SUPR
Machine Learning for Intergenerational Inequality
Dnr:

sens2025504

Type:

NAISS SENS

Principal Investigator:

Sanni Kuikka

Affiliation:

Stockholms universitet

Start Date:

2025-01-15

End Date:

2026-02-01

Primary Classification:

50401: Sociology (Excluding Social Work, Social Anthropology, Demography and Criminology)

Webpage:

Allocation

Abstract

This project is designed to test a portal between MONA (SCB) and BIANCA, for processing sensitive personal data. The testing is done by transferring data from MONA to BIANCA, to increase the computational resources needed to use more complex statistical algorithms, in combination with large amounts of sensitive population register data. The testing is done with data from a MONA project called "Intra-, inter- multigenerationell och kategorisk ojämklihet", PI Martin Hällsten at Stockholm University. The computing is done for two articles within a PhD project by Sanni Kuikka, using supervised machine learning methods for understaning intergenerational inequalities in the human life course.