The Oxford Spring School 2024 is organised by the Department of Politics and International Relations at the University of Oxford and consists of seven courses in quantitative and qualitative methods, both in-person and online.

Participants who choose to attend one of these courses will also be invited to attend additional research methodology classes along with the full Spring School cohort in the mornings:

The course options are:
Data Analysis for the Social Sciences, taught by Spyros Kosmidis (Oxford);
Machine Learning, taught by Tom Robinson (LSE);
Causal Inference 1: (Design-Based Approaches), taught by Vicente Dinis Valentim (Oxford);
New for 2024! Causal Inference 2: (Survey & Field Experiments), taught by Rachel Bernhard (Oxford)
Qualitative Methods 1: (Interviews & Fieldwork), taught by Marnie Howlett (Oxford);
New for 2024! Qualitative Methods 2: (Process Tracing), taught by Jody LaPorte (Oxford);
Text Analysis, taught by Tom O’Grady (UCL);

You can only attend one of the five core course options, as they will run alongside each other in the afternoon. Find out more about the courses here: https://www.politics.ox.ac.uk/research-centre/spring-school/course-options