Traditional housing careers are being re-configured. Home ownership is declining and a parallel increase in renting has lead some commentators to suggest that this is creating a generation of renters. I argue that there is a further significant housing shift that deserves our attention – share housing. Share housing in the twenty-first century is different as evidence shows that people are sharing for longer and across widening age demographics; and that access to and experience of share housing is increasingly mediated by the digital. However, scant attention has been paid to share housing beyond its stereotype as transitional housing for young people between the family home and individual home ownership. Here I provoke geographers to take seriously, ‘Generation Share’ and the digitalised geographies of shared housing.

Algorithms have been the focus of important geographical critique, particularly in relation to their harmful and discriminatory effects. However, less attention has been paid to engaging more deeply with the epistemological effects of algorithms, the result being that geographers continue to overlook more generative algorithmic potentials, practices, epistemes and methodologies. This paper progresses our engagements with algorithms by first considering practices of care as a means to reframe our relationship with algorithms. Second, the paper identifies an epistemological rupture that allows us to reconceptualise algorithms as co-researchers, enabling us to encounter new spaces and understand these spaces in new ways.

Some of the largest tech companies in the world, not to mention a stream of smaller startups, are now our roommates. Homes have become the target for smart devices and digital platforms that aim to upgrade old appliances, like refrigerators, and provide new capabilities, like virtual assistants. While smart devices have been variously championed and demonized in both academic literature and popular media, this article moves critical analysis beyond the common—but still important—concerns with privacy and security. By directing our attention to the wider political economy of datafication, it reveals the increasingly influential, yet shadowy, role of industries outside the tech sector in designing and deploying surveillance systems in domestic spaces. Namely, the FIRE sector of finance, insurance, and real estate. When Amazon and Google moved into our homes, they also let in a suite of uninvited third parties.

Home, digital technologies and data are intersecting in new ways as responses to the COVID-19 pandemic emerge. We consider the data practices associated with COVID-19 responses and their implications for housing and home through two overarching themes: the notion of home as a private space, and digital technology and surveillance in the home. We show that although home has never been private, the rapid adoption and acceptance of technologies in the home for quarantine, work and study, enabled by the pandemic, is rescripting privacy. The acceleration of technology adoption and surveillance in the home has implications for privacy and potential discrimination, and should be approached with a critical lens.