These stunning 3D models are transforming scientists’ raw data

Warren, Matt

doi:10.1126/science.aau3476

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“…Cybernetics encapsulates "the science of control or prediction of future action" (Stafford 2014a, 00:27:50) and the range of applications related to automaticity is breath-taking. These range from 3D pixels (voxels) generating objects straight from data sets bypassing 3D computer models (Warren 2018); producing 3D models produced from 2d data (Boulkenafed, Michel, and Sfar 2019); fractal dimension calculations using the box-counting method in medicine (Safitri and Juniati 2017); interpreting 3D objects from 2D scenes (Rezende et al 2016); and simulation in virtual worlds (Johnson-Roberson et al 2016). Urban design can be produced in a top-down process independently of emergence or the conditions for assemblage (Matzner 2019; 'DeCodingSpaces Toolbox | Computational Analysis and Generation of STREET NETWORKS, PLOTS and BUILDINGS' 2019).…”

Section: Conceptual Study 2: Real-time Data: Data From Objects Photo-walk Exercisementioning

confidence: 99%

Data, Data Everywhere, Not a Lot in Sync

Kock

2019

ENQ

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Up to 100 billion devices will be seeking to visually map out our existence over the internet by 2020 (UK Government Chief Scientific Adviser 2014). Just as the urban is a forcefield “of spatial transformations… that takes many different morphological forms” (Brenner 2014), this paper explores another underlying forcefield: our visual relationship with data. The most important piece of data, the individual, exists in the city as both prey and predator; having evolved from a “passive aesthetic view of the city” (Appleyard 1979, 144); transformed through shared territory (Evans and Jones 2008); and forged into impressively intricate sets of power relations through collective intentionality (Searle 2011). Through the presentation of self (Goffman, 1969, cited in Appleyard 1979, 146) we inhabit another home: the digital; in which we are simultaneously co-existent and removed by synchronisation of data. Traditionally, the software authoring the physical production of ‘space/hardware’ has been value driven (Raban, 1974, 128, cited in Appleyard 1979, 146). In a parallel universe, algorithms drive the data. For Ellis (2012) it is in the software, that meaning resides. What then is the allure of data to the individual? And what is the allure of the individual to data? It lies arguably in the perception of power and control through meaning (Appleyard, Searle et al.). We seek in the new reality to “discover where the real power lies” (Appleyard 1979, 146). Curiously, the power of data appears to increase the irrelevancy of ownership, between “ours” and “theirs” (Appleyard 1979, 152). This paper analyses past, present, and future states of data production. The data we get from data; data produced from objects; and objects produced from data. In closing, a speculative working hypothesis is presented of visual data production, which hopefully encourages further research reconciling data with meaning in the context of visual sustainability.

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Section: Conceptual Study 2: Real-time Data: Data From Objects Photo-walk Exercisementioning

confidence: 99%

Data, Data Everywhere, Not a Lot in Sync

Kock

2019

ENQ

View full text Add to dashboard Cite

show abstract

These stunning 3D models are transforming scientists’ raw data

Cited by 1 publication

References 0 publications

Data, Data Everywhere, Not a Lot in Sync

Data, Data Everywhere, Not a Lot in Sync

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