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Public involvement is essential in the creation of effective local strategies for the development of a sustainable built environment, yet there has been little research on stakeholder motivation and engagement in the creation of infrastructure-project value, in the entire life cycle of a given project, while different markets show that overlooking stakeholders can negatively affect the success of an infrastructure project. The purpose of this paper is to fill the theory-practice gap that has been discerned, and thus study how early public involvement determines the success of an infrastructure project, which is identified with its value creation (effectiveness, sustainability and utility).

This research entails a combination of methods. A case study analysis allowed observation of the role the stakeholders play and of how the relationships, perspectives, expectations and risks, along with other soft issues, continue to affect projects. The case study required comprehensive examination of project documentation and conduction of interviews. To collect data, focused group interviews and semi-structured interviews were used, supported with direct questionnaire surveys.

The study provides evidence that early public engagement can contribute to infrastructure-project value (effectiveness, sustainability and utility). Practically speaking, the stakeholder analysis performed allowed proposal of a general stakeholder analysis framework for infrastructure projects. It can be implemented at each investment phase of the project life cycle, since stakeholders and their motivation may develop and/or change over time, which necessitates development of proper managerial strategies. The findings highlight the opportunities and the challenges faced by stakeholder management.

The limitation of this study derives from the fact that the sample size was small, which was necessary for an in-depth qualitative research and application of the case study method. The observations were made on a selected case study, within a limited period of time, thus the context of the analysis as well as the stakeholder perception was subject to possible change. The research limitations concern the provisional nature of the information obtained, the cross-sectional nature of the analysis itself, and, finally, the inability to predict all future events. Ultimately, stakeholder mapping was performed for the operational phase of the investment exclusively, while the analysis was limited to identification and classification of the stakeholders, including their relationship with the project.

The research conclusions provide useful input for future research on development of effective strategies for management of the shareholders that are related to a given infrastructure project, in order to achieve project success. Simultaneously, from a property perspective, the research has contributed to a better understanding of the importance of infrastructure, on the part of real estate stakeholders.

Application of the approach proposed in the study may contribute to early development and implementation of appropriate trust-building processes. The building of relationships between stakeholders enables checks and balances, promotes short- and long-term project benefits, and increases the value of a project.

The novelty of the research consists in the connection, as part of infrastructure projects, of the theory of consumption values and the concept of an investment cycle with the framework of stakeholder analysis.

Arts-integration is a promising approach to building students’ abilities to create and critique arguments with data, also known as informal inferential reasoning (IIR). However, differences in disciplinary practices and routines, as well as school organization and culture, can pose barriers to subject integration. The purpose of this study is to describe synergies and tensions between data science and the arts, and how these can create or constrain opportunities for learners to engage in IIR.

The authors co-designed and implemented four arts-integrated data literacy units with 10 teachers of arts and mathematics in middle school classrooms from four different schools in the USA. The data include student-generated artwork and their written rationales, and interviews with teachers and students. Through maximum variation sampling, the authors identified examples from the data to illustrate disciplinary synergies and tensions that appeared to support different IIR processes among students.

Aspects of artistic representation, including embodiment, narrative and visual image; and aspects of the culture of arts, including an emphasis on personal experience, the acknowledgement of subjectivity and considerations for the audience’s perspective, created synergies and tensions that both offered and hindered opportunities for IIR (i.e. going beyond data, using data as evidence and expressing uncertainty).

This study answers calls for humanistic approaches to data literacy education. It contributes an interdisciplinary perspective on data literacy that complements other context-oriented perspectives on data science. This study also offers recommendations for how designers and educators can capitalize on synergies and mitigate tensions between domains to promote successful IIR in arts-integrated data literacy education.