Publicaties
Beyond Economic and Educated: Reconceptualising Skill in EU Migration Policy Through Contextual Adaptability Vrije Universiteit Brussel
Digital technologies in EU migration governance Vrije Universiteit Brussel
New frontiers in migration statistics Vrije Universiteit Brussel
Understanding and managing international migration relies heavily on the availability of timely, accurate, and detailed data. Traditional migration statistics, though foundational, often suffer from delays, limited granularity, and inconsistencies across countries. In response, researchers and institutions have increasingly turned to big data sources, including social media activity, mobile phone records, satellite imagery, and web-scraped ...
What is irregular migration? Vrije Universiteit Brussel
Deciphering climate-induced displacement in Somalia: A remote sensing perspective Vrije Universiteit Brussel
The relationship between authentic leadership and workplace loneliness during the COVID-19 pandemic Vrije Universiteit Brussel KU Leuven
Purpose: Based on the social penetration theory and affect theory of social exchange, this study aims to examine the relationship between authentic leadership (AL) and workplace loneliness (WL), as well as the mediating effect of interactional justice (IJ) on this relationship during the COVID-19 pandemic in the US higher education sector. Design/methodology/approach: An online, self-administrated questionnaire was distributed to full-time ...
Emerging big data sources for studying migration Vrije Universiteit Brussel
In this chapter, we provide an overview of migration measures based on traditional data sources and describe the use of emerging big data sources for migration and mobility indicators. We provide applications of big data analytics for migration measures, discussing ethical considerations of using big data in this domain. We focus on the advantages and disadvantages of specific data sources and provide example applications. Then, we speculate ...
Machine Discriminating Vrije Universiteit Brussel
This study scrutinizes Automated Speech Recognition (ASR) software, a powerful instrument to expedite the translation process, and their unintended bias against Arabic speakers, particularly refugees. We propose that pre-existing biases in ASR training data reflect societal prejudices, leading to orientalist and Islamophobic misrepresentations. We used four ASR tools to transcribe interviews with Arabic-speaking refugee women, employing ...
Can Google Trends predict asylum-seekers’ destination choices? Vrije Universiteit Brussel KU Leuven
Google Trends (GT) collate the volumes of search keywords over time and by geographical location. Such data could, in theory, provide insights into people’s ex ante intentions to migrate, and hence be useful for predictive analysis of future migration. Empirically, however, the predictive power of GT is sensitive, it may vary depending on geographical context, the search keywords selected for analysis, as well as Google’s market share and its ...