A team of four graduate students in the School of Information Sciences won first place in the Data Visualization Competition sponsored by University Library’s Scholarly Commons. Though the team ...

Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.

Through rigorous, data-based analysis, researchers and analysts can add to our understanding of societal shortcomings and point toward evidence-based solutions. But carelessly collecting and ...