Visual Analytics Lab

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Director: 
Alex Endert
Faculty: 
Alex Endert
Our goal is to help people make sense of data. We research and develop interactive visualizations that couple machine learning with visual interfaces of data for exploration and sensemaking.
External Lab Website: 
http://va.gatech.edu/

This Lab's Projects

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Analyzing political subreddit similariy with a Visual Analytics approach
IAL - Interactive Analytics Library
Information Extraction in Data Journalism
KnowledgeVIS: Visualizing What Language Models Have Learned
Left, Right, and Gender: Exploring Interaction Traces to Mitigate Human Biases
Lumos: Increasing Awareness of Human Biases during Visual Data Analysis
MLB Statistics InfoVis
Podium: Ranking Data Using Mixed-Initiative Visual Analytics
PUNGA: Provenance-supported Undirected Node Graph Analytics
Questo : Interactive Objective Function as a tool for Model Selection
SCADE - Supportive Computational Analysis, Discovery and Exploration
Visual Analytics by Demonstration for Interactive Data Analysis
Visualizing Uncertainty in Immunization Rate Datasets
vitaLITy: Promoting Serendipitous Discovery of Academic Literature
Warning, Bias May Occur: Detecting and Mitigating Human Bias in Visual Analytics

Upcoming Demos

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No demos scheduled at this time.