To main content To navigation

Social Sciences

Winter school ‘Causal mediation analysis and machine learning’

When:

03 February - 04 February 2020

School:

InGRID-2

Institution:

KU Leuven

City:

Esch-sur-Alzette

Country:

Luxembourg

Language:

English

Credits:

0.0 EC

Interested?
Please note: this course has already ended
Winter school ‘Causal mediation analysis and machine learning’

About

The winter school on ‘Causal mediation analysis and machine learning’ aims at advancing the knowledge and expertise of PhD students as well as junior researchers in the field of causal inference and programme evaluation.

Course leader

LISER

Target group

Requirements for attending the workshop: previous knowledge of basic principles in statistics and econometrics are required at the undergraduate level.

Course aim

The first part of the two-day training session will focus on mediation analysis, which aims at disentangling a causal effect (e.g. the health effect of education) into different causal mechanisms (e.g. the health effect of education working through increased income). The second part will consider machine learning techniques aiming at leveraging big data with a large number of (control) variables for optimising outcome prediction and causal inference.

Interested?

When:

03 February - 04 February 2020

School:

InGRID-2

Institution:

KU Leuven

Language:

English

Credits:

0.0 EC

Visit school

Stay up-to-date about our summer schools!

If you don’t want to miss out on new summer school courses, subscribe to our monthly newsletter.