Midwest Uncertainty Collective

A Guide to Plotting Inferences & Uncertainties of Bayesian Models

Jessica Hullman Learning Bayesian Statistics (Podcast) / 2022

Using Theories of Decision-Making Under Uncertainty to Improve Data Visualization

Jessica Hullman Invited talk at Simons Institute / 2022

The worst of both worlds: a comparative analysis of errors in learning from data in psychology and machine learning

Jessica Hullman Invited talk at Reproducibility workshop at Princeton University / 2022

An investigation into user expectations for differential privacy

Jessica Hullman with Rachel Cummings Presentation at Microsoft Research Summit / 2022

Detecting, Tracking, Mitigating, and Preventing Wildfires and Improving Science Communication

Jessica Hullman Invited talk at President’s Council of Advisors on Science and Technology (PCAST) / 2022

Visualizations as Model Checks

Jessica Hullman Presentation at Marvin Zelen Symposium: Data Visualization / 2022

Uncertainty Visualization & Usable Stats

Matthew Kay Learning Bayesian Statistics (Podcast) / 2022

Visualization and Statistics

Jessica Hullman with Andrew Gelman Data Stories (Podcast) / 2022

Theories of Inference for Data Interactions

Jessica Hullman Generable (Webcast) / 2021

Uncertainty visualization with tidybayes and ggdist

Matthew Kay Webinar at Bayes@Lund / 2021

Uncertainty visualization as a moral imperative

Matthew Kay Invited talk at BostonCHI / 2021

Uncertainty visualization and Bayes

Matthew Kay Generable (Webcast) / 2020

A Picture is Worth a Thousand Stories: Visualizing COVID-19

Jessica Hullman, Matthew Kay Invited talk at Northwestern Buffett Institute for Global Affairs / 2020

Building effective uncertainty visualizations with tidybayes and ggdist

Matthew Kay Invited talk at StanCon / 2020

A biased tour of the uncertainty visualization zoo

Matthew Kay Keynote at Tapestry Conference / 2018

Seeing What We (Should) Think Through Visualization Interaction

Jessica Hullman Invited talk at MIT CSAIL HCI Seminar / 2018

Tidy data and Bayesian analysis make uncertainty visualization fun

Matthew Kay Keynote at OpenVis Conference / 2018

The Visual Uncertainty Experience

Jessica Hullman Keynote at OpenVis Conference / 2016