Multidisciplinary Analysis Research Articles

Paleogenetic analysis and radiocarbon dating on skeletal remains from the Roman necropolis of Contrada Diana (Lipari Island, Sicily)

Lipari, the largest of the Aeolian Islands, is located in the southern Tyrrhenian Sea. Archeological evidence suggests an early human occupation starting from the Neolithic period. The island, favored by its volcanic history, was an important crossroads of cultures and commerce exchanges during prehistory up to Greek and Roman dominations. In this study, we present multidisciplinary analysis results on four skeletal remains from the necropolis of Contrada Diana attributed to the Roman period. By using Next Generation Sequencing technology we identified the biological sex and reconstructed the complete mitochondrial genome for two individuals. We retrieved the first ancient L3e5a lineage that is today present only in North and Central Africa. In addition, a 14C dating of 2,030 ± 45 years BP was obtained for one individual. A previous ancient DNA study has highlighted a genetic link between Sicily and the African continent at least from the Bronze Age. Our results, documenting the existence of contacts between Lipari and Africa during Roman influence, are particularly relevant to better understand the peopling of the Aeolian Archipelago when the island was a sea route of primary importance for the trade in the Mediterranean.

The Disciplinary Identity of International Criminal Law: Balancing Between Positivism and Multidisciplinarity

This essay discusses how the character and nature of international criminal law influence the way it is studied. By providing a historical review of its intellectual origins, it shows why international criminal law’s disciplinary identity remains under the influence of positivistic principles. In going beyond international criminal law, this essay also critically discusses why some hold a multidisciplinary analysis of international law in contempt and exposes the challenges of placing legal scholarship in distinct categories by labelling legal academics as positivists, doctrinalists, practice-oriented, policy-driven, or as multidisciplinarians. This piece will describe how international criminal law is being studied, how scholarship developed, and whether the value of the research lies in its relevance for the practice before international criminal courts. In discussing the pitfalls of pure doctrinal or multidisciplinary research, it weaves together theoretical considerations beyond the traditional positivistic paradigm with a plea to study international criminal law under different sensibilities and disciplinary protocols.

A Systematic Literature Review on Urban Resilience Enabled with Asset and Disaster Risk Management Approaches and GIS-Based Decision Support Tools

Urban Resilience (UR) enables cities and communities to optimally withstand disruptions and recover to their pre-disruption state. There is an increasing number of interdisciplinary studies focusing on conceptual frameworks and/or tools seeking to enable more efficient decision-making processes that lead to higher levels of UR. This paper presents a systematic review of 68 Scopus-indexed journal papers published between 2011 and 2022 that focus on UR. The papers covered in this study fit three categories: literature reviews, conceptual models, and analytical models. The results of the review show that the major areas of discussion in UR publications include climate change, disaster risk assessment and management, Geographic Information Systems (GIS), urban and transportation infrastructure, decision making and disaster management, community and disaster resilience, and green infrastructure and sustainable development. The main research gaps identified include: a lack of a common resilience definition and multidisciplinary analysis, a need for a unified scalable and adoptable UR model, margin for an increased application of GIS-based multidimensional tools, stochastic analysis of virtual cities, and scenario simulations to support decision making processes. The systematic literature review undertaken in this paper suggests that these identified gaps can be addressed with the aid of asset and disaster risk management methods combined with GIS-based decision-making tools towards significantly improving UR.

The Journey of Nudsugana

Abstract The Världskulturmuseet in Gothenburg (Sweden) has a unique archaeological and ethnographic collection of the Gunadule people (Panama) which has its origins in the late 19th century. Standing out in this collection are the wooden sculptures generally known as nudsugana. Carved into anthropomorphic and zoomorphic forms by the Gunadule communities, the nudsugana embody the properties of the trees, humanizing them without changing their nature. A large number of them travelled across the Atlantic Ocean with the Swedish anthropologist Erland Nordenskiöld in 1927 to become part of what was then the Gothenburg Ethnographic Museum. Many others came later, up until the 1970s; today there are over one hundred of them. Some of these carvings have been studied to explore all the possibilities offered by multidisciplinary analysis. In this paper, we explain the methodology used in this study and the first results of what the nusdsugana can tell us about the people, forests, and trees they stem from.

A multi-disciplinary analysis of the exceptional flood event of July 2021 in central Europe – Part 1: Event description and analysis

Abstract. The July 2021 flood in central Europe was one of the five costliest disasters in Europe in the last half century, with an estimated total damage of EUR 32 billion. The aim of this study is to analyze and assess the flood within an interdisciplinary approach along its entire process chain: the synoptic setting of the atmospheric pressure fields, the processes causing the high rainfall totals, the extraordinary streamflows and water levels in the affected catchments, the hydro-morphological effects, and the impacts on infrastructure and society. In addition, we address the question of what measures are possible to generate added value to early response management in the immediate aftermath of a disaster. The superposition of several factors resulted in widespread extreme precipitation totals and water levels well beyond a 100-year event: slow propagation of the low pressure system Bernd, convection embedded in a mesoscale precipitation field, unusually moist air masses associated with a significant positive anomaly in sea surface temperature over the Baltic Sea, wet soils, and steep terrain in the affected catchments. Various hydro-morphodynamic processes as well as changes in valley morphology observed during the event exacerbated the impact of the flood. Relevant effects included, among many others, the occurrence of extreme landscape erosion, rapidly evolving erosion and scour processes in the channel network and urban space, recruitment of debris from the natural and urban landscape, and deposition and clogging of bottlenecks in the channel network with eventual collapse. The estimation of inundation areas as well as the derived damage assessments were carried out during or directly after the flood and show the potential of near-real-time forensic disaster analyses for crisis management, emergency personnel on-site, and the provision of relief supplies. This study is part one of a two-paper series. The second part (Ludwig et al., 2022) puts the July 2021 flood into a historical context and into the context of climate change.

La conoscenza per il recupero dei ‘valori’ del passato: il caso della chiesa della Madonna delle Vergini a Matera

The boundary of the Park of the Rupestrian Churches in Matera, UNESCO World Heritage Site, is characterized by an historical and anthropological value in which the signs of man are strictly related to the signs of nature. It includes the Church of the Madonna delle Vergini (caved into the stone as a lot of dwellings in the Sassi and mentioned in documents as far back as the 16th century), the only rupestrian church open to cult of faithful until today. A place of historical and artistic memory, it is a synthesis of the territory's settlement modalities that describe the changes of times and cultures. In it are expressions of ancient popular traditions, now lost. These traces, in their ‘fragile’ testimony, represent an opportunity for study and critical and multidisciplinary analysis necessary for a design approach aimed at recovering the values of the past, reinforcing new scenarios for the enjoyment of material and immaterial values, belonging to the religious and rupestrian culture.

Remodelling of the fibre-aggregate structure of collagen gels by cancer-associated fibroblasts: A time-resolved grey-tone image analysis based on stochastic modelling.

Solid tumors consist of tumor cells associated with stromal and immune cells, secreted factors and extracellular matrix (ECM), which together constitute the tumor microenvironment. Among stromal cells, activated fibroblasts, known as cancer-associated fibroblasts (CAFs) are of particular interest. CAFs secrete a plethora of ECM components including collagen and modulate the architecture of the ECM, thereby influencing cancer cell migration. The characterization of the collagen fibre network and its space and time-dependent microstructural modifications is key to investigating the interactions between cells and the ECM. Developing image analysis tools for that purpose is still a challenge because the structural complexity of the collagen network calls for specific statistical descriptors. Moreover, the low signal-to-noise ratio of imaging techniques available for time-resolved studies rules out standard methods based on image segmentation. In this work, we develop a novel approach based on the stochastic modelling of the gel structure and on grey-tone image analysis. The method is then used to study the remodelling of a collagen matrix by migrating breast cancer-derived CAFs in a three-dimensional spheroid model of cellular invasion imaged by time-lapse confocal microscopy. The structure of the collagen at the scale of a few microns consists in regions with high fibre density separated by depleted regions, which can be thought of as aggregates and pores. The approach developped captures this two-scale structure with a clipped Gaussian field model to describe the aggregates-and-pores large-scale structure, and a homogeneous Boolean model to describe the small-scale fibre network within the aggregates. The model parameters are identified by fitting the grey-tone histograms and correlation functions of the images. The method applies to unprocessed grey-tone images, and it can therefore be used with low magnification, noisy time-lapse reflectance images. When applied to the CAF spheroid time-resolved images, the method reveals different matrix densification mechanisms for the matrix in direct contact or far from the cells. We developed a novel and multidisciplinary image analysis approach to investigate the remodelling of fibrillar collagen in a 3D spheroid model of cellular invasion. The specificity of the method is that it applies to the unprocessed grey-tone images, and it can therefore be used with noisy time-lapse reflectance images of non-fluorescent collagen. When applied to the CAF spheroid time-resolved images, the method reveals different matrix densification mechanisms for the matrix in direct contact or far from the cells.

To the field of stars: Stable isotope analysis of medieval pilgrims and populations along the Camino de Santiago in Navarre and Aragon, Spain

The Camino de Santiago emerged in the first half of the 9th century CE following the reported discovery of the remains of the Apostle St James by the bishop of Iria-Flavia, Teodomiro. Since then, hundreds of thousands of pilgrims have walked from different parts of the Iberian Peninsula, Europe, and further afield to Santiago de Compostela's Cathedral. This route was particularly important to the populations of Navarre and Aragon, two kingdoms in northern Spain that rose to prominence with the resurgence of Christianity from the 11th century onwards. Here, we present multidisciplinary analysis of medieval individuals buried in Navarre and Aragon at a time when the Camino de Santiago was reaching its peak of popularity (11th-15th centuries CE). We use stable isotope analysis (δ15N, δ13C, δ18O, and δ13Cap) and radiocarbon dating to investigate a total of 82 human individuals together with 42 fauna samples from 8 different archaeological sites located in the northeast of the Iberian Peninsula. Twenty of these individuals were buried with a scallop shell, a symbol of a pilgrim who had completed the Camino de Santiago. Our data corroborate the use of the pilgrim's shell since at least the 11th century CE. Moreover, our results suggest that the pilgrimage was mainly an urban phenomenon for populations from the northern Iberian Peninsula, conducted equally by women and men, although with indications that female pilgrims may have had greater access to animal protein than their male counterparts. Our results represent the largest isotopic dataset of medieval individuals linked to the Camino de Santiago, allowing us to further investigate the origins and diets of potential pilgrims and, more generally, other sampled portions of northeastern Iberian society.

MDAO and Aeroelastic Analyses of Small Solar-Powered UAVs with Box-Wing and Tandem-Wing Architectures

The market of solar-powered Unmanned Aerial Vehicles (UAVs) for defence purposes and drone services is expected to grow by a factor of more than 2 in the next decade. From an aircraft design perspective, the main challenge is the scalability of the proposed architectures, which is needed to increase the payload capabilities. Beside some successful examples of wing-tail UAVs, some newcomers are developing prototypes with tandem-wing architectures, hence enlarging the possible design. The present paper aims to introduce a further step in this direction, taking also the box-wing architecture into account to show how the presence of wing tip joiners can provide benefits from the aeroelastic point of view. UAVs with take-off mass within 25 kg are considered and the main tools adopted are presented. These are an in-house developed Multi-Disciplinary Analysis and Optimization (MDAO) code called SD2020 and the open source aeroelastic code ASWING, both presented together with an assessment of their accuracy by means of higher fidelity numerical results. SD2020 results are presented for the case of small box-wing solar UAVs optimized to achieve the longest endurance, focusing on the strategy implemented to achieve feasible solutions under an assigned set of constraints. Further results are presented for comparable box-wing and tandem-wing UAVs from both the aerodynamic and aeroelastic standpoints. Whereas the aerodynamic advantages introduced by the box-wing are marginal, significant advantages result from the aeroelastic analyses which indicate that, if the joiners are removed from the box-wing configuration, safety margin from flutter speed is halved and the bending-torsion divergence occurs at relatively low speed values.

A Clinical Workflow for Cost-Saving High-Rate Diagnosis of Genetic Kidney Diseases.

To optimize the diagnosis of genetic kidney disorders in a cost-effective manner, we developed a workflow based on referral criteria for in-person evaluation at a tertiary center, whole-exome sequencing, reverse phenotyping, and multidisciplinary board analysis. This workflow reached a diagnostic rate of 67%, with 48% confirming and 19% modifying the suspected clinical diagnosis. We obtained a genetic diagnosis in 64% of children and 70% of adults. A modeled cost analysis demonstrated that early genetic testing saves 20% of costs per patient. Real cost analysis on a representative sample of 66 patients demonstrated an actual cost reduction of 41%. This workflow demonstrates feasibility, performance, and economic effect for the diagnosis of genetic kidney diseases in a real-world setting. Whole-exome sequencing (WES) increases the diagnostic rate of genetic kidney disorders, but accessibility, interpretation of results, and costs limit use in daily practice. Univariable analysis of a historical cohort of 392 patients who underwent WES for kidney diseases showed that resistance to treatments, familial history of kidney disease, extrarenal involvement, congenital abnormalities of the kidney and urinary tract and CKD stage ≥G2, two or more cysts per kidney on ultrasound, persistent hyperechoic kidneys or nephrocalcinosis on ultrasound, and persistent metabolic abnormalities were most predictive for genetic diagnosis. We prospectively applied these criteria to select patients in a network of nephrology centers, followed by centralized genetic diagnosis by WES, reverse phenotyping, and multidisciplinary board discussion. We applied this multistep workflow to 476 patients with eight clinical categories (podocytopathies, collagenopathies, CKD of unknown origin, tubulopathies, ciliopathies, congenital anomalies of the kidney and urinary tract, syndromic CKD, metabolic kidney disorders), obtaining genetic diagnosis for 319 of 476 patients (67.0%) (95% in 21 patients with disease onset during the fetal period or at birth, 64% in 298 pediatric patients, and 70% in 156 adult patients). The suspected clinical diagnosis was confirmed in 48% of the 476 patients and modified in 19%. A modeled cost analysis showed that application of this workflow saved 20% of costs per patient when performed at the beginning of the diagnostic process. Real cost analysis of 66 patients randomly selected from all categories showed actual cost reduction of 41%. A diagnostic workflow for genetic kidney diseases that includes WES is cost-saving, especially if implemented early, and is feasible in a real-world setting.

Well-being, multidisciplinary work and a skillful team: essential elements of successful treatment in severe challenging behavior in dementia

Objective Conceptualize successful treatment of persons with dementia and severe challenging behavior as perceived by professionals. Methods In this concept mapping study 82 experts in dementia care participated. The study followed two phases of data collection: (1) an online brainstorm where participants completed the focus prompt: ‘I consider the treatment of people with severe challenging behavior in dementia successful if.’; (2) individual sorting and rating of the collected statements followed by data analysis using multidimensional scaling and hierarchical cluster analysis, resulting in a concept map. Results Three clusters were identified, the first addressing treatment outcomes and the latter two addressing treatment processes, each divided into sub-clusters: (1) well-being, comprising well-being of the person with dementia and all people directly involved; (2) multidisciplinary analysis and treatment, comprising multidisciplinary analysis, process conditions, reduction in psychotropic drugs, and person-centered treatment; and (3) attitudes and skills of those involved, comprising consistent approach by the team, understanding behavior, knowing how to respond to behavior, and open attitudes. Conclusions Successful treatment in people with dementia and severe challenging behavior focuses on well-being of all people involved wherein attention to treatment processes including process conditions is essential to achieve this.

Correction: Multidisciplinary analyses of the rupture characteristic of the June 14, 2020, Mw 5.9 Kaynarpınar (Karlıova, Bingöl) earthquake reveal N70E-striking active faults along the Yedisu Seismic Gap of the North Anatolian Fault Zone

Correction: Multidisciplinary analyses of the rupture characteristic of the June 14, 2020, Mw 5.9 Kaynarpınar (Karlıova, Bingöl) earthquake reveal N70E-striking active faults along the Yedisu Seismic Gap of the North Anatolian Fault Zone

Knowledge-Mapping Analysis of Urban Sustainable Transportation Using CiteSpace

With the accelerating process of global urbanization, environmental protection has become a hot issue for researchers, practitioners, and policy makers, with such questions as how to make urban transportation markedly sustainable to meet the pace of sustainable economic and social growth. This study visualizes and quantifies the extant publications on urban sustainable transportation research on Web of Science using CiteSpace for a wide range of research topics, including the intellectual structure, development, and evolution of urban sustainable transportation. First, this study presents the characteristics of a number of published papers in relevant fields and time stages, including publication in journals, co-occurrence of keywords, co-occurrence of disciplines and fields, and co-occurrence of the literature through network analysis. This study identifies the basic research contents and high-frequency knowledge contents of urban sustainable transportation. Second, this research analyzes the authors’ cooperation, national cooperation, and research institute cooperation networks. This study identifies the most influential authors, research institutions, and countries. Lastly, this study identifies the research frontiers and trend themes from 1991 to 30 September 2022 through co-citation clustering and research on burst detection, a combination of bibliometric methods, and a systematic review. Accordingly, this study demonstrates the research progress in this field from the perspectives of multiple themes, such as land development and utilization, sustainable transportation systems, low-carbon paths, public transport, electric vehicles, sharing modes, traveler behavior, and smart cities. These aspects provide readers with a preliminary understanding of the development of urban sustainable transportation, indicating that multidisciplinary, multiprofessional, and multiangle cooperation and analysis will become the dominant trend in this field.

Value Stream Mapping applied to information management in infection control

Infection control teams collect and produce information on epidemiologic surveillance for prevention of Healthcare Associated Infections (HAIs). Value Stream Mapping (VSM) is a Lean method for developing process through flow efficiency. The aim of the study was to use VSM to identify opportunities for improvement in the infection control department. Flow of information and infection control activities were reviewed using VSM and a questionnaire, where time required for each task was measured. The actual VSM went through multidisciplinary analysis and an ideal VSM was created without considering resource limits. The ideal VSM was reviewed to identify the improvements easily implemented and the ones that would require more time or resources. The actual VSM analysis addressed work overload for Key Performance Indicators (KPI) production, data management (fragmentation, access and redundant work, storage, time between tasks, time typing) and tasks performed retrospectively, when less information is available and with no opportunity to correct protocol deviation. The implementation of the ideal VSM provided a faster and more efficient HAIs analysis, London protocol for HAI cases and surgical prophylaxis evaluation became real time tasks, and all surgical surveillance was improved. A mobile app was proposed as an intervention and became a long-term project. If completely implemented, the ideal VSM would result in 15.7 less work hours/month, having the working time optimized for patient care. VSM is an important tool for epidemiologic surveillance in infection control allowing better data management, continuous workflow, and new information production with potentially fewer work hours.

Multidisciplinary Optimization and Analysis of Stratospheric Airships Powered by Solar Arrays

Stratospheric airships have much potential in military and commercial applications. Design, analysis and optimization of stratospheric airships involves complex trade-off of different disciplines, and hence a multidisciplinary approach is essential. This paper describes a methodology coupling several disciplines and involving seven design variables to obtain the optimal design of a stratospheric airship powered by solar arrays. A numerical method is established to calculate the output power of the solar array in the optimization process. The optimal solutions are obtained using hybrid algorithms. The methodology can obtain the optimal envelope shape, solar array layout and other general configurations of subsystems. Results show that the methodology was able to achieve a solution with a 19.2% reduction in airship volume compared to the value being part of an arbitrary initial set of airship parameters. In addition, a comparative study is carried out to highlight the importance of considerations of solar array layouts and array circumferential location. Furthermore, detailed sensitivity analysis shows that operating parameters of latitudes, heading angles and average resisting wind speeds have significant effects on the airship design and solar array layouts.

Rare Presentation of Aortic Aneurysm: A Diagnostic Challenge

This case report highlights a rare presentation of abdominal aortic aneurysm, which posed a diagnostic challenge due to its atypical clinical manifestations. The patient initially presented with vague symptoms of renal colic and underwent a comprehensive evaluation, including imaging studies, to establish the diagnosis. Through a multidisciplinary approach and careful analysis of the diagnostic findings, a rare form of aortic aneurysm was identified. This case emphasizes the importance of considering unusual presentations of aortic aneurysms and the need for thorough investigation to ensure accurate diagnosis and appropriate management. Keywords: aortic aneurysm, rare presentation, diagnostic challenge, multidisciplinary approach

A Tale of Two Port Cities. Al-Mahdiyya, Palermo, and the Timber Trade of the Medieval Mediterranean

Although the timber trade was essential in the tenth century to the global ambitions of the North African Fatimid Caliphate, environmental and political obstacles compelled the Fatimids to obtain most of their precious cargo from Sicily. This article discusses timber’s essential importance to the Fatimids and how they procured this commodity, shedding light on the historical developments that occurred at the ports of al-Mahdiyya and Palermo under the Fatimids as a result of continuous trade between Ifrīqiya and Sicily. Applying a multidisciplinary analysis of Fatimid chancellery documents, historical texts, material culture, environmental history, and history of art, this article considers the role of the timber trade in the urban development of these two port cities. Specifically, it looks closely at the direct role of Ustādh Jūdhar, a tenth-century Fatimid official, in the procurement of timber. The result is a nuanced picture of the complexities of trade in the medieval Islamic Mediterranean world.

Gradient-based optimization of micro-scale pressurized volumetric receiver geometry and flow rate

This study focuses on the design optimization of a micro-scale pressurized volumetric receiver by changing geometry and flow rate constrained by the volume, outlet air temperature, and outer surface temperature. The pressurized volumetric receiver model is replicated from an existing model, which assumes constant air pressure and neglects the convection loss from the cavity. The existing model is revised from a solver to a design optimizer.The replicated model is restructured using OpenMDAO (Open-source MultiDisciplinary Analysis and Optimization) framework, and analytical derivatives are implemented for efficient derivative calculation to increase optimization performance. The replicated model is verified, and the maximum outlet air temperature difference is less than 0.05%. Optimization performance, selection of optimizers, the effect of the domain size, and radiative methods are discussed. The combined impact of the design variables is observed by selecting SLSQP (Sequential Least SQuares Programming) and trust-region optimizers. Optimization performance is tested in different domain sizes and compared with a design of experiments analysis. For testing the impact of radiative heat transfer methods to design optimization, the Rosseland approximation, and P1 method are selected. Depending on the design domain, a solution methodology is suggested for future receiver design optimizations applicable for macro-scale pressurized volumetric receivers.

A New Approach for Improving GNSS Geodetic Position by Reducing Residual Tropospheric Error (RTE) Based on Surface Meteorological Data

Positioning error components related to tropospheric and ionospheric delays are caused by the atmosphere in positioning determined by global navigation satellite systems (GNSS). Depending on the user’s requirements, the position error caused by tropospheric influences, which is commonly referred to as zenith tropospheric delay (ZTD), must be estimated during position determination or determined later by external tropospheric corrections. In this study, a new approach was adopted based on the reduction of residual tropospheric error (RTE), i.e., the unmodeled part of the tropospheric error that remains included in the total geodetic position error, along with other unmodeled systematic and random errors. The study was performed based on Global Navigation Satellite System (GLONASS) positioning solutions and accompanying meteorological parameters in a defined and harmonized temporal-spatial frame of three locations in the Republic of Croatia. A multidisciplinary approach-based analysis from a navigational science aspect was applied. The residual amount of satellite positioning signal tropospheric delay was quantitatively reduced by employing statistical analysis methods. The result of statistical regression is a model which correlates surface meteorological parameters with RTE. Considering the input data, the model has a regional character, and it is based on the Saastamoinen model of zenith tropospheric delay. The verification results show that the model reduces the RTE and thus increases the geodetic accuracy of the observed GNSS stations (with horizontal components of position accuracy of up to 3.8% and vertical components of position of up to 4.37%, respectively). To obtain these results, the Root Mean Square Error (RMSE) was used as the fundamental parameter for position accuracy evaluation. Although developed based on GLONASS data, the proposed model also shows a considerable degree of success in the verification of geodetic positions based on Global Positioning System (GPS). The purpose of the research, and one of its scientific contributions, is that the proposed method can be used to quantitatively monitor the dynamics of changes in deviations of X, Y, and Z coordinate values along coordinate axes. The results show that there is a distinct interdependence of the dynamics of Y and Z coordinate changes (with almost mirror symmetry), which has not been investigated and published so far. The resultant position of the coordinates is created by deviations of the coordinates along the Y and Z axes—in the vertical plane of space, the deviations of the coordinate X (horizontal plane) are mostly uniform and independent of deviations along the Y and Z axes. The proposed model shows the realized state of the statistical position equilibrium of the selected GNSS stations which were observed using RTE values. Although of regional character, the model is suitable for application in larger areas with similar climatological profiles and for users who do not require a maximum level of geodetic accuracy achieved by using Satellite-Based Augmentation Systems (SBAS) or other more advanced, time-consuming, and equipment-consuming positioning techniques.

Promoting Sustainable and Resilient Constructive Patterns in Vulnerable Communities: Habitat for Humanity’s Sustainable Housing Prototypes in El Salvador

The global challenges regarding sustainability and the guarantee of minimum habitability requirements have led to the transformation of construction practices, where research has failed to achieve sufficient dissemination and findings. The purpose of this research is to promote sustainable and resilient patterns in construction in vulnerable neighbourhoods in emerging countries by disseminating techniques and mechanisms through in situ transfer workshops and by raising awareness of the environmental importance of construction. Regarding materials and methods, this paper contributes innovative insights by combining training workshops and awareness-raising sessions to promote both environmental education and sustainable and optimised habits in construction. These methods are applied and tested in a real case study in El Salvador. Subsequent to carrying out a multi-disciplinary assessment analysis, the outcomes and results have led to the design of prototypes that have obtained a global EDGE certificate on sustainable construction and efficient use of resources once the users’ testimonies, weaknesses, and strengths have been addressed. The conclusions indicate that families, volunteers, and technical workers need to be trained by promoting environmental awareness in social housing and establishing a plan for dissemination to communicate across universities and public and private institutions in order to replicate guidelines across American dry-corridor countries.