Rhizomatic data assemblages: mapping new possibilities for urban housing data

Dalton, Craig M.

doi:10.1080/02723638.2019.1645553

Cited by 17 publications

(9 citation statements)

References 39 publications

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“…Given the relevance of the theoretical and empirical efforts of human geographers and the practical concerns of politicians and public policy professionals, it is no surprise that the appropriation of assemblage theory in the former has fueled debates about its potential impact on the latter. Many scholars in the field have addressed ways in which assemblage theory can illuminate the ethical issues—and inform inclusive conversations—around such debates (Briassoulis, 2017; Dalton, 2019; Forney et al, 2018; Gorur, 2011; Palmer and Owens, 2015). Others have explicitly explored the ethics and politics of assemblage thinking within a variety of domains (Anderson et al, 2012b; Greenhough, 2012; Ruddick, 2012).…”

Section: Discussionmentioning

confidence: 99%

Progress in simulating human geography: Assemblage theory and the practice of multi-agent artificial intelligence modeling

Shults

2021

Progress in Human Geography

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Over the last few years, there has been an explosion of interest in assemblage theory among human geographers. During this same period, a growing number of scholars in the field have utilized computational methodologies to simulate the complex adaptive systems they study. However, very little attention has been paid to the connections between these two developments. This article outlines those connections and argues that more explicitly integrating assemblage theory and computer modeling can encourage a more robust philosophical understanding of both and facilitate progress in scientific research on the ways in which complex socio-material systems form and transform.

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Section: Discussionmentioning

confidence: 99%

Progress in simulating human geography: Assemblage theory and the practice of multi-agent artificial intelligence modeling

Shults

2021

Progress in Human Geography

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“…When involving social CSOs as representatives of a wider citizenry, smart city development draws on what Cowley et al (2018: 72) call civic and political publicness. By engaging with social CSOs, smart city projects frequently support activities toward participatory planning (Clark, 2020: 164) and foster (data-based) transparency in decision- and claim-making (Dalton, 2019).…”

Section: Theoretical Framework: Smart City Ecologies and Types Of Csosmentioning

confidence: 99%

Selective inclusion: Civil society involvement in the smart city ecology of Amsterdam

Rose

Thiel

Grabher

2022

European Urban and Regional Studies

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Although research on smart cities increasingly acknowledges the involvement of civil society actors, most studies fall short when it comes to clarifying the specific modalities of civil society involvement. By probing into the smart city ecology that has developed around the Amsterdam Smart City-Foundation, we explore not only the extent to which the civil society is part of a smart city ecology but also what role civil society actors hold within this ecology. This article draws on data gathered and analyzed through quantitative and qualitative methods. The qualitative analysis focuses on analyzing the institutional dynamics that shape civil society involvement in Amsterdam’s smart city ecology. The quantitative data are used to unravel the relational dynamics by quantifying collaborative patterns between different types of organizations in Amsterdam’s smart city ecology. Our findings reveal that powerful institutional dynamics, manifested through normative pressures, favor the involvement of socially oriented civil society actors. At the same time, however, relational dynamics that shape the collaborative patterns in the projects of the ecology rather exclude the socially oriented civil society at the benefit of an economically oriented civil society. In other words, while the entire ecology rhetorically adheres to an ethos of pervasive civil society involvement, politically, socially, and civically oriented civil society actors lack inter-organizational collaboration—even in the supposedly inclusive context of Amsterdam.

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“…Since the introduction of this theoretical construct in the 1980s, there have been numerous adoptions thereof within both science in general and information systems in particular. For example, Choi et al [7] utilized the non-centralized structuring of the rhizome as a model for understanding social justice movements on Twitter, Brailas [3] used it to understand technology-mediated learning, and Dalton [8] used it in the study of the emergence of assemblages of urban housing data. In Leclercq-Vandelannoitte and Aroles [22], the rhizome was used as a vehicle for understanding surveillance and the emergence of digitally enabled control societies.…”

Section: Rhizomatic Strategizingmentioning

confidence: 99%

Rhizomatic Strategizing in Digital Transformation: A Clinical Field Study

Magnusson¹,

Khisro²,

Lindroth³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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Most organizations today are involved in transformation initiatives; this has led to a burgeoning interest in the phenomenon of digital transformation strategy. Here, we present the findings of a clinical field study of a large Swedish municipality that has been involved in an ambitious digital transformation program since 2017. Despite explicitly not having a formal strategy, the organization utilizes a pseudoformalized and emergent strategy-as-practice for digital transformation that involves a set of key traits that have emerged over the years. We show how these traits have emerged and theorize on how the process can be understood as rhizomatic strategizing. The strategy emerges over time through a series of de-and reterritorializations, expanding through amalgamating new concepts into a strategy-as-practice for digital transformation.

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Rhizomatic data assemblages: mapping new possibilities for urban housing data

Cited by 17 publications

References 39 publications

Progress in simulating human geography: Assemblage theory and the practice of multi-agent artificial intelligence modeling

Progress in simulating human geography: Assemblage theory and the practice of multi-agent artificial intelligence modeling

Selective inclusion: Civil society involvement in the smart city ecology of Amsterdam

Rhizomatic Strategizing in Digital Transformation: A Clinical Field Study

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