This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants' digital practices in the configuration of migration and borders. Besides taking proper care of research participants' privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers' own positioning as being part of the challenge they seek to address.

The Migration Mobile offers an account of the very different technologies implicated in border crossing and migration management. Borders have been sites of contestations and struggles over who belongs and who does not, who is and is not allowed to move freely in transnational or national spaces. Embedded as they are in the bordering process, policing and security practices produce the irregularity and illegitimacy of the migrating subject. At the same time, border practices simultaneously imply processes of dissidence and resistance. Border infrastructures and resistance to bordering practices refer to dynamic and complex interactions between migrants and non-human others, technologies at the borderland and elsewhere. Border guards, EU officials, Frontex officers, activists, NGOs and solidarity networks configure both hybrid alliances of humans/nonhumans and new virtual and urban spaces in order to enforce or resist bordering. Through analyses of empirical cases drawing from the European border regimes the book investigates how technologies employed by states and EU border agencies configure the border regimes; how spaces of migration are configured through uses and re-uses of high-tech technologies; and finally on how the border regimes and 'the border industrial complex' are contested reconfigured by the use of ICT by migrants and solidarity networks.

This Open Access book investigates the methodological and ethical dilemmas involved when working with digital technologies and large-scale datasets in relation to ethnographic studies of digital migration practices and trajectories. Digital technologies reshape not only every phase of the migration process itself (by providing new ways to access, to share and preserve relevant information) but also the activities of other actors, from solidarity networks to border control agencies. In doing so, digital technologies create a whole new set of ethical and methodological challenges for migration studies: from data access to data interpretation, privacy protection, and research ethics more generally. Of specific concern are the aspects of digital migration researchers accessing digital platforms used by migrants, who are subject to precarious and insecure life circumstances, lack recognised papers and are in danger of being rejected and deported. Thus, the authors call for new modes of caring for (big) data when researching migrants' digital practices in the configuration of migration and borders. Besides taking proper care of research participants' privacy, autonomy, and security, this also spans carefully establishing analytically sustainable environments for the respective data sets. In doing so, the book argues that it is essential to carefully reflect on researchers' own positioning as being part of the challenge they seek to address.