The five papers in the DRS 2022 track “AI and the Conditions of Design: Towards A New Set of Design Ideals” offer radical lenses to change the narrative around AI and open pathways towards pluralist digital futures, signaling redirections for experimenting with more inclusive and imaginative design practices.
This article discusses Deep Mapping in Geography teaching and learning by drawing on a case study of a summer school organised during the COVID-19 pandemic. Deep Mapping was used to foster deep learning among the students and teach them about a distant place and people. The exercise tasked the students to work on the creation of layered maps representing the fieldwork site, the city of Vancouver, Canada. Critical student reflections about the Deep Mapping process are used to address some of the benefits and challenges. The Deep Mapping exercise stimulated the students to critically engage with the diverse summer school materials, move beyond a superficial view of the city, maps and mapping, and reflect on their positionality. The method is promising in light of making deep engagement with other places more accessible to those who might not have or be inclined to access such international educational experience and also offers another opportunity for blended learning. In conclusion, we argue that Deep Mapping offers a timely and highly engaging approach to learn about a place and people from another part of the world – be it on location or at a distance.
While the importance of professional support following very preterm delivery (VP) is established, the parental experience of support still warrants deeper understanding. Evaluation of a Dutch one-year post-discharge responsive parenting intervention following VP suggested that parents with lower educational levels benefitted less from the program. This idiographic phenomenological study investigated the lived experiences of two mothers with differing educational backgrounds receiving professional support during hospitalization and post-discharge. In-depth interviews with the mothers were analyzed using Interpretative Phenomenological Analysis. We formulate three impressions: (1) How the mothers made sense of their experiences resonated with the findings of research on class differences in parenting. (2) The mothers valued professionals who struck a personalized balance between supporting their maternal agency and attending to their vulnerability and needs for help and perspective. (3) The mothers experienced greater trust in professionals who could suspend pre- conceived assumptions and take their personal characteristics into consideration. Practice suggestions are extrapolated for social work professionals. The study has relevance to educational diversity and recommends an overarching sensitivity to positionality in professional work with parents.
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Climate change adaptation has influenced river management through an anticipatory governance paradigm. As such, futures and the power of knowing the future has become increasingly influential in water management. Yet, multiple future imaginaries co-exist, where some are more dominant that others. In this PhD research, I focus on deconstructing the future making process in climate change adaptation by asking ‘What river imaginaries exist and what future imaginaries dominate climate change adaptation in riverine infrastructure projects of the Meuse and Magdalena river?’. I firstly explore existing river imaginaries in a case study of the river Meuse. Secondly, I explore imaginaries as materialised in numerical models for the Meuse and Magdalena river. Thirdly, I explore the integration and negotiation of imaginaries in participatory modelling practices in the Magdalena river. Fourthly, I explore contesting and alternative imaginaries and look at how these are mobilised in climate change adaptation for the Magdalena and Meuse river. Multiple concepts stemming from Science and Technology Studies and Political Ecology will guide me to theorise the case study findings. Finally, I reflect on my own positionality in action-research which will be an iterative process of learning and unlearning while navigating between the natural and social sciences.
