Triandafyllidou: How AI and digital data shape our understanding of migration

Captures some of the challenges well in terms of integrating and understanding what the various data sources and the need to ensure the underlying data is solid. Data is rarely perfect:

…No single dataset offers a complete picture. Administrative records provide legal and demographic precision but often arrive slowly. Surveys reveal motivations and lived experiences but are costly and difficult to conduct during crises. Digital traces offer speed and scale but may overlook important populations and contexts. 

Each source captures different dimensions of migration. Together, they provide a richer understanding than any could alone.

As governments invest in artificial intelligence and data-driven governance, this lesson becomes increasingly important. The availability of real-time big data should not obscure other types of data that complement the picture.

If AI is truly to work for all, as the Canadian AI strategy suggests, we must look beyond algorithms themselves and pay closer attention to the data on which they depend.

The question is not whether we use proxies to understand migration. We always have. The real question is which proxies we use, what they reveal and what they leave unseen.

Source: Triandafyllidou: How AI and digital data shape our understanding of migration