Nowadays, data visualizations are an intrinsic element of decision-making processes. But
they can also lead us to wrong conclusions under different circumstances: lack of data …

While the visualization community is increasingly aware that people often find visualizations
difficult to understand, there is less information about what we need to do to create …

In Chinese archaeological research, analyzing the evolution of motifs in ancient pottery is
crucial for studying the spread and growth of cultures across various eras and regions …

Designers in the built-environment disciplines increasingly solve problems using generative
design methods, which promise novel and performant solutions to design problems but …

Visual analytics (VA) systems have been widely used in various application domains.
However, VA systems are complex in design, which imposes a serious problem: although …

Context Data visualizations and dashboards are essential in disseminating information to
broad audiences. However, designing these instruments is complex due to the multitude of …

To compare and select machine learning models, relying on performance measures alone
may not always be sufficient. This is particularly the case where different subsets, features …

We examine visual representations of data that make use of combinations of both 2D and
3D data mappings. Combining 2D and 3D representations is a common technique that …

Designers often create visualizations to achieve specific high-level analytical or
communication goals. These goals require people to naturally extract complex …

How do cancer cells grow, divide, proliferate and die? How do drugs influence these
processes? These are difficult questions that we can attempt to answer with a combination of …