Cities on Demand? Unboxing Urban Un_Certainties from Amazon’s Algorithmic Architectures and Forecasted Futures

Project: Dissertation project

Project participants

Description

In today’s technocapitalist cities, big tech companies have become neighbors, employers, and even critical public infrastructure providers – a standard in modern urban life. Though their technologies promise to make austerity-ridden cities ‘smarter’ and to improve administrative efficiency, tech monopolists are really battling over who will control and profit from shaping future urban narratives. They achieve this by experimenting with and gradually taking over urban environments, increasingly eliminating uncertainty and securing outcomes that serve their interests.

One of these ‘future-makers’ is the tech company Amazon. Often only perceived as ‘virtual warehouse’, the corporation has long been extending its power: in addition to being a retail giant, Amazon is increasingly organizing (smart) cities around its last mile logistics and running hugely profitable data centers as a partner to public governments. By lobbying for and providing certain services, Amazon has now become rather infrastructural. On its second biggest market, Germany, it offers future disaster relief and private substitutions of welfare goods. In other words, Amazon uses current uncertainties as powerful governing strategy. Its security gadgets only feed further insecurities of its customers, thus establishing a profitable pipeline of predictable behavior to reign over spaces, capital, and futures. But what kind of ‘cities of certainties’ result from these manufactured uncertainties, who are they for, and what kind of future do they represent?

In my Ph.D. research project, I am interested in the tense negotiations around the design of (public) infrastructures between private tech actors like Amazon; local administrations; and urbanites. Drawing on three ethnographic case studies – from Amazon’s smart home devices, its delivery infrastructure, to its cloud services – the project empirically explores how uncertainties of our time are politically instrumentalized by tech companies to fit their business and design defaults and enclose the potential of diverse digitized cities. Critically and creatively ‘unboxing’ future-making practices, my research asks how the public sector and citizens are questioning, resisting, and perhaps even sabotaging the current ‘city-on-demand’-culture of Big Tech. How can they regain power about public discourses around futures in the race to care for democracy and a broken planet?
Short titleCities on Demand?
StatusActive
Period01.04.22 → …

Project relations

Activities

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Researchers

  1. Kerstin Fedder

Publications

  1. Robustness of coherent sets computations
  2. Deconstructing and reconstructing diversity in client-provider-relationships of social work
  3. Short and long-term dominance of negative information in shaping public energy perceptions
  4. Assessment of cognitive load in multimedia learning with dual-task methodology
  5. Estimated substitution elasticities of a nested CES production function approach for Germany
  6. Multiscale solutions of the electromagnetic continuity differential equation using packets of harmonic wavelets
  7. Digital Seriality as Structure and Process
  8. Online-scheduling using past and real-time data
  9. Gaussian trajectories in motion control for camless engines
  10. On Software, or the Persistence of Visual Knowledge.
  11. A Two-Stage Sliding-Mode High-Gain Observer to Reduce Uncertainties and Disturbances Effects for Sensorless Control in Automotive Applications
  12. Dynamic control of internal force for visco-elastic contact grasps
  13. Inside-sediment partitioning of PAH, PCB and organochlorine compounds and inferences on sampling and normalization methods
  14. Leverage points 2019
  15. Vielfalt des Alterns - Differenz oder Integration?
  16. The role of task complexity, modality and aptitude in narrative task performance
  17. Home range size and resource use of breeding and non-breeding white storks along a land use gradient
  18. Systematic feature evaluation for gene name recognition
  19. Semiparametric one-step estimation of a sample selection model with endogenous covariates
  20. A Soft Alignment Model for Bug Deduplication
  21. Modeling of temperature- and strain-driven intermetallic compound evolution in an Al-Mg system via a multiphase-field approach with application to refill friction stir spot welding
  22. Analysis of a phase‐field finite element implementation for precipitation
  23. Scaffolding Learner Agency in Technology-Enhanced Language Learning Environments
  24. Application of friction surfacing for solid state additive manufacturing of cylindrical shell structures
  25. Artificial Intelligence in Foreign Language Learning and Teaching
  26. Teaching Sustainable Development in a Sensory and Artful Way — Concepts, Methods, and Examples
  27. Drafts in Action
  28. Are Acute Effects of Foam-Rolling Attributed to Dynamic Warm Up Effects? A Comparative Study
  29. The Framework for Inclusive Science Education

Press / Media

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