Smart Cities & Artificial Intelligence

Smart Cities & Artificial IntelligenceSmart Cities & Artificial IntelligenceSmart Cities & Artificial Intelligence

Smart Cities & Artificial Intelligence

Smart Cities & Artificial IntelligenceSmart Cities & Artificial IntelligenceSmart Cities & Artificial Intelligence
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Selected Publications

Kirwan Publications

  • Kirwan, C. (2024). AI Smart Cities Operating Systems: Harnessing Autopoiesis, Collective Intelligence and City DNA as a New Model. Smart City Top Agenda, Global Smart City Journal. Ministry of Land, Infrastructure and Transport, Republic of Korea.
     
  • Kirwan, C., & Dobrev, S. (2022). Cities as Convergent Autopoietic Systems. In Artificial Intelligence, Machine Learning, and Optimization Tools for Smart Cities: Designing for Sustainability. Springer.
     
  • Kirwan, C. (2020). Smart Cities and Artificial Intelligence: Convergent Systems for Planning, Design, and Operations. Elsevier.
     
  • Kirwan, C. (2015). Defining the Middle Ground: A Comprehensive Approach to the Planning, Design and Implementation of Smart City Operating Systems. Springer.
     
  • Kirwan, C. (2014). Smart Asia: A New Platform for Collective Intelligence. Springer.
     
  • Kirwan, C., & Travis, S. (2011). Urban Media: New Complexities, New Possibilities — A Manifesto. MIT Press.
     
  • Kirwan, C. (2011). Cybernetic Revisited: Towards a Collective Intelligence. Princeton Press.

Fu Publications

  • Fu, Z. (2025). From interaction to intelligence: The evolution trajectory of information design education. Art and Design, (386), 18–19.
     
  • Li, J., Fu, Z., Wang, J., Zhu, L., & Qian, F. (2025). Integrating more-than-human perspectives in speculative prototyping. In Entertainment Computing – ICEC 2024 (LNCS 15192, pp. 383–398). Springer.
     
  • Wang, J., Fu, Z., Li, J., & Zhu, L. (2024). Competency structure and training paths oriented by futures literacy. Modern Educational Science, 2024(6), 1–9.
     
  • Li, T., & Fu, Z. (2024). Promoting design innovation in the vehicular metaverse. Systems, 12, 258.
     
  • Fu, Z., & Gong, P. (2024). Futures-thinking-based interaction design curricula. In Cross-Cultural Design (HCII 2024) (LNCS 14701, pp. 210–223). Springer.
     
  • Zhu, L., Guo, R., Fu, Z., et al. (2024). New space narratives: Space designers and design futures. IAC 2024 Proceedings. International Astronautical Federation.
     
  • Xia, Q., & Fu, Z. (2023). Categories of future-oriented design. In Cross-Cultural Design (HCII 2023) (LNCS 14023, pp. 285–296). Springer.
     
  • Chao, C., Chen, Y., & Fu, Z. (2025). Validating social psychology in smart products. In Cross Cultural Design (HCII 2025) (LNCS 15784). Springer.
     
  • Wang, J., Li, J., & Fu, Z. (2025). Embodied interaction assistance system (EIAs). In Cross Cultural Design (HCII 2025) (LNCS 15784). Springer.
     
  • Gong, P., Cao, Y., Zhang, J., Shi, Y., & Fu, Z. (2025). AR-enabled design strategies for agricultural heritage. In Cross Cultural Design (HCII 2025) (LNCS 15784). Springer.
     
  • Li, T., & Fu, Z. (2024). Framework for design futures practice cases. Thinking Skills and Creativity, 53, 101536.
     
  • Li, T., & Fu, Z. (2024). Semantic representation model for design futures. Futures, 161, 103401.
     
  • Liu, Y., & Fu, Z. (2024). Hybrid intelligence for sustainable multiverse design. Applied Sciences, 14(11), 4662.
     
  • Chao, C., Fu, Z., & Chen, Y. (2024). Artificial empathy review. In Cross-Cultural Design (HCII 2024) (LNCS 14702). Springer.
     
  • Chen, Y., & Fu, Z. (2024). Integration of art and tech in sci-fi exhibitions. Xinjiang Art Journal, 2024(9).
     
  • Fu, Z. (2021). Live like you are in a laboratory: Co-creating the human city. In Future Cities – UN-Habitat Discussion Papers, 108–117.

Published in 2022

AI Smart Cities Operating Systems: Harnessing Autopopoiesis,

Introduces a next-generation model for city operating systems that integrates autopoiesis, collective intelligence, and City DNA to enable adaptive, self-regulating urban environments. The paper positions AI as the orchestrating layer harmonizing human, machine, and ecological systems for real-time urban governance.

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Published in 2022

Cities as Convergent Autopoietic Systems

Develops a theoretical framework showing how cities function as living, self-producing systems shaped by feedback, anticipation, and convergence across human, artificial, and natural intelligence. The chapter establishes autopoiesis as a foundation for designing sustainable, resilient, and self aware cities.

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Published in 2020

Smart Cities and Artificial Intelligence

Presents an integrated approach to planning, designing, and operating smart cities through the convergence of AI technologies, geospatial systems, and real-time data intelligence. The book offers both conceptual foundations and practical methodologies for building adaptive, human-centered urban ecosystems.

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Phenomenology - Urban Operating Systems

Urban operating systems must incorporate diverse frames of reference, ranging from the macro to the individual point of view of the end users, each dimension influencing the organizational structure and behavior of the system. In the attempt to create a holistic, interdisciplinary approach to the complex task of designing urban operating systems, this paper applies the philosophical basis of phenomenology, and its schools of thought, to explore a unified theory and approach to OS design. 

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