Next in Data Visualization - Interactive Systems for Intelligence Augmentation
Harvard University via YouTube
Overview
Explore interactive data visualization as a tool for studying user interface design and human-computer interaction in this 28-minute conference talk from the Next in Science series at Harvard University's Radcliffe Institute. Delve into Arvind Satyanarayan's research, which has garnered awards and is utilized by Wikipedia and the Jupyter/Python data science communities. Learn about human-centered AI, cross-filtering, declarative specification, and visualization tools like Vega-Lite, Voyager, and Lyra. Discover innovative concepts such as semantic dictionaries, neural networks, and semantic painting applications. Gain insights into domain-specific abstractions and future directions in the field of data visualization and intelligence augmentation.
Syllabus
Intro
Humancentered AI
Crossfiltering
Declarative specification
Visualization in Vega Lite
Voyager
Lyra
Dogs
Hidden Layers
Feature Visualization
Semantic Dictionaries
Neural Network
Semantic Painting Application
Semantic Painting Analogy
Domain Specific Abstractions
Looking Ahead
Conclusion
Taught by
Harvard University