This paper introduces the Feral Map, an open online map that brings together different creative practices questioning the dominant extractive, technocentric rendering and legitimising of particular algorithmic futures. Building on its initial development drawn upon open urban tree data, it invites people to explore and engage with their surroundings in creative, unfamiliar ways and share their experiences in the form of stories, using different kinds of media, sensory impressions, and personal expressions. These stories can be offered to existing places and local “creatures” (such as animals, ambiences, and glitches) or become new creatures on their own, emphasising mattering and entanglements: that change is the only constant in life. Through this, the map obscures the currently available–mostly quantitative–data about a place, and can help to raise questions about power, values, and structural inequalities that shape the place and its future. The Feral Map has been evolving to include such stories and creatures–or messy data–from different creative, practice-based research projects. Our paper presents the theoretical framing of the Feral Map and its design, how it has been transforming along with the involved projects, as well as our learnings from the process and possible future directions.
Peer-reviewed artikel over semantische segmentatie van point clouds.
MULTIFILE
Abstract Technology has a major impact on the way nurses work. Data-driven technologies, such as artificial intelligence (AI), have particularly strong potential to support nurses in their work. However, their use also introduces ambiguities. An example of such a technology is AI-driven lifestyle monitoring in long-term care for older adults, based on data collected from ambient sensors in an older adult’s home. Designing and implementing this technology in such an intimate setting requires collaboration with nurses experienced in long-term and older adult care. This viewpoint paper emphasizes the need to incorporate nurses and the nursing perspective into every stage of designing, using, and implementing AI-driven lifestyle monitoring in long-term care settings. It is argued that the technology will not replace nurses, but rather act as a new digital colleague, complementing the humane qualities of nurses and seamlessly integrating into nursing workflows. Several advantages of such a collaboration between nurses and technology are highlighted, as are potential risks such as decreased patient empowerment, depersonalization, lack of transparency, and loss of human contact. Finally, practical suggestions are offered to move forward with integrating the digital colleague