How can we see information?
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IEEE Computer Society: Career Accelerator

JUNE 2024

Data Visualization

How can we see information?

Data visualization transforms data into assets such as graphics or dashboards. Thanks to this practice, end users can have a formatted experience that is scalable, simplified, and easy on the eyes instead of digging through copious amounts of information to find trends. But how does that work exactly? Here’s what you need to know: 

1

Understanding Data Visualization Design Practice

With growing interest in the connection between research and practice, there’s still so much to learn regarding data visualization in application! It’s been said that practitioners handle complex situations very differently from researchers and this study aims to close that gap. In this paper, 20 data visualization professionals were interviewed about their design processes, decision-making, and methods. 

2

Educational Data Virtual Lab: Connecting the Dots Between Data Visualization and Analysis

The Educational Data Virtual Lab (EDVL) is an open-source data exploration and analysis platform. When combining a coding environment, an interactive visualization engine, and a sturdy infrastructure, the platform can train employees in data science and foster collaboration– even for those of different skill levels. 

3

Data Visualization for Digital Twins

Ever wish you had a twin? Try going digital instead. A digital twin (DT) is a virtual representation of a physical object. This article highlights the importance of DTs and how visualization techniques can be used for them in different applications.

Videos

Mesh Shaders and the History of Computer Graphics

Mesh Shaders and the History of Computer Graphics

This video’s lesson will focus on Mesh shaders, which expose the full power of generalized GPU compute capability to the geometry processing pipeline. According to Dr. Jon Peddie, this can unlock a new level of flexibility and performance. 

Uncertainty Visualization for Graph Coarsening

Uncertainty Visualization for Graph Coarsening

Sometimes, real-world data calls for complex and costly visualizations, making their analysis a pain to understand. In this video, researchers explore the practice of graph reduction, a method used to reduce the size of a graph while preserving vital properties.

More Resources

Resources for Computer Vision Professionals

Thinking of joining the field or learning more about an adjacent career path? Let our resource page be your go-to ‘one-stop shop’ to get started. Get up to speed on the skill sets needed, research provided, and market expectations to begin your journey.

SE Radio Podcast

Episode 318: Veronika Cheplygina on Image Recognition

Vital to computer vision, image recognition enables computers to identify objects, features, or patterns within an image. In this episode, Veronika Cheplygina further expands on this topic, sharing how to obtain satisfactory data sets and what to avoid.

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