Computing as if infrastructure mattered

Blanchette, Jean-François

doi:10.1145/2347736.2347748

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…It has been suggested that such mechanisms should be integrated into IoT middleware to perform data analysis operations on data streams. ''Computational thinking'' (Wing, 2006) calls for increased attention to building computing infrastructures that are mindful of the real-world complexities and engage with the existing economic and social aspects (Blanchette, 2012). This gap could be addressed by processing streams efficiently, by handling different formats and models as well as energy limitations of IoT environments (Mineraud et al, 2016), and by the timely generation of real-time information for IoT applications (Díaz et al, 2016).…”

Section: Designing Architectures For Iotmentioning

confidence: 99%

Mapping the Values of IoT

Nicolescu

Huth

Radanliev³

et al. 2018

Journal of Information Technology

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We investigate the emerging meanings of ''value'' associated with the Internet of Things. Given the current political economy, we argue that the multiple meanings of ''value'' cannot be reduced to a single domain or discipline, but rather they are invariably articulated at the juxtaposition of three domains: social, economic, and technical. We analyse each of these domains and present domain challenges and cross-domain implications -drawing from an interdisciplinary literature review and gap analysis across sources from academia, business, and governments. We propose a functional model that aggregates these findings into a value-driven logic of the emerging global political economy enabled by digital technology in general and IoT in particular. These conceptual contributions highlight the critical need for an interdisciplinary understanding of the meaning of ''value'', so that IoT services and products will create and sustain such concurrent meanings during their entire lifecycle, from design to consumption and retirement or recycling.

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Section: Designing Architectures For Iotmentioning

confidence: 99%

Mapping the Values of IoT

Nicolescu

Huth

Radanliev³

et al. 2018

Journal of Information Technology

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“…One output from the desk research literature review was the production of core and secondary readings. The decision was made that all current and new team members should at a minimum familiarise themselves with the core readings by Ali [7,8], Blanchette [9], Dennis [10] and Malazita and Resetar [11].…”

Section: Documenting the Project Scopementioning

confidence: 99%

What Does It Mean to Decolonise Computing and It - Another Dumb Buzzword or Re-Envisaging All Cultures and Knowledge Systems for How the World Is Framed?

Tompkins¹,

Ramage²

2023

INTED2023 Proceedings

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In this paper we describe the approach we have been taking at the Open University (OU), UK in the School of Computing and Communications (C&C), as we consider new ways of knowing in our decolonial transformation and consider what it means to decolonise a technical subject such as Computing and Information Technology education.As a scholarship project we aimed to set out a vision and a roadmap for what computing could and arguably should mean for computing educators at the OU, once decolonised. We aim to critically interrogate both content and pedagogy informed by Critical Race Theory and decolonial thought, with the overarching focus being to re-orient the teaching of the subject at module, curriculum and programme level.Decolonisation is therefore a complex challenge for HE change and there are many ways of framing, imaging and enacting the decolonisation of higher education within the discipline of computing and IT. Yet as a contested term, what does it mean to decolonise? This article will consider our practical experiences of the research project undertaken as we strive to commit to decolonial ethics and politics.

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“…This perspective recognizes that automated actions and decisions are shaped by the intricate interplay between algorithms and the technical elements and subsystems they are networked with (e.g., sensorimotor subsystems). At the same time, they depend on contextual factors, arising through reciprocal interactions with the infrastructure of the built environment and the physical world of objects and people (Kitchin and Dodge 2011 , see also Blanchette 2012 ). Drawing on the state-of-the-art in driving research, the article then delves into some of the key challenges currently hindering the introduction of SDCs into cities.…”

Section: Introductionmentioning

confidence: 99%

The system of autono‑mobility: computer vision and urban complexity—reflections on artificial intelligence at urban scale

Iapaolo

2023

AI & Soc

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Focused on city-scale automation, and using self-driving cars (SDCs) as a case study, this article reflects on the role of AI—and in particular, computer vision systems used for mapping and navigation—as a catalyst for urban transformation. Urban research commonly presents AI and cities as having a one-way cause-and-effect relationship, giving undue weight to AI’s impact on cities and overlooking the role of cities in shaping AI. Working at the intersection of data science and social research, this paper aims to counter this trend by exploring the reverse perspective: how do cities affect the development, and expose the present limits, of SDCs? The contribution of this paper is threefold. First, by comparing urban and nonurban environments and thoroughly examining the relationship between computer vision and city-specific sociality and form, it defines machine autonomy/automation as a function of the sociotechnical milieu in which an AI system operates. Second, and related, the paper problematizes the notion of SDCs as autonomous technologies and the role it plays in envisioning contending policy arrangements and technical solutions for achieving full driving automation. Finally, the article offers insight into a materialist and spatialized understanding of AI—namely, not as an abstract quality susceptible to replication within discrete machines, but rather as a distributed property emerging through embodied interactions among a multiplicity of agents (human, non-human, and technological) within/with their environments.

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Computing as if infrastructure mattered

Abstract: Understanding the technical and social fundamentals of the computing infrastructure is essential in the continuously evolving technological realm.

Cited by 9 publications

References 6 publications

Mapping the Values of IoT

Mapping the Values of IoT

What Does It Mean to Decolonise Computing and It - Another Dumb Buzzword or Re-Envisaging All Cultures and Knowledge Systems for How the World Is Framed?

The system of autono‑mobility: computer vision and urban complexity—reflections on artificial intelligence at urban scale

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