Introduction

Christie, Michael; Cliffe, Andrew; Dawid, A. P.; Senn, Stephen

doi:10.1002/9781119951445.ch1

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…From an epistemological perspective, it is the well-known threefold "context of discovery," "context of justification," and "context of utilization." Contextualization, in addition, must refer to other measurements and models in order to verify and validate model results, but also to utilize them comparatively in connection with other approaches [8]. What follows is not a competition between outcomes and paradigmatic settings but an abductive approaching to the explicit problem(s) at hand.…”

Section: Challenges Of Transformability Of Methods Numbers and Modelsmentioning

confidence: 99%

Generating Reality with Geosimulation Models: An Agent-Based Social-Spatial Network Modelling Perspective

Koch¹

2018

Spatial Analysis, Modelling and Planning

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Models in general and geosimulation in particular are epistemologically characterized by two principles: first, they produce reality through their existence and communication rather than simply representing it. Second, they reduce complexity in the process of mapping complexity. Since almost any current phenomenon is understood as complex without specifying how complex it is and in which sense, geosimulation models are important tools in solving this problem of specifying and representing complexity. This capability rests, among other things, upon its multilevel approach (bottom-up and topdown) and its ability to translate terms into numbers and thus into distinct singularities.A demonstration of such an understanding of models will be given by presenting a sociospatial simulation approach in the domain of network analysis and social capital operationalization. Two Austrian regions serve as case studies using empirical and simulated data. The demonstration includes the endeavor to intertwine a place-based geography with a network-based geography.

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Section: Challenges Of Transformability Of Methods Numbers and Modelsmentioning

confidence: 99%

Generating Reality with Geosimulation Models: An Agent-Based Social-Spatial Network Modelling Perspective

Koch¹

2018

Spatial Analysis, Modelling and Planning

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“…Uncertainty analysis: the study of the uncertainty in model output-see also uncertainty cascade (Christie et al, 2011). SA: the study of the relative importance of different input factors on the model output (Saltelli, 2002).…”

Section: Box 3 | Uncertainty Quantification Sa and Saudmentioning

confidence: 99%

What Can Mathematical Modelling Contribute to a Sociology of Quantification?

Saltelli¹,

Puy²

2022

SSRN Journal

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“…Uncertainty analysis: the study of the uncertainty in model output—see also uncertainty cascade (Christie et al, 2011 ).…”

Section: Introductionmentioning

confidence: 99%

What can mathematical modelling contribute to a sociology of quantification?

Saltelli

Puy

2023

Humanit Soc Sci Commun

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Sociology of quantification has spent relatively less energies investigating mathematical modelling than it has on other forms of quantification such as statistics, metrics, or algorithms based on artificial intelligence. Here we investigate whether concepts and approaches from mathematical modelling can provide sociology of quantification with nuanced tools to ensure the methodological soundness, normative adequacy and fairness of numbers. We suggest that methodological adequacy can be upheld by techniques in the field of sensitivity analysis, while normative adequacy and fairness are targeted by the different dimensions of sensitivity auditing. We also investigate in which ways modelling can inform other instances of quantification as to promote political agency.

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Introduction

Cited by 3 publications

References 12 publications

Generating Reality with Geosimulation Models: An Agent-Based Social-Spatial Network Modelling Perspective

Generating Reality with Geosimulation Models: An Agent-Based Social-Spatial Network Modelling Perspective

What Can Mathematical Modelling Contribute to a Sociology of Quantification?

What can mathematical modelling contribute to a sociology of quantification?

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