor Steve Oney and Professor Christopher Brooks. With the growing complexity and interdisciplinary of the data science field, data science workers must embrace effective collaboration to improve the quality and efficiency of the work. Her work aims to understand different collaboration needs and challenges around data science, and design better programming tools to support collaborative data science. Her work has been published at top-tier HCI venues (e.g., CHI, TOCHI, CSCW), and has received several paper awards.


About the series: The Rising Stars Seminar Series brings promising PhD candidates from other institutions to Waterloo to give a talk and interact with local researchers. Our hope is that connections formed before the pressures of job searches and early career development will prove long-lasting. Please contact Prabhakar Ragde to find out how you can nominate future speakers.

Location 
DC - William G. Davis Computer Research Centre
Hybrid seminar: DC 1302 | Online
200 University Avenue West

Waterloo, ON N2L 3G1
Canada
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