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Tuba Bircan

Publications and source records attributed to Tuba Bircan.

2 recordsLinked to original sources

Reply To: Global Gridded Population Datasets Systematically Underrepresent Rural Population by Josias L\'ang-Ritter et al

The paper titled ''Global gridded population datasets systematically underrepresent rural population'' by Josias L\'ang-Ritter et al. provides a valuable contribution to the discourse on the accuracy of global population datasets, particularly in rural areas. We recognize the efforts put into this research and appreciate its contribution to the field. However, we feel that key claims in the study are overly bold, not properly backed by evidence and lack a cautious and nuanced discussion. We hope these points will be taken into account in future discussions and refinements of population estimation methodologies. We argue that the reported bias figures are less caused by actual undercounting of rural populations, but more so by contestable methodological decisions and the historic misallocation of (gridded) population estimates on the local level.

q-bio.PE

Combining Twitter and Mobile Phone Data to Observe Border-Rush: The Turkish-European Border Opening

Following Turkey's 2020 decision to revoke border controls, many individuals journeyed towards the Greek, Bulgarian, and Turkish borders. However, the lack of verifiable statistics on irregular migration and discrepancies between media reports and actual migration patterns require further exploration. The objective of this study is to bridge this knowledge gap by harnessing novel data sources, specifically mobile phone and Twitter data, to construct estimators of cross-border mobility and to cultivate a qualitative comprehension of the unfolding events. By employing a migration diplomacy framework, we analyse emergent mobility patterns at the border. Our findings demonstrate the potential of mobile phone data for quantitative metrics and Twitter data for qualitative understanding. We underscore the ethical implications of leveraging Big Data, particularly considering the vulnerability of the population under study. This underscores the imperative for exhaustive research into the socio-political facets of human mobility, with the aim of discerning the potentialities, limitations, and risks inherent in these data sources and their integration. This scholarly endeavour contributes to a more nuanced understanding of migration dynamics and paves the way for the formulation of regulations that preclude misuse and oppressive surveillance, thereby ensuring a more accurate representation of migration realities.

cs.SI