Daily schedule:

• Lectures: 9-12 MT
• Trust-a-thon: 1-4 MT 

Monday

Morning lecture topics

• What does it mean to trust? An interdisciplinary perspective
• Insights on (meaningful) interdisciplinary work in the AI/ML development process
• Evaluation metrics for classification and regression
• XAI for traditional machine learning

Trust-a-thon topics

• TBA

Tuesday

Morning lecture topics

• Explainability v.s. Interpretability
• XAI Techniques for deep learning

Trust-a-thon topics

• TBA

Wednesday

Morning lecture topics

• Trustworthiness of Data and implications for workflows from collection through to designing analyses
• The importance of case studies and tips for using them effectively

Trust-A-Thon topics

• TBA

Thursday

Morning lecture topics

• Uncertainty quantification methods
• Evaluating uncertainty quantification
• Communicating uncertainty: numerical and verbal representations, visualizations, mapping

Trust-a-thon topics

• TBA