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This article explores the concept of “heritage futures”, the role of heritage in managing relations between present and future societies. It assesses how thinking strategically about the future changes, complicates and contextualises practices of heritage. What might an attention to the future bring to work in heritage, and simultaneously, what challenges—both practical and ethical—arise?

This article takes the form of a conversation about the nature of heritage futures and how such a project may be implemented in both heritage practice and field research in heritage studies. The two authors are heritage scholars who integrate heritage futures questions into their research in different ways, and their conversation uncovers potentialities and difficulties in the heritage futures project.

The discussion covers the particular ethical issues that arise when the dimension of time is added to heritage research and practice, including questions of continuism, presentism and specificity. The conversation argues for the importance of considering the future in heritage studies and heritage practice and that this forms a key part of understanding how heritage may be part of building a sustainable present and future.

The future is an under-examined concept within heritage studies, even as heritage is often framed as something to be preserved “for future generations”. But what impact might it have on heritage practice to really consider what this means, beyond the platitude? This article suggests that heritage scholars and practitioners direct their attention to this often-neglected facet of heritage.

This chapter examines the role of heritage as a means of empowering destination communities and providing deeper and more meaningful encounters between tourists and their destination, which contributes to the notion of Destination Conscience by highlighting more sustainable and humane ways of ‘doing’ tourism and opening places up to greater community involvement and access by visitors. This includes heritage concepts such as Indigenous communities, local spirituality and religious traditions, public archaeology and ordinary heritage, and how these translate into deeper engagement between residents and tourists, community empowerment and a more creative and holistic tourist experiences. Conceptually, this chapter highlights notions of empowerment, tourists' experiences and Destination Conscience.

This paper introduces a methodology to identify, analyse and represent heritage site attributes, emphasizing their impact on value, authenticity, integrity and management, with a case study on Ghadames, Libya. Inscribed in 1986 and moved to the In-Danger List in 2016 due to conflict, this work seeks to update the site's attributes and values for improved management.

This methodology, focusing on Ghadames, leverages recent heritage management advancements to monitor conflict-induced changes, aiming to enhance decision-making through a detailed analysis of the site's natural and cultural attributes.

Our findings highlight the need for systematic and holistic assessments of heritage site attributes and values, crucial for managing sites of both local and global significance. This approach is a key to understanding their identity, guiding interpretation, management and preserving cultural significance.

Developed for Ghadames, the methodology requires adaptation for other sites, underscoring the importance of identifying core tangible and intangible attributes that define a site's uniqueness.

Our developed methodology offers a replicable framework that can be modified by local heritage professionals to map attributes and assess the direct and indirect impact of conflict on heritage sites.

The detailed assessment provides a foundation for crafting informed policies and effective management strategies. It specifically targets minimizing the adverse effects of conflict on heritage sites' attributes. This effort is instrumental in preparing the necessary documentation to support the delisting of these sites from the UNESCO World Heritage Site In-Danger List, promoting their preservation and recovery.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

This exploratory study aims to help contribute to the understanding of online information search behaviour of PhD students from different humanities fields, with a focus on subject searching.

The methodology is based on a semi-structured interview within which the participants are asked to conduct both a controlled search task and a free search task. The sample comprises eight PhD students in several humanities disciplines at Linnaeus University, a medium-sized Swedish university from 2020.

Most humanities PhD students in the study have received training in information searching, but it has been too basic. Most rely on web search engines like Google and Google Scholar for publications' search, and university's discovery system for known-item searching. As these systems do not rely on controlled vocabularies, the participants often struggle with too many retrieved documents that are not relevant. Most only rarely or never use disciplinary bibliographic databases. The controlled search task has shown some benefits of using controlled vocabularies in the disciplinary databases, but incomplete synonym or concept coverage as well as user unfriendly search interface present hindrances.

The paper illuminates an often-forgotten but pervasive challenge of subject searching, especially for humanities researchers. It demonstrates difficulties and shows how most PhD students have missed finding an important resource in their research. It calls for the need to reconsider training in information searching and the need to make use of controlled vocabularies implemented in various search systems with usable search and browse user interfaces.

The purpose of this study is to address the challenges faced by rural areas and promote their sustainable development. It emphasizes the importance of re-establishing connections and cultivating a sense of belonging within rural communities, while safeguarding their cultural heritage. The study explores the potential of digital and creative tools in enhancing learning, supporting food production and tourism, facilitating research and providing engaging experiences. It also examines the economic condition of rural areas and the potential for their contribution to the national economy. Additionally, the study highlights the significance of sustainable community development, the role of rural areas in resilience and climate change adaptation and the complexities surrounding rural migration. The aim is to provide insights and recommendations for policymakers and stakeholders involved in rural development initiatives, focusing on the Mediterranean region.

This study develops an understanding of the role of digital and creative strategies in rural communities, highlighting their significance in preserving food heritage, culture and community capital while driving economic development. It specifically focuses on the Unesco Intangible Mediterranean Diet (UIMD) as a potential catalyst for regeneration through the integration of creative and digital tools and three cases are presented. The first is the impact of the Future Food Institute (FFI) ecosystem in the Living Lab in Pollica (Salerno, Italy); the second focuses on the digital tools provided by the CKF to support rural areas; and the third is a new identity and promotion of territorial development, co-designed in the Val di Vara (VdV) a rural region of the Ligurian inland in Italy, through digital strategies, heritage preservation and slow tourism development. The three cases highlight different ways of enhancing environmental and cultural heritage and demonstrate how collaborative creativity and digital tools contribute to the co-construction of knowledge and addressing critical issues to promote sustainable growth in rural areas.

The findings of this study indicate that re-establishing connections and fostering a sense of belonging within rural communities is crucial for their sustainable development. The use of digital and creative tools presents significant opportunities in enhancing various aspects such as learning, food production, tourism and research in rural areas. The study also reveals the potential economic contributions of rural areas to the national economy. It emphasizes the importance of sustainable community development and highlights the role of rural areas in resilience and climate change adaptation. Additionally, the study addresses the complexities surrounding rural migration and emphasizes the need for comprehensive policies to ensure the well-being and rights of migrant workers. The insights and recommendations provided in this study aim to guide policymakers and stakeholders involved in rural development initiatives, particularly in the Mediterranean region.

Nonetheless, it is imperative to acknowledge certain limitations within the scope of this study, primarily associated with the specific sample selection, potentially influencing the broader applicability of the findings. There is potential to explore a wider geographic area in future research. Additionally, the research underscores the importance of conducting further inquiries into certain aspects that have received limited attention. Living labs are a relatively recent phenomenon, warranting further in-depth scientific research. Additionally, the existing literature on this subject is often limited in scope.

The study and project aim to illustrate the feasibility of initiating a transformative process, centered on a visionary approach with a core focus on creative knowledge and the Mediterranean diet as a way of life, to revitalize marginalized communities. Furthermore, it seeks to emphasize that these neglected regions possess untapped potential for innovative ideas and opportunities. Rural communities, in their role as farmers of primary goods, are the ones who nurture the environment, and the landscape, and are the true protagonists of every era. Rurality is the place that preserves the most resources and potential in terms of biodiversity and rural knowledge. Every territory, like every human being, has its own characteristics and vocations to pursue. The existing Genius Loci is already an existing value that requires policies and governance to rediscover roots, identity and worth. The stratification of existing collective intelligence must become central and must be individually assessed and enhanced, also taking advantage of new digital technologies.

The social implications of this study are significant. By emphasizing the importance of re-establishing connections and cultivating a sense of belonging within rural communities, the study recognizes the social value of strong community ties. This can lead to increased social cohesion, a sense of identity and improved overall well-being within rural areas. The study also highlights the potential of digital and creative tools in enhancing learning, which can contribute to the empowerment and educational opportunities of individuals in rural communities. Furthermore, by promoting sustainable community development and addressing the complexities surrounding rural migration, the study acknowledges the social impact of inclusive policies that protect the rights and well-being of both local populations and migrant workers. Overall, the study's recommendations have the potential to foster social resilience, equity and a more vibrant social fabric within rural areas.

This study can offer valuable insights and recommendations for policymakers and stakeholders involved in rural development initiatives, particularly those focused on preserving food and cultural heritage in rural areas. By analyzing real-life examples, it bridges the gap between theory and practice, illustrating how these ideas have been effectively applied in specific contexts. This paper emphasizes the potential of the Mediterranean Diet as a sustainable and nutritious model with sociocultural, health, economic and environmental benefits, highlighting the importance of bottom-up approaches that empower local communities as custodians of knowledge and culture. It also provides practical strategies, such as investments in educational programs, the establishment of international campuses and the use of multichannel platforms for immersive experiences, which can be adapted for broader rural development initiatives, promoting sustainability and community engagement.

The French higher education system has experienced reforms since the 2000s that gradually emphasized the executive power of universities and the centralization of decision-making. This culminated with the excellence initiatives (Idex) that concentrated 7.7 billion euros on only nine institutions to create “world-class” universities and made their leaders responsible for the local allocation of this substantial endowment. The universities’ executives had four years to complete changes in governance in order to see their institution permanently awarded the title and the funding of Idex. The hiring process is one of the elements that this policy impacted the most within these universities, enabling leaders to create new kinds of positions and control the hiring process. However, by looking at the hiring practices within three different Idex, we will show that collegiality did not disappear but rather it evolved: in the three cases, the closest colleagues have been marginalized but decision-making remained collective and in the hands of academics chosen by the university executives. Variations in the intensity of this evolution could be observed according to two dimensions. First, the scientific reputation of the university: the higher it is, the less collegiality is transformed. Second, the level of external pressures: the less collegial universities have relaxed their hiring practices after the evaluation that permanently granted them the label of Idex.