Introduction to machine learning for causal analysis using observational data - Online (join a waiting list)
|NCRM, University of Southampton|
Professor Paul Clarke and Dr Spyros Samothrakis
22/06/2021 - 23/06/2021
Online run by University of Southampton and the Research Centre on Micro-Social Change
View in Google Maps (SO17 1BJ)
This two-day online workshop will
The course covers:
By the end of the course participants will:
This course is aimed at all quantitative researchers, academic and non-academic, with experience/knowledge of performing causal analysis with data from observational studies and of some of the challenges (e.g. adjusting for confounding bias/selection on observables, non-random selection, endogenous regressors). It should be suitable for junior researchers or senior researchers who wish to get a hands-on introduction to this topic.
Some prior knowledge of programming would be desirable but not essential. Experience with some statistical package should be sufficient to understand and run the exercises. Some familiarity with high-level programming concepts. Ideally, if you want to participate in the practical element of the course, have a python interpreter installed in your computer.
Non required, but if you want to delve into the practical side of things, please do an online introductory python module to get some familiarity with the language.
See here for a list of tutorials:
Two-day online course, starting 9:30 and finishing 16:30, with an one hour break for lunch at 12:00. The morning will be standard teaching/discussion, while the afternoon will be guided problem solving/programming.
Intermediate (some prior knowledge)
The fee per teaching day is:• £30 per day for UK/EU registered students• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff, staff at UK/EU registered charity organisations and recognised UK/EU research institutions. • £100 per day for all other participantsIn the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date.If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course.The University of Southampton’s Online Store T&Cs also continue to apply.
Website and registration
Explanatory Research and Causal analysis, Machine Learning , , Causal Inference , , Observational Data
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