Mathilde Bålsrud Mjelva
Doctoral Researcher
Email: matmje@prio.org
Research Interests
Social media, patterns and determinants of migration, climate-conflict nexus, survey methodology, machine learning
PhD student at PRIO.
I have previously worked as research assistant at PRIO on two migration-related projects: QuantMig and FUMI. My work on these projects focused particularly on determinants and drivers of migration and migration aspirations through the use of survey data 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
Latest publications
All publications
Consequences of the Invasion of Ukraine for Migration from the Global South
PRIO Policy Brief
Systematic review of determinants of migration aspirations
Report - External Series
Survey instruments and survey data on migration aspirations
Report - External Series
Rainfall Variability and Violent, State-Based Conflict: A Machine Learning Approach to Estimate Context Specificity
Master Thesis
Latest news
How can we best ask about migration plans and desires?
Over the past few decades, thousands of people have responded to survey questions about their thoughts and feelings about possibly migrating. The resulting data can be valuable in migration research but are as good as the questions that are asked in survey. A new paper looks in depth at question formulations and creates an inventory of data.
What makes people want to migrate?
Thousands of people have responded to surveys with questions about their wishes or plans for migration and researchers have analyzed the data to identify the drivers. But until now, the results have been fragmented. In the first-ever systematic literature review four PRIO researchers map out what makes people want to migrate.
Mathilde Bålsrud Mjelva Successfully Defends Master's Thesis
This week Mathilde Bålsrud Mjelva defended her thesis "Rainfall variability and violent, state-based conflict: A machine learning approach to estimate context specificity", and achieved top marks. Congratulations Mathilde!
