Wenwen Dou

Wenwen Dou is an Associate Professor in the Department of Computer Science at the University of North Carolina at Charlotte. She leads research in Visual Text Analytics, focusing on integrating statistical methods with interactive visualization to analyze large-scale textual data. Her work spans social media analysis (e.g., studying movements like Occupy through Twitter streams) and science impact analysis (assessing federal funding effects on research trends). She is affiliated with the Charlotte Visualization Center and holds a Ph.D. in Computer Science from her current institution.

Her research interests emphasize visual analytics applications in social media, policy impact, and data-driven decision-making. Notable projects include developing systems like Crystalball for event prediction from social media and Urban Space Explorer for urban planning. She explores how visualizations influence public perception, trust, and decision-making, particularly in contexts like medical misinformation and railroad safety.

Publications highlight interdisciplinary approaches, combining machine learning with visualization techniques to address challenges in healthcare, infrastructure safety, and ethical leadership. Her work often bridges computational methods with human factors, aiming to enhance transparency and informed decision-making through innovative visual frameworks.