Lectures in Data Visualization

Designs to Support Better Visual Data Communication Cindy Xiong, UMass Amherst Well-chosen data visualizations can lead to powerful and intuitive processing by a viewer, both for visual analytics and data storytelling. When badly chosen, visualizations leave important patterns opaque or misunderstood. So how can we design an effective visualization? I will share several empirical studies

The future of Data Science is Live and in the Browser Data science is a constantly evolving field, and as such, it is important to continually explore new ideas for improving the tools we use. In this talk, I will talk about two ideas that may change how and where we build these tools. First,

Intelligence Augmentation through the Lens of Interactive Data Visualization The rise of large language models has brought new urgency to the future of human + machine partnerships. In this talk, I will use three research threads on interactive data visualization to better understand the balance between automation and augmentation. First, I will describe how new

Special Considerations for Science Graphics Jen Christiansen, Scientific American Science graphics are beholden to the same design principles as other types of graphics. But the information they hold is often the product of a process that a lot of people in your audience may not be familiar with. It's important to honor the fact that

The Brown Institute at Columbia Journalism School, in partnership with the Data Science Institute and the Department of Computer Science, is excited to present a lecture series that delves into the art and science of data visualization. This dynamic interdisciplinary series will explore the ways in which technology is transforming how we encounter, comprehend, and