ABSTRACT
This chapter explores how datafication shapes the bordering practices and lives of undocumented migrants. Datafication involves a temporal shift towards anticipation that focuses on predicting, profiling and preempting different forms of migration. The empirical data consists of diaries and interviews, as well as documents and legal cases of undocumented migrants and asylum seekers in Finland. The case studies show that data used on borders is often produced from various sources with inconsistent practices and inherent biases. In addition, datafication has rendered borders ubiquitous: borders follow people in their digital everyday life, causing uncertainty, mistrust and embodied anticipation of surveillance. Overall, the chapter argues that in the anticipatory temporality of data-fied borders, humanity itself becomes evaluated and assorted through inconsistent and biased data practices.
