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.

New JAMIA Article: Responding to COVID-19

A new article in JAMIA highlights the VACLab's rapid response visualization system developed in partnership with NC DHHS.

Making the COVID Commitment

Serving our state and beyond, VACLab members put research on hold to work on a variety service projects to aid the COVID-19 response.