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The sustainable transition towards the circular economy requires the effective use of artificial intelligence (AI) and information technology (IT) techniques. As the sustainability targets for 2030–2050 increasingly become a tougher challenge, society, company managers and policymakers require more support from AI and IT in general. How can the AI-based and IT-based smart decision-support tools help implementation of circular economy principles from micro to macro scales?

This chapter provides a conceptual framework about the current status and future development of smart decision-support tools for facilitating the circular transition of smart industry, focussing on the implementation of the industrial symbiosis (IS) practice. IS, which is aimed at replacing production inputs of one company with wastes generated by a different company, is considered as a promising strategy towards closing the material, energy and waste loops. Based on the principles of a circular economy, the utility of such practices to close resource loops is analyzed from a functional and operational perspective. For each life cycle phase of IS businesses – e.g., opportunity identification for symbiotic business, assessment of the symbiotic business and sustainable operations of the business – the role played by decision-support tools is described and embedding smartness in these tools is discussed.

Based on the review of available tools and theoretical contributions in the field of IS, the characteristics, functionalities and utilities of smart decision-support tools are discussed within a circular economy transition framework. Tools based on recommender algorithms, machine learning techniques, multi-agent systems and life cycle analysis are critically assessed. Potential improvements are suggested for the resilience and sustainability of a smart circular transition.

This chapter explains how cocreation can be supported by establishing platforms, which provide knowledge, resources, and opportunities for local actors to come together in cocreation arenas. Platforms make it easy for local actors to connect, interact, and engage in productive joint activity. The chapter provides an overview of different types of platforms and describes their distinctive organizing logic, which includes mediating the relationship between different stakeholders, scaffolding their joint action, and leveraging their capacity for change. The chapter identifies important platform dynamics, such as attractor and amplifier effects, synergy, scaling, and social learning, that enable them to successfully support cocreation. Finally, the chapter discusses how platforms themselves can be designed to enhance these dynamics.

BIM education for construction professionals has tended to lag industry developments. This investigation initiates doctoral research into the use of BIM for construction education. The purpose of this study is to gain an understanding of existing examples of BIM education, their characteristics, the challenges faced in their implementation and any clear trends to focus the doctoral research effort.

A systematic search of peer-reviewed BIM education literature was carried out. From the articles captured, 51 specific cases of BIM education were identified and analysed.

Most cases are from the USA with a more global spread from 2013. A tendency towards interdisciplinary collaboration was apparent though single discipline courses remain important. BIM software in education is dominated by Autodesk products. Most cases were found to be BIM-focused with few examples of BIM-enabled education. This was consistent with the most significant BIM education challenges that were found to relate to the skill levels of students, time and the availability of technical support.

This is an initial study. It is based on only 51 cases of BIM education, which were partially described in peer reviewed conference and journal papers available in international databases.

The investigation has shed some light on existing examples of BIM education and these are useful in designing BIM education initiatives as well as directing further research efforts.

The study offers an original perspective on global BIM education. It also represents the commencement of doctoral research.

This chapter discusses the relevance of a community of practice (CoP) for a reflexive gender equality policy and reflects on the different approaches taken within TARGET. It is based on the literature on CoPs and structural change as well as on experiences in transferring this approach to the context of implementing gender equality plans (GEPs) within different types of research organisations. While the notion of the CoP was coined in the 1990s, literature on gender and such communities remained scarce until a recent wealth of research looked at the role played by inter-institutional CoPs in advancing structural change in research organisations. In this chapter, we examine whether and how an institutional CoP approach has been a useful vehicle for gender equality plan development and how the different configurations of internal and external stakeholders within the CoPs have impacted GEP implementation.

This chapter goes into more detail about how experimentation can be used as a strategy of innovation and how cocreation can support this strategy. It first draws out lessons from research on sustainability transitions, design thinking, and grassroots innovation for the development of experimentation. Prototyping is found to be a particularly valuable strategy for cocreating experimentation because it allows stakeholders to develop low-cost designs and to quickly improve them based on group feedback. A range of prototyping strategies are available to cocreators, ranging from mock ups to pilot projects. Finally, the chapter examines how to support, scale and diffuse cocreated experiments.