With Ezra Halleck (New York City College of Technology)
MAA's webwork problem library has been in existence for 20+ years now. Problems are submitted from around the world, but mostly from North America and then vetted by volunteers. Presently, there is a backlog of submitted problems. Substantial progress in reducing this backlog is planned for this summer and a training workshop will be happening in early July: https://openwebworkorg.wordpress.com/opl-code-camp/. As technology improves and the feasibility of creating problems that have students work with medium-size datasets gets implemented, what types of statistical inference, data science and machine learning problems should we be creating?