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Epistemic Friction and Systemic Misalignment in Predictive Urban Infrastructures

  • Kaan Karabagli*
  • , Ethem Gurer
  • *Bu çalışma için yazışmadan sorumlu yazar
  • Istanbul Technical University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıHakem

Özet

Predictive urban infrastructures are increasingly central to the ways cities are organised and experienced. By integrating sensing technologies, data platforms, and algorithmic modelling, these systems anticipate events and adjust conditions in advance. While designed to achieve synchronisation, their operations encounter recurring points of resistance where modelled projections do not align with the temporal rhythms, spatial arrangements, or cultural practices of everyday life. This research introduces the concepts of epistemic friction and systemic misalignment to describe these conditions. The study focuses on Istanbul as a primary empirical setting, where predictive infrastructures coexist with informal adaptations and heritage-preservation constraints, drawing on qualitative sources that include planning documents, secondary literature, and observational materials. Songdo, a master-planned smart city in South Korea, and Venice, a UNESCO-protected lagoonal city in Italy, are used as analytical references. Together, these contexts provide contrasting perceptual environments that illuminate how friction and misalignment emerge under different governance and infrastructural conditions. The analysis employs a qualitative framework grounded in phenomenology of perception, infrastructural theory, and socio-technical systems analysis. Findings indicate that epistemic friction is not a temporary malfunction but a recurrent structural property of predictive governance. Systemic misalignment, in turn, reveals how computational synchronisation collides with heterogeneous temporal and spatial conditions. The paper’s primary conceptual contribution is to formalise epistemic friction and systemic misalignment as analytical tools for examining the limits of predictive governance. This research establishes the groundwork for a framework that examines how predictive systems interact with perception and governance, offering a deeper understanding of how urban life is shaped under conditions of anticipatory computation.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıAnticipating Socio-Ecological Impacts of Artificial Intelligence - Proceedings of the 12th International UES-EUS Congress
EditörlerAlejandra Acevedo-De-los-Ríos, Damien Claeys, Alejandra Acevedo-De-los-Ríos, Nikitas A. Assimakopoulos
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar307-320
Sayfa sayısı14
ISBN (Basılı)9783032194947
DOI'lar
Yayın durumuYayınlandı - 2026
Etkinlik12th International Congress of the European Union for Systemics, UES–EUS 2025 - Brussels, Belgium
Süre: 22 Eki 202524 Eki 2025

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim1869 LNNS
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???12th International Congress of the European Union for Systemics, UES–EUS 2025
Ülke/BölgeBelgium
ŞehirBrussels
Periyot22/10/2524/10/25

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Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.

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