The Right to the City. Towards the Dictatorship of the Digital Proletariat in an Age of Total Planetary Computation

Alexa, turn on the hall lights.’ Words taken from a 2017 promotional video for the Amazon Echo —‘a disembodied voice’, and ‘interface for an extraordinarily complex set of information processing layers.’ ‘Alexa, do x’. The discounted toilet-roll is ordered or the house lights come on, but before they do, travelling at the speed of light, a small packet of data arrives at a banal warehouse in the middle of somewhere where needs, wants and desires are farmed in a repository of disembodied voices. From the mining of tantalum, used in the manufacturing of the Echo, from the geological strata of the Democratic Republic of Congo where the profits helped fund the deadliest civil war since WWll; to cavernous, so-called ‘fulfilment centres’ where an invisible workforce are called into action by our buy-now-1-click interface commands; moving robotically down seemingly endless isles of algorithmically organised products arranged according to purchase preferences the like of which we never knew we had — someone who buys a Foucault book is likely to go on and and buy cat food; a computer monitor; underwear a hammer and a John Grisham novel; objects juxtaposed together, a strange kind of architecture of consumer desires — a new production of space: abstract space. Products primed and ready to move across a more than military grade infrastructure to arrive as a banal, innocent looking brown box through the domestic front-door letterbox-come-retail destinatio

The Production of Space and the Archive of Everyday Life

The cloud is a complex material entanglement that moves across multiple scales from the microscopic to the mega-city. The material manifestations of the cloud, like data centers are nodes in an entangled network that cannot be thought apart from the modes of being that they produce. This requires us to think beyond the question — dominant in much architectural discourse — of what it is and ask what does it do? Concerning the cloud these two questions cannot be separated, to ask one is immediately to ask the other. This is the reason why I propose that Lefebvre’s triadic is a useful conceptual framework which architects can use to understand the processes at play in the production of space within the archive of everyday life.. To make the case for the ongoing usefulness of the triadic I will begin by briefly introducing Lefebvre’s three-dimensional spatiology. I will then focus on two processes within the triadic that will help foreground the complex entanglements between architecture, ways of being in the world and the production of space. These two areas are perceived and conceived space. In The Production of Space Lefebvre does not explore in detail how it is that the shifts in the modes of production actually change modes of perception and conception. Someone who does do this is philosopher of technology Bernard Stiegler. I will therefore expand on the role of perception and conception in spatial production by reading them through Stiegler’s concepts of tertiary retention and tertiary protention which I contend are central to understanding the spatial nature of shifts in modes of being created by new modes of production

The Magic and Metaphysics of Shit :The Production of Space and Digital Technology

Reading Henri Lefebvre alongside Bernard Stiegler, this paper explores the changes that have taken place to the production of space in our age of digital technology. Lefebvre sensed the radical changes taking place in society through the implementation of computational technologies. He asked a prescient question: How is this space being produced? Lefebvre was unable to foresee the significant changes to the actual mechanics of the production of space brought about by the third industrial revolution. A thinker who does do this is Bernard Stiegler who is interested in how new digital technologies change memory via tertiary mnemotechnical devices – memory storage devices that are external to the human body. Reading Lefebvre alongside Stiegler might seem unusual, however I will demonstrate that implicit in Lefebvre’s argument regarding the production of space is memory and implicit in Stiegler’s argument regarding the exteriorization of memory in technics is space

The Germ of Anarcho-Atheistic-Syndicalism Harbouring within Christianity

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Diagnosis of pulmonary hypertension with cardiac MRI: Derivation and validation of regression models

Purpose: To derive and test multiparametric cardiac MRI models for the diagnosis of pulmonary hypertension (PH). Materials and Methods: Images and patient data from consecutive patients suspected of having PH who underwent cardiac MRI and right-sided heart catheterization (RHC) between 2012 and 2016 were retrospectively reviewed. Of 2437 MR images identified, 603 fit the inclusion criteria. The mean patient age was 61 years (range, 18-88 years; mean age of women, 60 years [range, 18-84 years]; mean age of men, 62 years [range, 22-88 years]). In the first 300 patients (derivation cohort), cardiac MRI metrics that showed correlation with mean pulmonary arterial pressure (mPAP) were used to create a regression algorithm. The performance of the model was assessed in the 303-patient validation cohort by using receiver operating characteristic (ROC) and x² analysis. Results: In the derivation cohort, cardiac MRI mPAP model 1 (right ventricle and black blood) was defined as follows: 2179 + loge interventricular septal angle × 42.7 + log10 ventricular mass index (right ventricular mass/left ventricular mass) × 7.57 + black blood slow flow score × 3.39. In the validation cohort, cardiac MRI mPAP model 1 had strong agreement with RHC-measured mPAP, an intraclass coefficient of 0.78, and high diagnostic accuracy (area under the ROC curve = 0.95; 95% confidence interval [CI]: 0.93, 0.98). The threshold of at least 25 mm Hg had a sensitivity of 93% (95% CI: 89%, 96%), specificity of 79% (95% CI: 65%, 89%), positive predictive value of 96% (95% CI: 93%, 98%), and negative predictive value of 67% (95% CI: 53%, 78%) in the validation cohort. A second model, cardiac MRI mPAP model 2 (right ventricle pulmonary artery), which excludes the black blood flow score, had equivalent diagnostic accuracy (ROC difference: P = .24). Conclusion: Multiparametric cardiac MRI models have high diagnostic accuracy in patients suspected of having pulmonary hypertension

Roadmap on Li-ion battery manufacturing research

Growth in the Li-ion battery market continues to accelerate, driven primarily by the increasing need for economic energy storage for electric vehicles. Electrode manufacture by slurry casting is the first main step in cell production but much of the manufacturing optimisation is based on trial and error, know-how and individual expertise. Advancing manufacturing science that underpins Li-ion battery electrode production is critical to adding to the electrode manufacturing value chain. Overcoming the current barriers in electrode manufacturing requires advances in materials, manufacturing technology, in-line process metrology and data analytics, and can enable improvements in cell performance, quality, safety and process sustainability. In this roadmap we explore the research opportunities to improve each stage of the electrode manufacturing process, from materials synthesis through to electrode calendering. We highlight the role of new process technology, such as dry processing, and advanced electrode design supported through electrode level, physics-based modelling. Progress in data driven models of electrode manufacturing processes is also considered. We conclude there is a growing need for innovations in process metrology to aid fundamental understanding and to enable feedback control, an opportunity for electrode design to reduce trial and error, and an urgent imperative to improve the sustainability of manufacture

Roadmap on Li-ion battery manufacturing research

Growth in the Li-ion battery market continues to accelerate, driven by increasing need for economic energy storage in the electric vehicle market. Electrode manufacture is the first main step in production and in an industry dominated by slurry casting, much of the manufacturing process is based on trial and error, know-how and individual expertise. Advancing manufacturing science that underpins Li-ion battery electrode production is critical to adding value to the electrode manufacturing value chain. Overcome the current barriers in the electrode manufacturing requires advances in material innovation, manufacturing technology, in-line process metrology and data analytics to improve cell performance, quality, safety and process sustainability. In this roadmap we present where fundamental research can impact advances in each stage of the electrode manufacturing process from materials synthesis to electrode calendering. We also highlight the role of new process technology such as dry processing and advanced electrode design supported through electrode level, physics-based modelling. To compliment this, the progresses in data driven models of full manufacturing processes is reviewed. For all the processes we describe, there is a growing need process metrology, not only to aid fundamental understanding but also to enable true feedback control of the manufacturing process. It is our hope this roadmap will contribute to this rapidly growing space and provide guidance and inspiration to academia and industry