VACLab Papers at IEEE VIS 2021

VACLab-ers present their latest research including the use of counterfactuals to improve inferences from visualizations, population health for COVID-19, and visualization as a behavioral nudge.

Alex Rich Discusses Iterative Visualiation Design in New Nightingale Article

The CDC uses visualization to communicate. There's always room for improvement...

New Survey of Visual Analytics Methods for Event Sequence Data to Appear in IEEE TVCG

A review of state-of-the-art visual analytics approaches, a formalized design space, and open challenges for future work.

New Work Presented at 2021 AMIA Informatics Summit

Wang et al.'s podium abstract describes an evaluation of medical NLP libraries when applied to patient-reported adverse event reports.

New Paper to Appear at ACM CHI Examines Analytic Focus During Visual Analysis

Zhou et al. describe and evaluate a new approach to modeling and leveraging a user's analytic focus during visual analysis tasks.

2020 Election Map

Visualizing the popular vote by state for the 2020 US Presidential election.

New Paper on Visual Causal Analysis for Event Sequence Data at IEEE VIS 2020

Jin et al. introduce SeqCausal, a visual analytics approach to causal analysis of event sequence data.

Fighting Selection Bias in EHR Data Analyses at the 2020 AMIA Annual Symposium

A new AMIA Podium Abstract describes a novel way to combat selection bias in retrospective EHR data analyses.

New Paper on Selection-Bias Corrected Visualizations at IEEE VIS 2020

Borland et al. introduce new methods for selection-bias-corrected visualizations.

New NIH Grant: Advancing Data Science Tools for COVID-19 Analyses

A new NIH award supports adaptation of Cadence visual analytics technologies to COVID-19-motivated use cases.