Skip to main content

A Framework for Complex Design: Lessons from Synthetic Biology

  • Chapter
  • First Online:
Systemic Design

Part of the book series: Translational Systems Sciences ((TSS,volume 8))

Abstract

This chapter reports on the development of a general framework for describing complex design which can be applied in different design contexts to identify commonalities and discrepancies in the perspectives that people adopt. The framework was built from interviews with practitioners from the complex design field of Synthetic Biology. However, we demonstrate its broad relevance by applying it to describe the sociotechnical example of “designing out crime.” The framework consists of three dimensions, each reflecting a different aspect of complex design, as described by the study’s participants. The first of these dimensions is the characterization of system complexity, the second is the design objective identified with respect to this complexity, and the third is the design approach applied to realize this objective. Because of its domain-neutrality, the framework could assist designers working in different complex design contexts (e.g. swarm robotics, policy formation, and healthcare), to identify when they are addressing design problems that share fundamental similarities. The framework could also assist different designers working on the same complex design challenge to identify discrepancies in their complex design practices or problem framings. In the same way that complex design challenges are never truly “solved,” the framework is not presented here as “finished,” but as an empirically grounded work-in-progress. Studies of other complex design fields would further develop the framework, better supporting cross-domain knowledge-sharing in complex design activities.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    We use the terms “complex design challenge” and “complex design problem” interchangeably but tend to use “complex design problem” when referring to the problem itself (e.g. reducing crime in a region of the city) and “challenge” when referring to the problem as something that needs to be addressed for a broader set of objectives (e.g. reducing crime for social improvement).

  2. 2.

    One coder had a background in computer science and complexity science; one coder had a background in mechanical engineering and engineering design. We report on the backgrounds to increase the transparency of the methods used. Qualitative inductive methods are interpretive by nature, and other analysts (from the same or other backgrounds) might arrive at different interpretations.

References

  • Abbott, R. (2006). Complex systems + systems engineering = complex systems engineering. Conference on Systems Engineering Research, Los Angeles, April 6–9.

    Google Scholar 

  • Agapakis, C. M. (2014). Designing synthetic biology. ACS Synthetic Biology, 3(3), 121–128.

    Article  Google Scholar 

  • Anderson, J., Strelkowa, N., Stan, G.-B., Douglas, T., Savulescu, J., Barahona, M., et al. (2012). Engineering and ethical perspectives in synthetic biology. EMBO Reports, 13(7), 584–590.

    Article  Google Scholar 

  • Andrianantoandro, E., Basu, S., Karig, D. K., & Weiss, R. (2006). Synthetic biology: New engineering rules for an emerging discipline. Molecular Systems Biology, 2(1), 2006.28.

    Google Scholar 

  • Benner, S. A., & Sismour, M. (2005). Synthetic biology. Nature Reviews Genetics, 6(7), 533–543.

    Article  Google Scholar 

  • Bobrow, D. B. (2006). Policy design: Ubiquitous, necessary, and difficult. In B. G. Peters & J. Pierre (Eds.), Handbook of public policy (pp. 75–96). Los Angeles: Sage.

    Chapter  Google Scholar 

  • Braun, C., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.

    Article  Google Scholar 

  • Breakwell, G. M. (2006). Interviewing methods. In G. M. Breakwell, J. A. Smith, & D. B. Wright (Eds.), Research methods in psychology (pp. 232–253). Los Angeles: Sage.

    Google Scholar 

  • Buchli, J., & Santini, C. C. (2005). Complexity engineering: Harnessing emergent phenomena as opportunities for engineering. Reports of the Santa Fe Institute’s Complex Systems Summer School 2005

    Google Scholar 

  • Chen, C.-C., & Crilly, N. (2014a). Modularity, redundancy and degeneracy: Cross-domain perspectives on key design principles. Paper presented at the 8th Annual IEEE Systems Conference, 546–553, Ottawa, March 31-April 3.

    Google Scholar 

  • Chen, C.-C., & Crilly, N. (2014b). Towards a framework of design principles: Classifying system features, behaviours and types. Paper presented at the Design Research Society Conference 2014, Umea, Sweden, June 16–19.

    Google Scholar 

  • Chen, C.-C., & Crilly, N. (2016a). Describing complex design practices with a cross-domain framework: Learning from synthetic biology and Swarm Robotics. Research in Engineering Design, 27(3), 291–305.

    Article  Google Scholar 

  • Chen, C.-C., & Crilly, N. (2016b). From modularity to emergence: A primer on the design and science of complex systems. Technical Report CUED/C-EDC/TR.166. University of Cambridge, Department of Engineering. ISSN 0963-5432. https://doi.org/10.17863/CAM.4503

  • Clarkson, P. J., Buckle, P., Coleman, R., Stubbs, D., Ward, J., Jarrett, J., et al. (2004). Design for patient safety: A review of the effectiveness of design in the UK health service. Journal of Engineering Design, 15(2), 123–140.

    Article  Google Scholar 

  • Crowe, T. D. (2000). Crime prevention through environmental design. Oxford, UK: Butterworth-Heinemann.

    Google Scholar 

  • de Weck, O. L., Roos, D., & Magee, C. L. (2011). Engineering systems: Meeting human needs in a complex technological world. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Duarte, O. C., Lulham, R., & Kaldor, L. (2011). Co-designing out crime. CoDesign 7(3–4): Special issue on Socially Responsive Design.

    Google Scholar 

  • Endy, D. (2005). Foundations for engineering biology. Nature, 438(7067), 449–453.

    Article  Google Scholar 

  • Forrest, S., Balthrop, J., Glickman, M., & Ackley, D. (2005). Computation in the wild. In E. Jen (Ed.), Robust design: A repertoire of biological, ecological, and engineering case studies (pp. 207–230). Oxford: Oxford University Press.

    Google Scholar 

  • Frei, R., & Serugendo, G. D. M. (2011a). Concepts in complexity engineering. International Journal of Bio-Inspired Computation, 3(2), 123–139.

    Article  Google Scholar 

  • Frei, R., & Serugendo, G. D. M. (2011b). Advances in complexity engineering. International Journal of Bio-inspired Computation, 3(4), 199–212.

    Article  Google Scholar 

  • Fu, P. (2006). A perspective of synthetic biology: Assembling building blocks for novel functions. Biotechnology Journal, 1(6), 690–699.

    Article  Google Scholar 

  • Gao, L. (2000). On inferring autonomous system relationships in the Internet. IEEE/ACM Transactions on Networking, 9(6), 733–745.

    Google Scholar 

  • Jeffrey, C. R. (1977). Crime prevention through environmental design. Los Angeles: Sage.

    Google Scholar 

  • Jones, P. (2014). Systemic design principles for complex social systems. In G. Metcalf (Ed.), Social Systems and Design (pp. 91–128). Tokyo: Springer.

    Google Scholar 

  • Knight, T. F. (2005). Engineering novel life. Molecular Systems Biology, 1(1), 0020.

    Article  Google Scholar 

  • Kwok, R. (2010). Five hard truths for synthetic biology. Nature, 463(7279), 288–289.

    Article  Google Scholar 

  • Maher, M. L., & Poon, J. (1994). Modelling design exploration as co-evolution. Microcomputers in Civil Engineering on Evolutionary Systems in Design, 11(3), 195–210.

    Article  Google Scholar 

  • Nair, G., Ditton, J., & Phillips, S. (1993). Environmental improvements and the fear of crime. The sad case of the ‘Pond’ area in Glasgow. The British Journal of Criminology, 33(4), 555–561.

    Article  Google Scholar 

  • Nature. (2014). Beyond divisions: Building the future of synthetic biology. Nature, 509(7499), 134–254.

    Google Scholar 

  • Purncik, P. M., & Weiss, R. (2009). The second wave of synthetic biology: From modules to systems. Nature Reviews in Molecular Cell Biology, 10(6), 410–422.

    Google Scholar 

  • Rittel, H. W. J., & Webber, M. M. (1973). Dilemmas in a general theory of planning. Policy Sciences, 4(2), 155–169.

    Article  Google Scholar 

  • Sevaldson, B. (2011). Gigamapping: Visualization for complexity and systems thinking in design. Helsinki, Finland: Nordic Design Research Conference.

    Google Scholar 

  • Thomas, D. R. (2006). A general inductive approach for analyzing qualitative evaluation data. American Journal of Evaluation, 27(2), 237–246.

    Article  Google Scholar 

  • Tolk, A. (2012). Engineering principles of compact modeling and distributed simulation. Hoboken, NJ: Wiley.

    Book  Google Scholar 

  • Vinnakota, T. R., & Narayana, M. (2014). Integration of design thinking with strategy and innovation in an enterprise context. Paper presented at the IEEE International Conference on Management of Innovation and Technology, Singapore, 23–25 September.

    Google Scholar 

  • Visser, W. (2004). Dynamic aspects of design cognition. Research Report RR-5144. HAL Id: inria-00071439.

    Google Scholar 

  • Wiltschnig, S., Christensen, B. T., & Ball, L. J. (2013). Collaborative problem-solution co-evolution in creative design. Design Studies, 34(5), 515–542.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chih-Chun Chen .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Japan KK, part of Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Chen, CC., Crilly, N. (2018). A Framework for Complex Design: Lessons from Synthetic Biology. In: Jones, P., Kijima, K. (eds) Systemic Design. Translational Systems Sciences, vol 8. Springer, Tokyo. https://doi.org/10.1007/978-4-431-55639-8_2

Download citation

Publish with us

Policies and ethics