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Supporting Data Journalism Through Compilers for Visual Inputs

Offered By: Strange Loop Conference via YouTube

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Strange Loop Conference Courses Programming Languages Courses Data Visualization Courses Compilers Courses Geospatial Analysis Courses

Course Description

Overview

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Explore innovative approaches to data journalism through compilers for visual inputs in this conference talk from Strange Loop. Dive into research on transforming visual elements like data graphics, thematic maps, and story sketches into interactive programs. Examine two key projects: reviz, which reverse engineers data visualizations from the DOM, and cartokit, which enables interactive thematic map development through direct manipulation. Discover the unique compilation challenges associated with treating visual inputs as source programs and gain insights from real-world experiences working with data journalists. Learn from Parker Ziegler, a Ph.D. student at UC Berkeley, as he shares his expertise in developing novel programming languages and interfaces for geospatial analysis and cartographic design in data journalism.

Syllabus

"Supporting Data Journalism through Compilers for Visual Inputs" by Parker Ziegler


Taught by

Strange Loop Conference

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