0000-0001-6826-3550
Causal claims about scientific rigor require rigorous causal evidence.
robustclear
The Generalizability Crisis
clearexciting
A Decision Theoretic Framework for Measuring AI Reliance
Erie: A Declarative Grammar for Data Sonification
Evaluating the Utility of Conformal Prediction Sets for AI-Advised Image Labeling
Milliways: Taming Multiverses through Principled Evaluation of Data Analysis Paths
Trust and Reliance in Evolving Human-AI Workflows (TREW)
REFORMS: Consensus-based Recommendations for Machine-learning-based Science
Designing Shared Information Displays for Agents of Varying Strategic Sophistication
The Rational Agent Benchmark for Data Visualization
Some problems with zooming out as scientific reform
What’s Driving Conflicts Around Differential Privacy for the U.S. Census
Swaying the Public? Impacts of Election Forecast Visualizations on Emotion, Trust, and Intention in the 2022 U.S. Midterms
Some problems with zooming out as science reform
MetaExplorer : Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis
Workshop on Trust and Reliance in AI-Human Teams (TRAIT)
multiverse: Multiplexing Alternative Data Analyses in R Notebooks
Dupo: A Mixed-Initiative Authoring Tool for Responsive Visualization
EVM: Incorporating Model Checking into Exploratory Visual Analysis
Design Patterns and Trade‐Offs in Responsive Visualization for Communication
Exploring the Effects of Aggregation Choices on Untrained Visualization Users' Generalizations From Data
Uncertainty Visualization
Evaluating Visualization Sets: Trade-offs Between Local Effectiveness and Global Consistency
Keeping Multiple Views Consistent: Constraints, Validations, and Exceptions in Visualization Authoring
0000-0001-6826-3550
All endorsersAll endorsers