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The purpose of this study is to examine how young people imagine civic futures through speculative fiction writing about artificial intelligence (AI) technologies. The authors argue that young people’s speculative fiction writing about AI not only helps make visible the ways they imagine the impacts of emerging technologies and the modes of collective action available for leveraging, resisting or countering them but also the frictions and fissures between the two.

This practitioner research study used data from student artifacts (speculative fiction stories, prewriting and relevant unit work) as well as classroom fieldnotes. The authors used inductive coding to identify emergent patterns in the ways young people wrote about AI and civics, as well as deductive coding using digital civic ecologies framework.

The findings of this study spotlight both the breadth of intractable civic concerns that young people associate with AI, as well as the limitations of the civic frameworks for imagining political interventions to these challenges. Importantly, they also indicate that the process of speculative writing itself can help reconcile this disjuncture by opening space to dwell in, rather than resolve, the tensions between “the speculative” and the “civic.”

Teachers might use speculative fiction writing and the digital civic ecologies framework to support students in critically examining possible AI futures and effective civic actions within them.

Speculative fiction writing offers an avenue for students to analyze the growing civic concerns posed by emerging platform technologies like AI.

This chapter explores creative drawing mediums in research practice and education, through speculative drawing methods, and the use of temporal mediums such as film, animation, and augmented reality [AR] to move outside entrenched perspectives of communicating towards more inclusive storytelling narratives. Architectural representation mediums provide means of conveying rich layers of information, having evolved through cultural influences and technologies with their origins in Western world views. However, these methods of drawing are limited in how they convey multiple and diverse views or social understandings, ultimately delivering static representations. The student and staff approaches discussed in this chapter demonstrate approaches that recalibrate from a singular, designer-led perspective to one that is multivalent, considering and engaging other stakeholders in the negotiations and conversations of the spaces in our built environments. Through making architectural communication more accessible and inclusive of diverse audiences and voices, alternative world views can be both enabled and facilitated.

This chapter reports on research that explores new and emerging extended reality [XR] technologies and how they might provide opportunities to trial, investigate, and put into practice their potential to reverse processes of atomisation, polarisation, and intercultural discomfort, in our contemporary society. This transdisciplinary practice-led research was underpinned by disciplines of computer science and engineering, social sciences, history, diverse community economics, human ecology, and Indigenous psychology. The collaboration between these various disciplines with the Māori and non-Māori community members allowed researchers to understand current societal stressors, prioritise relationality, and explore our shared values in the creation of XR experiences for exhibition in the galleries, libraries, archives, and museums [GLAM] sector.

A discursive design framework motivated, inspired, provoked, persuaded, and reminded inspiring collaborators, and visitors to the exhibitions, the value of (re)connecting with people and overcoming interracial awkwardness through these curated experiences. The XR technologies provided women a platform to discuss and reimagine first encounters between people from different cultural backgrounds. The technologies included a 180° stereoscopic projection, Common Sense, in which Māori Elder Irene Hancy shared her insight about social engagement and haptic HONGI in which visitors were greeted by a Māori woman Tania Remana via augmented reality. This research has been motivated by a desire to promote and support intercultural understanding in Aotearoa New Zealand, and it extends research by other non-Māori and Māori scholars.

In recent years, there has been a growing interest in the potential of data analytics to enhance project delivery. Yet many argue that its application in projects is still lagging behind other disciplines. This paper aims to provide a review of the current use of data analytics in project delivery encompassing both academic research and practice to accelerate current understanding and use this to formulate questions and goals for future research.

We propose to achieve the research aim through the creation of a systematic review of the status of data analytics in project delivery. Fusing the methodology of integrative literature review with a recently established practice to include both white and grey literature amounts to an approach tailored to the state of the domain. It serves to delineate a research agenda informed by current developments in both academic research and industrial practice.

The literature review reveals a dearth of work in both academic research and practice relating to data analytics in project delivery and characterises this situation as having “more gap than knowledge.” Some work does exist in the application of machine learning to predicting project delivery though this is restricted to disparate, single context studies that do not reach extendible findings on algorithm selection or key predictive characteristics. Grey literature addresses the potential benefits of data analytics in project delivery but in a manner reliant on “thought-experiments” and devoid of empirical examples.

Based on the review we articulate a research agenda to create knowledge fundamental to the effective use of data analytics in project delivery. This is structured around the functional framework devised by this investigation and highlights both organisational and data analytic challenges. Specifically, we express this structure in the form of an “onion-skin” model for conceptual structuring of data analytics in projects. We conclude with a discussion about if and how today’s project studies research community can respond to the totality of these challenges. This paper provides a blueprint for a bridge connecting data analytics and project management.