Visualizations allow analysts to rapidly explore and make sense of their data. The
ways we visualize data directly influence the conclusions we draw and decisions we make; however,
our knowledge of how visualization design influences data analysis is largely grounded in
heuristics and intuition. My research instead empirically models how people interpret visualized
data to understand limitations in current visualization systems. We use these results to develop
novel visualization systems that support accurate analysis of complex data and better scale to the
needs of modern analytics challenges by incorporating interactive statistical analytics and novel
display technologies to increase the accessibility, scalability, and pervasiveness of data-driven
reasoning. In this talk, I will discuss our efforts towards improving exploratory data analysis
tools across a variety of domains and how a range of modeling techniques can help improve
Abou the Speaker
Danielle Albers Szafir is an Assistant Professor in the Department of Computer
Science and a Fellow in the ATLAS Institute at the University of Colorado Boulder. She is also an
affiliate professor and member of the founding faculty of the Department of Information Science and
Fellow in the Institute of Cognitive Science. Her research, which sits at the intersection of
information visualization, data science, and cognitive science, has been integrated into leading
tools such as D3 and Tableau, has received best paper awards at IEEE VIS and IS&T Color and
Imaging, and led to her inclusion in the Forbes 30 Under 30 Class of 2018 for Science. She received
a B.S. in Computer Science at the University of Washington as a NASA Space Grant Scholar and a
Ph.D. in Computer Sciences at the University of Wisconsin-Madison.
About the Series
The Lecture Series is organized every winter term and consist of talks with international
speakers. The speakers are experts from various fields and professions. The talks are aimed at
covering the whole spectrum of visual computing and at discussing the relevance of quantification.
This years lecture series will be held entirely online.
This is an online event only.
Registration: If you would like to attend, please email
Leonel Merino to