Data Visualization Masterclass
This online-only training event will occur prior to the VIZBI 2022 conference. Over two half-day sessions, the Masterclass provides a tour-de-force of state-of-the-art methods in data visualization, taught by internationally recognized experts. The event is designed for anyone working with large, complex datasets. This includes scientists, programmers, communicators, and designers.
The course covers advanced data visualization methods that can be used to create insightful visual representations of complex data, and to create compelling visualizations for communication. These methods rely on principles of human visual perception, as well a knowledge of modern techniques and tools. Unfortunately, there are currently very few opportunities to receive training in these newly emerging methods.
To address this, we designed the Data Visualization Masterclass as an eight-hour event to provide participants with an up-to-date overview of current DataVis methods, as well as the opportunity to connect with — and learn directly from — leading DataVis practioners.
If you have further questions about the Masterclass, please write to .
Preliminary program:
| Monday, March 14 | |
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| 8:30am - 10:00pm PDT | Data visualization principles and practices (Seán O'Donoghue) Visualization is increasingly important for exploring complex datasets; but many of us struggle to create clear and effective visualisations, often assuming we lack natural talent. To address this, you'll learn principles, methods, and tools used to create exemplary visualizations of biological data. You'll also learn how surprising limitations in visual perception, revealed by optical illusions, can teach us methods to avoid. Although primarily focused on 2D data, we'll also cover visualization of 3D and multidimensional data. |
| 10:00am - 10:30pm PDT | Meet-the-speaker (optional) + coffee break |
| 10:30am - 12:00pm PDT | Eye for design, mind for data: in search of balance (Martin Krzywinski) The goal of data visualization and information graphics is to reveal patterns and explain concepts with the minimum of fuss. You'll learn how to apply data visualization principles from Sean's class and borrow from key concepts in design to resuscitate confused, muddled and opaque figures. Through a large number of redesign case studies, you'll see how to practically apply ideas from Gestalt theory, typography, color, alignment, and composition. Submit graphics for redesign (PDF/AI/EPS) to martink@bcgsc.ca. |
| 12:00pm - 12:30pm PDT | Meet-the-speaker (optional) + coffee break |
| Tuesday, March 15 | |
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| 8:30am - 10:00pm PDT | Data visualization with WebGL (Daniel Haehn) WebGL allows access to a computer's GPU in the web browser, and developers can create immersive and high-quality graphics using this API. You will learn the fundamental concepts of the 3D rendering pipeline and how frameworks with different complexities enable WebGL development. We will then create multiple scientific visualizations that you can share with your friends using web links. |
| 10:00am - 10:30pm PDT | Meet-the-speaker (optional) + coffee break |
| 10:30am - 12:30pm PDT | Break |
| 12:30am - 2:00pm PDT | The problem of Time and Agency in molecular animation: How stop your molecules looking like they ‘know’ where to go. (Drew Berry) A frequent issue plaguing molecular animation is the way molecules are shown moving around the cell, incorrectly looking like they have agency with their movement, travelling to their reaction destination as if they know which way to go. Drew will present some techniques to reduce the sense of molecular agency, while also providing molecules human-watchable, stochastic-looking movement that remains under animator control for choreography of successful molecular storytelling. |
| 2:00pm - 2:30pm PDT | Meet-the-speaker (optional) + coffee break |
Image credits:
Benedetta Frida Baldi