Briefing: Embedding transdisciplinarity in engineering approaches to infrastructure and cities

Joanne M. Leach*, Chris D.F. Rogers

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Many of the specialisms on which infrastructure and cities rely for their effective design, construction, operation, governance, management and maintenance are underpinned by the principles of certainty, accuracy, precision and prediction. Not least of these is civil engineering. Yet infrastructures and cities are characterised by complexity and emergence. In recent decades, understandings of infrastructures and cities have begun to reflect these properties, and in particular, transdisciplinarity is promoted as critical to advancing these new understandings. However, this presents conceptual and operational challenges for civil engineering, as there is a fundamental mismatch between the certainty, accuracy and precision required by engineers and the complexity and emergence of transdisciplinary research approaches. The forms of value arising from these research approaches are themselves contentious, leaving engineers exposed to competing claims and making them ill prepared to exploit new insights to full advantage. This briefing explores these mismatches and contentions and proposes a set of four principles that underpin successful transdisciplinary research, laying the foundation for transforming research in infrastructure and cities by leveraging emergent, transdisciplinary approaches.

Original languageEnglish
Pages (from-to)19-23
Number of pages5
JournalProceedings of the Institution of Civil Engineers: Smart Infrastructure and Construction
Volume173
Issue number2
DOIs
Publication statusPublished - 24 Jul 2020

Bibliographical note

Publisher Copyright:
© 2020 ICE Publishing: All rights reserved.

Keywords

  • design methods & aids
  • infrastructure planning
  • urban regeneration

ASJC Scopus subject areas

  • Information Systems
  • Civil and Structural Engineering
  • Computer Science Applications
  • Computer Graphics and Computer-Aided Design

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