Seminars archive
Upcoming Seminars   Seminar Compositional Models for Information Extraction Mark Dredze, Johns Hopkins University   Defense: Dissertation On Saturation Spectrum Jessica Fuller, Emory   Seminar: Algebra Finite index for arboreal Galois representations Andrew Bridy, Texas A and M   Defense: Honors A Study of Benford's Law for the Values of Arithmetic Functions Letian Wang, Emory University   Defense: Dissertation Scalable Computational pathology: From Interactive to Deep Learning Michael Nalisnik, Emory University   Defense: Honors Thesis The ArtinSchreier Theorem in Galois Theory Yining Cheng, Emory University Venue: Mathematics and Science Center, Room W303 Show abstract We first list and state some basic definitions and theorems of the Galois theory of finite extensions, as well as state and prove the Kummer theory and the ArtinSchreier extensions as prerequisites. The main part of this thesis is the proof of the ArtinSchreier Theorem, which states that an algebraic closed field having finite extension with its subfield F has degree at most two and F must have characteristic 0. After the proof, we will discuss the applications for the ArtinSchreier Theorem.   Defense: Dissertation ZeroCycles on Torsors under Linear Algebraic Groups Reed Sarney, Emory University   Defense: Master's RankFavorable Bounds for Rational Points on Superelliptic Curves Noam Kantor, Emory University   Seminar: Combinatorics Rank of matrices with few distinct entries Boris Bukh, Carnegie Mellon University   Seminar: Algebra Automorphisms of cubic surfaces in arbitrary characteristic Alexander Duncan, University of South Carolina  Past Seminars   Seminar: Computer Science Humancentered Data Science for Crisis Informatics Marina Kogan, University of Colorado   Seminar TBD TBD,   Seminar: Algebra Congruence of Galois representations Sujatha Ramdorai, University of British Columbia   Defense: Dissertation Extremal Problems for Graphs and Hypergraphs Bill Kay, Emory University   Seminar: Computer Science Designing Abstract Meaning Representations Martha Palmer,   Seminar A Method for Landscape Exploration in Global Optimization. Manuela Manetta, Emory University   Seminar Curvature through Cubes Michael Carr, Emory University   Computer Science Bias and Uncertainty in Information Visualization Michael Correll, University of Washington Venue: Mathematics and Science Center, Room W303 Show abstract 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 counterintuitive. 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 debiasing, I focus on two common visualizations: error bars and thematic maps. I present visual alternatives for error bars that avoid “withinthebar” 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 debiasing, and how we might use visualizations to encourage better, datadriven decisionmaking.   Seminar: Algebra The Distribution Of The Number Of Prime Factors With Restrictions  Variations Of The Classical Theme Krishna Alladi, University of Florida   Seminar: Combinatorics Bounded colorings of graphs and hypergraphs Jan Volec, McGill University 
