Mathilde Bålsrud Mjelva

Research Assistant

Research Interests

​Migration, climate-conflict nexus, statistical methodology and machine learning

Background

I work as a research assistant on several migration-related projects: QuantMig, FUMI, and MIGNEX. I work in particular with survey methodology and systematic literature reviews.

In 2020, I submitted my master's thesis in political science, titled "Rainfall variability and violent, state-based conflict: A machine learning approach to estimate context specificity".

Education:

2018-2020: MA, Political Science, University of Oslo, Sciences Po Paris and PRIO

2014-2017: BA, International Studies, University of Oslo and Sciences Po Paris

Languages spoken:

Norwegian, English, French, Spanish

Publications



Recent Publications

Aslany, Maryam; Jørgen Carling; Mathilde Bålsrud Mjelva; & Tone Sommerfelt (2021) Systematic review of determinants of migration aspirations, QuantMig deliverable, 2,2. Southampton: University of Southampton.
Carling, Jørgen; & Mathilde Bålsrud Mjelva (2021) Survey instruments and survey data on migration aspirations, QuantMig project deliverable, 2. Southampton: University of Southampton.

All Publications

Master Thesis

Mjelva, Mathilde Bålsrud (2020) Rainfall Variability and Violent, State-Based Conflict: A Machine Learning Approach to Estimate Context Specificity. MA thesis, Department of Political Science, University of Oslo, Oslo.

Report - External Series

Aslany, Maryam; Jørgen Carling; Mathilde Bålsrud Mjelva; & Tone Sommerfelt (2021) Systematic review of determinants of migration aspirations, QuantMig deliverable, 2,2. Southampton: University of Southampton.
Carling, Jørgen; & Mathilde Bålsrud Mjelva (2021) Survey instruments and survey data on migration aspirations, QuantMig project deliverable, 2. Southampton: University of Southampton.