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This paper aims that privacy research is divided in distinct communities and rarely considered as a singular field, harming its disciplinary identity. The authors collected 119.810 publications and over 3 million references to perform a bibliometric domain analysis as a quantitative approach to uncover the structures within the privacy research field.

The bibliometric domain analysis consists of a combined directed network and topic model of published privacy research. The network contains 83,159 publications and 462,633 internal references. A Latent Dirichlet allocation (LDA) topic model from the same dataset offers an additional lens on structure by classifying each publication on 36 topics with the network data. The combined outcomes of these methods are used to investigate the structural position and topical make-up of the privacy research communities.

The authors identified the research communities as well as categorised their structural positioning. Four communities form the core of privacy research: individual privacy and law, cloud computing, location data and privacy-preserving data publishing. The latter is a macro-community of data mining, anonymity metrics and differential privacy. Surrounding the core are applied communities. Further removed are communities with little influence, most notably the medical communities that make up 14.4% of the network. The topic model shows system design as a potentially latent community. Noteworthy is the absence of a centralised body of knowledge on organisational privacy management.

This is the first in-depth, quantitative mapping study of all privacy research.

This study examined data from 13 international tall residential timber building case studies to increase our understanding of the emerging global trends.

Data were collected through literature surveys and case studies to examine the architectural, structural and constructional points of view to contribute to knowledge about the increasing high-rise timber constructions globally.

The main findings of this study indicated that: (1) central cores were the most preferred type 10 of core arrangements; (2) frequent use of prismatic forms with rectilinear plans and regular extrusions were identified; (3) the floor-to-floor heights range between 2.81 and 3.30 m with an average of 3 m; (4) the dominance of massive timber use over hybrid construction was observed; (5) the most used structural system was the shear wall system; (6) generally, fire resistance in primary and secondary structural elements exceeded the minimum values specified in the building codes; (7) the reference sound insulation values used for airborne and impact sounds had an average of 50 and 56 dB, respectively.

There is no study in the literature that comprehensively examines the main architectural and structural design considerations of contemporary tall residential timber buildings.

The purpose of this article is the discussion of a service-learning experience in architecture pedagogy, based on two core courses at a private university in Mexico. The aim is to identify learning opportunities, challenges and implications arising from engaging with inhabitants of an informal urban settlement with limited digital resources in La Campana-Altamira in Monterrey, Mexico.

The methodology selected is a case study approach, chosen for its effectiveness in architectural pedagogy to create knowledge through exposure to a particular phenomenon, as well as highlight positive teaching practices to facilitate replicability. Case-study methodology was also beneficial in this case because its openness and flexibility allowed for research of a variety of phenomena simultaneously, in this case, both the effects in the informal settlement community and in the academic one.

Findings revealed that opportunities outweigh challenges, and meaningful service and learning are possible in an online context, even when the service aspects take longer than the course length if there are long-term relationships between communities and institutions.

The value of the article lies in the need for flexible and sensitive approaches that put communities in the center, a critical path to identifying and understanding their needs and improving their contexts. This holds especially true given the rapid pace of worldwide urbanization and the ubiquity of informal urban settlements. Implementing service-learning approaches in informal settings using online tools, while sanitary restrictions are in place shows that meaningful experiences can be achieved, even when courses are short and resources are limited.

Current literature argues that citizen engagement platforms must be used to gather citizens’ feedback to provide improved quality of services to citizens. However, limited studies consider the challenges faced by practitioners at the local level during the incorporation of those feedback for continuous service improvement. As a result, these services fail to fulfil the need of citizens. The purpose of this study is to structure the relationship between citizens’ feedback and continuous service improvement to meet the need of citizens.

Design science research methodology has been adapted under which a case study approach has been followed to investigate one of the citizens’ engagement platforms in Ireland.

The results from this study highlighted that practitioners faced challenges (e.g. capacity, risk and constraints) in terms of fulfilling the needs of citizens and there is a lack of structured approach to continuously provide improved services to them.

This study provides a structured approach in the form of a process model to showcase how citizens’ feedback can be incorporated for continuously providing improved services to the citizens.

This research provides a prescriptive view to assist municipalities during the incorporation of citizens’ feedback for continuous service improvement while addressing the challenges they face during this process.

This paper proposes a process model based on the guidelines of the open group architecture framework enterprise architecture and the collaboration with practitioners that would assist local authorities in continuously providing improved services to the citizens.

The highly contagious coronavirus and the rapid spread of COVID-19 disease have generated a global public health crisis, which is being addressed at various local and global scales through social distancing measures and guidelines. This is coupled with debates about the nature of living and working patterns through intensive utilisation of information and telecommunication technologies, leading to the social and institutional acceptability of these patterns as the “new normal”. The primary objective of this article is to instigate a discourse about the potential contribution of architecture and urban design and planning in generating knowledge that responds to pressing questions about future considerations of post pandemic architecture and urbanism. Methodologically, the discussion is based on a trans-disciplinary framework, which is utilised for conceptual analysis and is operationalized by identifying and discoursing design and planning implications. The article underscores relevant factors; originates insights for areas where future research will be critically needed, through key areas: a) Issues related to urban dynamics are delineated from the perspective of urban and human geography, urban design and planning, and transportation engineering; b) Questions that pertain to socio-spatial implications and urban space/ urban life dialectics stem from the field of environmental psychology; and c) Deliberations about new environments that accommodate new living/working styles supervene from ethnographical and anthropological perspectives. The article concludes with an outlook that captures key aspects of the needed synergy between architectural and urban education, research, and practice and public health in a post pandemic virtual and global world.

This article proposes an architecture of an intelligent and autonomous recommendation system to be applied to any virtual learning environment, with the objective of efficiently recommending digital resources. The paper presents the architectural details of the intelligent and autonomous dimensions of the recommendation system. The paper describes a hybrid recommendation model that orchestrates and manages the available information and the specific recommendation needs, in order to determine the recommendation algorithms to be used. The hybrid model allows the integration of the approaches based on collaborative filter, content or knowledge. In the architecture, information is extracted from four sources: the context, the students, the course and the digital resources, identifying variables, such as individual learning styles, socioeconomic information, connection characteristics, location, etc. Tests were carried out for the creation of an academic course, in order to analyse the intelligent and autonomous capabilities of the architecture.

This paper aims to explore the topic of adaptive reuse referring to urban open spaces into a more-than-human perspective. It underlines that dealing with heritage means being part of an inherent and ongoing process of transformation and so that reuse is inextricably an adaptive practice, constantly facing mutations, and that adaptation is a coral practice that involves different kinds of users and makers, inclusive of human and not human livings.

This paper looks at the lexicon of abandonment, in search of the more essential and intense meanings of words, and at some pioneering practices in Europe to comprehend the aesthetic and ethical implications of adaptive reuse of neglected landscapes.

Processes of reuse involve many different communities of users who in turn continuously redesign the site, into a comprehensive, coral and conflicting collaboration, whose results are never given once for all and are both uncanny and beautiful, scaring and marvellous, like a monster.

Accepting the idea that humans are not the only users and makers of urban sites can widen the range of tools, methods and values involved in heritage adaptive reuse.

This paper tries to widen the meanings of adaptation into a multispecies perspective. It intends to broaden the range of agents that can be involved as users and makers, assuming a more-than-human point of view that is not yet commonly applied.

The new Italian National Recovery and Resilience Plan (NRRP) has prioritised a new healthcare model that will establish the additional community healthcare facilities (CHFs). The paper proposes a methodology for supporting decision-making on location of the future facilities according to new parameters that consider how proximity to healthcare benefits communities. Rethinking the spatial parameters for locating future CHFs, focusing on fragile areas, creates a novel decision support system.

The methodology is based on multifactor analysis and on geographic information system (GIS) mapping to simulate the potential and risks associated with the proposed location of CHFs, focusing on territorial contexts of metropolitan cities, medium-sized cities, and Inner Areas, characterized by different fragilities. This method aims to innovate urban planning practices by updating the practice of per-capita urban planning standards and promoting implementation of the 15-minute city model.

The method defines new spatial parameters useful to inform the appropriate location of CHFs in Italy's Inner Areas. This offers a new integrated approach to spatial design mixing urban planning and healthcare dimensions.

The methodology will bring about an integrated urban planning approach, which guides both transformative urban choices and health services' implementation according to the needs of communities.

Cloud Manufacturing (CM) is the manufacturing version of Cloud Computing and aims to increase flexibility in the provision of manufacturing services. On-demand manufacturing services can be requested by users to the cloud and this enables the concept of Manufacturing-as-a-Service (MaaS). Given the considerable number of prototypes and proofs of concept addressed in literature, this work seeks real CM platforms to study them from a business perspective, in order to discover what MaaS concretely means today and how these platforms are operating.

Since the number of real applications of this paradigm is very limited (if the authors exclude prototypes), the research approach is qualitative. The paper presents a multiple-case analysis of 6 different platforms operating in the manufacturing field today. It is based on empirical data and inductively researches differences among them (e.g. stakeholders, operational flows, capabilities offered and scalability level).

MaaS has come true in some contexts, and today it is following two different deployment models: open or closed to the provider side. The open architecture is inspired by a truly open platform which allows any company to be part of the pool of service providers, while the closed architecture is limited to a single service provider of the manufacturing services, as it happens in most cloud computing services.

The research shoots a picture of what MaaS offers today in term of capabilities, what are the deployment models and finally suggests a framework to assess different levels of development of MaaS platforms.