| Upcoming Seminars |
Title to be announced
Brandon William, UC Berkeley
Title to be announced
Frank Thorne, University of South Carolina
Colloquium: Computational Mathematics
Optimization Methods for Training Neural Networks
Jorge Nocedal, Northwestern University
| Past Seminars |
Congruence of Galois representations
Sujatha Ramdorai, University of British Columbia
Extremal Problems for Graphs and Hypergraphs
Bill Kay, Emory University
Seminar: Computer Science
Designing Abstract Meaning Representations
Martha Palmer, University of Colorado
A Method for Landscape Exploration in Global Optimization.
Manuela Manetta, Emory University
Curvature through Cubes
Michael Carr, Emory University
Bias and Uncertainty in Information Visualization
Michael Correll, University of Washington
Venue: Mathematics and Science Center, Room W303
We often turn to data to help us make sense of an uncertain world. However, the uncertainty in our data is often esoteric, complex, or counter-intuitive. It can be challenging to present this uncertainty, especially to audiences without backgrounds in statistics.
Charts, graphs, and other visualizations of data address this issue by making people into “visual statisticians:” we can estimate statistical properties through visual inspection. However, just as statistical measures can be subject to bias, visualizations can also introduce bias.
In this talk, I show how designers can intervene to create new visualizations that correct these biases, and improve the judgments of visual statisticians. From this perspective of designing for de-biasing, I focus on two common visualizations: error bars and thematic maps. I present visual alternatives for error bars that avoid “within-the-bar” bias while also promoting statistically grounded comparisons between means. I also present “Surprise Maps,” a technique for thematic maps that relies on Bayesian reasoning to highlight interesting regions that might otherwise be hidden in traditional maps. I conclude with a discussion of remaining challenges for visual de-biasing, and how we might use visualizations to encourage better, data-driven decision-making.
The Distribution Of The Number Of Prime Factors With Restrictions - Variations Of The Classical Theme
Krishna Alladi, University of Florida
Bounded colorings of graphs and hypergraphs
Jan Volec, McGill University
Optical Design from Art to Car Mirrors
Sarah Rody, Drexel University