RobustiPy: A hackaton to make empirical research more robust

The Leverhulme Centre for Demographic Science and Centre for Care are hosting a free RobustiPy hackathon at the University of Oxford’s Saïd Business School on Thursday 27 June. Robustipy is an efficient multiversal library with model selection, averaging, resampling, out-of-sample analysis, and more. Developed for Python (and in the future for R), it is designed to be both accessible and computationally efficient. The aim of this hackathon is to solicit feedback on RobustiPy and to offer you the chance to test your own datasets. Please register by Thursday 13 June if you have an understanding of regression modelling, some Python experience, and an interest in the future of computational statistics