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The aim of this chapter is to describe a four-type model of organisational structures and to discuss two cases, Embrapa and the Brazilian Agricultural Research Corporation, as well as additional cases at SAM-Research and the centre for shared medical support services established at the University of Bologna.

These cases should help readers understand the importance of designing distinctive, tailored-made support services while keeping these structures flexible for further adaptation under unforeseen changes.

The chapter concludes by stressing the role of institutions to steadily invest in the design of these tailored support structures and in personalised training for their support staff.

The need to design buildings with due consideration for bioclimatic and passive design is central to promoting sustainability in the built environment from an energy perspective. Indeed, the energy and atmosphere considerations in building design, construction and operation have received the highest consideration in green building frameworks such as LEED and BREEAM to promote SDG 9: Industry, Innovation and Infrastructure and SDG 11: Sustainable Cities and Communities and contributing directly to support SDG 13: Climate Action. The research literature is rich of findings on the efficacy of passive measures in different climate contexts, but given that these measures are highly dependent on the prevailing weather conditions, which is constantly in evolution, disturbed by the climate change phenomenon, there is pressing need to be able to accurately predict such changes in the short (to the minute) and medium (to the hour and day) terms, where AI algorithms can be effectively applied. The dynamics of the weather patterns over seasons, but more crucially over a given season means that optimum response of building envelope elements, specifically through the passive elements, can be reaped if these passive measures can be adapted according to the ambient weather conditions. The use of representative mechatronics systems to intelligently control certain passive measures is presented, together with the potential use of artificial intelligence (AI) algorithms to capture the complex building physics involved to predict the expected effect of weather conditions on the indoor environmental conditions.

The aim of this research is to explore the relationship between destination supply-side factors, visitor demand-side factors and the role of local government authorities in supporting the drive tourism market with effective interventions. A mixed methods approach was used to gather qualitative data from 14 destination stakeholders, which informed the development of a survey of 397 drive tourists to the Atherton Tablelands, in the far north of Australia. The findings identified stakeholder concerns about fragmented regional promotions by different regional entities, weakened destination branding and infrastructure needs. Drive tourist surveys indicated that although the destination provides a competitive tourism experience, there were concerns about the availability of information. This research highlights the danger of destination disunity, and the theoretical and practical contributions of the learning destination concept to understanding the importance of destination-wide, stakeholder collaboration, although it may be difficult to implement.

Research management has evolved significantly in Malaysia from being part of generic administration into a more specialised yet diverse field. The importance of research and innovation in the government’s agenda is reflected in the five-year Malaysia Plans and policies. The GERD percentage of GDP has grown steadily each year since 1996. Business enterprises and non-profit organisations are important players in the R&D ecosystem. Universities record the highest percentage of R&D personnel, including contracted staff and seconded academics for research management. Recognising the importance of professional RMAs led to the formation of the Malaysia Association of Research Managers and Administrators (MyRMA). It provides a platform for the community of practice to develop professionalisation pathways.

In these uncertain and risky times, the work that educators and educational researchers carry out may feel inconsequential. In preparing young people to live well in a world worth living in, educators must consider, firstly, what roles they can play in a global environment riven by volatile economic, social, and environmental contexts, and secondly, the responsibilities they bear as researchers to produce forms of understanding, modes of action, and ways of relating to one another and this world.

In this chapter, we introduce the pedagogy, education, and praxis (PEP) network and how it is that we, as researchers from around the world, came together to discuss our researching practices in coming to know and explore educational research problems concerning equity, diversity and social justice within and across different cultural settings. We share short stories of ourselves to reveal how it is that we have come to know, be, and act as researchers in our projects and how working alongside each other – our mutual relatings – have generated further understanding about our own and each other’s researching practices.

This chapter establishes the purpose of the book, where we share empirical work through the lens of practice architectures. For instance, what is considered to be an educational equity problem across international or cross-cultural sites? What are considered acceptable forms of evidence of coming to understand educational inequity in its diverse forms in different sites? How are taken-for-granted research practices enabling and/or constraining different forms of understandings about educational inequity, including the issues to be researched and/or the direction of the research project? We then provide an overview of the remaining chapters.