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This chapter will consider the spatial implications in disrupting hierarchies and shifting identities in the undergraduate environment and explore the extent to which space can act as an agent of change in this process. Drawing on research and empirical evidence, the chapter explores the link between the re-design of learning and the design of the physical space. As this chapter will illustrate, when the active learner is centrally positioned in the learning spaces of the future, space can support relational and dialogic learning experiences and promote learner agency and reflexive learner engagement in a way that has the potential to become a platform for transformative educational change. As educational spaces are re-conceptualised, recognising a fundamental shift has taken place in how, when and where we learn, it can be argued that space is acting as an ‘agent of change’ facilitating change in pedagogic practice, relationships and methods.

This chapter “unpacks” a poster from the CEAD (Contemporary Ethnography Across the Disciplines) conference 2010 and re-situates it within an autoethnographic narrative. The poster presented a project that combined Evocative and Analytic modes in a visual ethnography focused on a collection of tourist photographs taken on Rarotonga in the South Pacific. The framing autoethnography finds in this project evidence of a distinctive tension in contemporary informationalized life between embodied life and data coordinates, plots, or maps of the spaces and times where life takes place. The chapter aligns two sets of terms: on one hand embodied life and the Evocative mode, on the other hand data coordinates/plots and the Analytic mode. With its focus on the photographic image, the chapter also suggests two further terms for both Evocative and Analytic investigation: the image as fantasy and the visual moment. The chapter takes the form of a layered performance text in order to explore these matters.

By merging good countryside and rural capitals frameworks, a model for reimagining the island's development is formulated, which is then applied to the female perspective to provide valuable insights from a group that is often marginalized in rural areas. As Croatian islands are highly tourism-oriented, this study finds it important to explore possibilities for future island development that can provide balanced and vibrant settlements on the islands.

The present paper synthesizes Shucksmith's (2018) model of a good countryside, which serves as a goal, with Gkartzios et al.'s (2022) capitals framework, which is viewed as a means of attaining a good countryside, specifically a good island. The research is delimited to the island of Brac, Croatia. By conducting interviews with female respondents, this study aims to capture the female perspective on envisioning potential futures of “good” island living, a perspective that is frequently underestimated despite its significant contributions to the creation of an ideal locale.

The results demonstrate that there is a substantial amount of socio-cultural rural capital that is leveraged to strengthen relatedness and rights as development objectives. However, low levels of economic, built and land-based rural capital pose challenges to achieving repair and re-enchantment, which are crucial for settlements that rely on tourism.

These findings bear immense implications for policymakers and planners, underscoring the imperative to account for the perspectives and needs of diverse social groups, including women, in the design and implementation of development strategies for islands. By doing so, a sustainable and equitable future, rich in tourism potential, can be cultivated on the island.

The World Trade Center disaster generated many of the features seen in other disasters in the U.S., including post-disaster convergence. We conceptualize emergency management activities as taking place within a multilocational “response milieu,” and we suggest that the study of convergence should focus on the negotiated legitimacy of people in and wishing to enter it. We discuss the five types of personal convergers and how the access of each of these groups to the response milieu was related to their legitimation status. We then identify two additional forms of convergence: supporters or fans, and those who came to mourn or to memorialize. We conclude by discussing implications for policy.

Within digital innovation, there are two significant consequences of the pervasiveness of digital technology: (1) the increasing connectivity is enabling a wider reach and scope of innovation structures, such as innovation networks and (2) the unprecedented availability of digital data is creating new opportunities for innovation. Accordingly, there is a growing domain for studying data-driven innovation (DDI), especially in contemporary contexts of innovation networks. The purpose of this study is to explore how DDI processes take form in a specific type of innovation networks, namely federated networks.

A multiple case study design is applied in this paper. We draw our analysis from data collected over six months from four cases of DDI. The within-analysis is aimed at constructing the DDI process instance in each case, while the crosscase analysis focuses on pattern matching and cross-case synthesis of common and unique characteristics in the constructed processes.

Evidence from the crosscase analysis suggests that the widely accepted four-phase digital innovation process (including discovery, development, diffusion and post-diffusion) does not account for the explorative nature of data analytics and DDI. We propose an extended process comprising an explicit exploration phase before development, where refinement of the innovation concept and exploring social relationships are essential. Our analysis also suggests two modes of DDI: (1) asynchronous, i.e. data acquired before development and (2) synchronous, i.e. data acquired after (or during) development. We discuss the implications of these modes on the DDI process and the participants in the innovation network.

The paper proposes an extended version of the digital innovation process that is more specifically suited for DDI. We also provide an early explanation to the variation in DDI process complexities by highlighting the different modes of DDI processes. To the best of our knowledge, this is the first empirical investigation of DDI following the process from early stages of discovery till postdiffusion.