RSS Journal Webinar: ‘Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models’. Author: Daniel W. Apley (Northwestern) Discussants: Giles Hooker (Pennsylvania) & Qingyuan Zhao (Cambridge) Chair: Angela Montanari (Bologna) Date: Monday 23 Sept 2024 Time: 16:00- 17:00 GMT+1 Location: Online The RSS is pleased to announce the first of its 2024 Journal Webinar programme with Daniel Apley’s 2020 Series B Paper ‘Visualizing the Effects of Predictor Variables in Black Box Supervised Learning Models’, chaired by Angela Montanari with contributions from Giles Hooker and Qingyuan Zhao.