AI & ML
Repertoires of Contention: Building computational tools and infrastructures for community resistance to bitcoin mining
arXiv cs.HC0 views
arXiv:2611.13527v1 Announce Type: cross Abstract: Recent work in human-computer interaction and allied fields has sought to engage community members as co-designers, facilitators, and decision makers to challenge structural power barriers and knowledge gaps. In this paper, we apply a diverse set of computational techniques to engage and address community concerns surrounding the socio-environmental impacts of the Greenidge Bitcoin mining power plant facility in upstate New York. Through collaborative interactions with community groups, addressing problems ranging from regulatory inertia to thermal water pollution, we aim to facilitate not just the production of new and critical environmental knowledge but also new computationally-supported repertoires of contention: means of contesting the unequal relations of knowledge and power that structure and often determine the outcomes of environmental controversies. We argue such engagements can help support more politically engaged forms of HCI, oriented towards efforts to redress and repair disparities in wealth, knowledge, and influence through strategic sociotechnical interventions and alliances.
Source:https://arxiv.org/abs/2611.13527PreviousLeveraging Psychophysical Attentional Distribution for Gaze-Augmented Reward ModelingNextPerspicacious: An Educational Intelligence Platform for Instructional Designers
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