History Project Research Articles

It's not about building houses; it's about building people's power: Conversation with Carmen and Andrea from the Movimiento territorial de Liberación (MTL) Buenos Aires

This conversation offers a look into the practices of the Movimiento Territorial de Liberación (MTL), a political and social organization in Argentina. It highlights the organization’s history, values, and significant projects, such as housing developments and community initiatives. Founded in 1999 after a break from the Argentine Communist Party over ideological differences, the MTL has its roots in Marxist-Leninist thought. Their work include building neighborhoods and developing collective housing for those displaced by neoliberal policies. The MTL’s projects go beyond merely providing shelter; they aim to foster a way of life that embodies their values of self-management, solidarity, and resistance against capitalist exploitation. Carmen, a leader within MTL, shares their journey, the challenges faced, and the ideological foundations of their work. Andrea, another key figure, manages finances and emphasizes the importance of transparency and accountability in their operations. The conversation also touches on the broader Latin American and global context, situating MTL's struggle within a larger framework of resistance against neoliberalism and imperialism.

A Global Analysis of Historical and Future Changes in Mediterranean Climate‐Type Regions

ABSTRACTMediterranean climate‐type regions (MCRs) are characterised by warm‐to‐hot dry summers and mild‐wet winters. These regions are typically found on the western or southern edges of continents, for example, in the Mediterranean Basin, the west coast of North and South America, southern Africa and southwest Australia. The MCRs are vulnerable to climate variability and change related to their unique characteristics, such as pronounced rainfall seasonality and prolonged hot and dry summers. Based on historical observations and CMIP6 climate projections, we apply an empirical bio‐climatic assessment of how the geographic distribution of MCRs has changed during the last century and how these zones will be further impacted under continued warming. Results indicate a poleward and eastward expansion of MCRs in the Mediterranean Basin, North America‐California and South America‐Central Chile regions. For parts of Southern Africa and Southern Australia, a retreat of the MCR margins and an expansion of more arid climate zones are projected. These shifts are particularly profound according to high emission and radiative forcing pathways and future scenarios. The warming in MCRs is projected to accelerate (e.g., mean regional warming of up to 5.5°C under a 4°C global warming scenario), and precipitation will decrease by about 5%–10% for every additional degree of global warming. One exception is the California MCR, where rainfall will likely increase. Such changes can challenge water resources, food security and other aspects of human livelihood and ecosystems in these unique geographical zones.

A Enhanced Process for Examining Resumes and Organizing Candidates Through Statistical Methods

Selecting suitable applicants is an important part of the screening process in a recruitment consulting firm. In general, traditional recruiting practices are used by the majority of businesses and consulting organizations. The primary strategy is employing resume-based screening techniques to attract exceptionally skilled researchers and developers for high-tech enterprises. Typically, the organization evaluates the individual's qualifications, professional history, employment experience, motivations, specialist abilities, and past creative projects as shown in their résumé in order to select the most suited candidate. The study sought to examine and mechanize efficient screening techniques utilized by consulting firms, emphasizing the need of ongoing research in comprehending evolving customer requirements and enhancing the screening process. Various techniques typically employ automated image analysis and heuristic methods to extract tabular bioinformatics data from resumes, with the aim of gathering pertinent information. This research employs optical character recognition (OCR) as it circumvents the inherent automotive engineering of the document and has been demonstrated to be a viable approach. Resumes in PDF format were gathered via convenience sampling and systematic random sampling, and data was then extracted from the resume documents by OCR. The pertinent data is subsequently analyzed using statistical techniques such as the Chi-square test, percentage studies, and the weighted average approach based on factors such as experience, technical/non-technical skills, employability, career advancement, salary expectations, and role/designation expectations. The proposed approach empowered the selection of the appropriate resumes for the subsequent recruitment progression.. sections. Such references are made by indicating the section number, for example, “In Sec. 2 we showed...” or “Section 2.1 contained a description....” If the word Section, Reference, Equation, or Figure starts a sentence, it is spelled out. When occurring in the middle of a sentence, these words are abbreviated Sec., Ref., Eq., and Fig. At the first occurrence of an acronym, spell it out followed by the acronym in parentheses, e.g., charge-coupled diode (CCD). Key Words: Resume screening process; Optical character recognition; Recruitment; Chi-square test, subsequently analyzed pertinent data; efficient screening technique; appropriate resume; PDF;

Land Cover Mapping in West Africa: A Collaborative Process

The availability of current land cover and land use (LCLU) information for monitoring the status of land resources has considerable value in ensuring sustainable land use planning and development. Similarly, the need to provide updated information on the extent of LCLU change in West Africa has become apparent, given the increasing demand for land resources driven by rapid population growth. Over the past decade, multiple projects have been undertaken to produce regional and national land cover maps. However, using different classification systems and legends has made updating and sharing land cover information challenging. This has resulted in the inefficient use of human and financial resources. The development of the Land Cover Meta Language (LCML) based on International Organization for Standardization (ISO) standards offers an opportunity to create a standardized classification system. This system would enable easier integration of regional and national data, efficient management of information, and better resource utilization in West Africa. This article emphasizes the process and the need for multistakeholder collaboration in developing a standardized land cover classification system for West Africa, which is currently nonexistent. It presents the survey data collected to evaluate historical, current, and future land cover mapping projects in the region and provides relevant use cases as examples for operationalizing a standardized land cover classification legend for West Africa.

An operational IoT-based slope stability forecast using a digital twin

The paper investigates the combined use of real-time hydrological monitoring, publicly available meteorological data and hydrological and geotechnical numerical modelling, to develop data-driven models to forecast the stability of a slope. This study showcases a first attempt to integrate these critical aspects into a fully automatic Internet of Thing (IoT)-based local landslide early warning system (Lo-LEWS).The paper uses a validated hydrological numerical model, back-calculated over real monitored conditions, to evaluate the slope stability. The factor of safety (FoS) was computed coupling the commercial package GeoStudio, using transient SEEP/W and Slope. The analyses were conducted for 5 different 1-year datasets encompassing both historical (2019–2020, 2021–2022, 2022–2023) and future projections (2064–2065, 2095–2096) of meteorological variables. Daily variation of hydrological and meteorological variables, along with vegetation indicators were used as inputs to train data-driven models, using polynomial regression (PR) and Random Forest (RF), to forecast daily FoS values. The trained models proved to be effective and were employed to forecast slope stability for the rolling three days. To accurately forecast the FoS, it was essential to incorporate forecasted hydrological, meteorological and vegetation variables into the analysis. The hydrological variables used as inputs for the data-driven models are forecasted using an open-source Python package for the analysis of hydrogeological time series, called Pastas (Collenteur et al., 2019). This model uses historical and forecasted meteorological and vegetation conditions to, specifically, replicate and forecast the time series of volumetric water content (VWC) and pore water pressure (PWP). The forecasted hydrological variables from Pastas, the forecasted meteorological variables as well as Leaf Area Index (LAI) are used as inputs for the trained data-driven models to forecast the FoS values.Finally, a web-based platform (WBP) has been created that automatically runs once a day and perform the following actions: 1) fetches measured and forecasted data using APIs, 2) runs rolling three days forecast based on collected hydrological, meteorological and vegetation variables, and 3) sends the forecasted values back to the Norwegian Geotechnical Institute (NGI) data platform, NGI Live, making them available for real-time visualization in online dashboards. If FoS, VWC or PWP threshold values are exceeded, text messages and emails are sent to the system managers, enabling them to take appropriate actions. The successful implementation of this framework is the result of a collaborative effort across diverse expertise areas, including geotechnics, hydrology, meteorology, instrumentation, and informatics.

Merchants of Light and Lamps: John Evelyn’s Transition from Descriptive to Experimental Natural History

Abstract This paper discusses the methodological relation between natural history and natural philosophy in the case of John Evelyn (1620–1706). I propose to examine Evelyn’s tree cultivation projects and to identify relevant aspects of his attempt to move from descriptive natural history to experimental natural history. My central argument is that Evelyn’s intention in this endeavour was to develop a series of experimental natural history projects that could provide general laws and axioms of nature as foundations for natural philosophy. I suggest that, considering Bacon’s methodological recommendations regarding the relation between natural history and natural philosophy, Evelyn evolved from one “Baconian” role to another. While in the 1650s Evelyn acted as a “merchant of light,” as he devoted his interest to writing natural history projects based on collecting data and commonplacing different sources, in the 1660s he moved to an advanced role, that of a “compiler” or a “lamp,” in which he composed projects of experimental natural history. In Evelyn’s view, the latter kind of natural history would serve as a methodological step in building a natural philosophy.

Women as decision‐makers in the Australian wine industry, 1960s–1990s

AbstractIn the early 2000s international business scholar Ann Matasar declared of the rapidly globalising grape wine sector that no other industry had ‘so resolutely excluded women from positions of influence for so long.’ Following Florine Livat and Clara Jaffré that women on the supply side of wine remain understudied, this article draws upon a large‐scale oral history project (Treading Out the Vintage 2000–2003) to make visible women as industry decision‐makers between the 1960s and 1990s. This qualitative data set nuances Matasar's findings about the relatively limited opportunities for women to exert industry influence in a historically male domain. With family farming as the main entry point to the Australian industry, few women became decision‐makers in this era, compared with women in urban sectors of the economy that benefited from gains in gender equality. Women who attained industry influence demonstrated enthusiasm and resilience while experiencing sexism and, often, balancing reproductive and domestic labour with agricultural business.

Enhancing IT Project Portfolio Management Through Dynamic Dashboard Visualization and Integrated Chatbot and Mathematical ML Model for Strategic Decision Making

This project paper presents an innovative approach to enhance IT Project Portfolio Management (IT PPM) using dynamic dashboard visualization and machine learning (ML) techniques. Effective IT PPM is essential for organizations to align IT projects with business objectives and optimize resource allocation. However, conventional methods often lack innovation and real-time visibility, leading to suboptimal decision-making and costly software investments. The objective of this project is to develop a dynamic dashboard visualization system integrated with a machine learning model derived from the Meta-Portfolio Method (MPM). The MPM leverages advanced analytics and historical project data to dynamically allocate resources and prioritize projects based on risk-return profiles. By incorporating the MPM into the dashboard, organizations gain real-time insights into project status, progress, and resource allocation, enabling informed decision-making and proactive portfolio optimization. The ML model derived from the MPM analyzes historical project data, including success rates, resource intensity, criticality, regulatory compliance, and portfolio diversification, to predict optimal project selection and resource allocation. By dynamically adapting to changing market conditions and project dynamics, the ML model facilitates strategic decision-making and enhances portfolio performance. Through the integration of dynamic dashboard visualization and ML-driven decision support, organizations can streamline IT PPM processes, improve project outcomes, and achieve strategic objectives effectively and efficiently. This innovative approach empowers organizations to navigate the complexities of IT project portfolios with agility, foresight, and confidence.

Трехмерное моделирование городов: исторические реконструкции и альтернативная реальность

The paper considers the technology of creating 3D models of cities, photogrammetric and other ways of their construction. The author shows projects created on the basis of this technology - 3D models of Yaroslavl, Moscow and St. Petersburg. The paper also describes the essence and results of the research performed on the basis of the constructed three-dimensional urban planning models. The paper presents historical recreation projects of cities for different time periods: Yaroslavl at the beginning of the XX century and Moscow at the XIX-beginning of the XX century. The author presents a list of monuments lost in reality, but recreated in a virtual three-dimensional environment and inscribed in the 3D model of the city. The paper presents a project involving the modelling of unrealised projects of avant-garde architects, as well as projects of the 1930s-1970s on the basis of a Moscow 3D model. The author concludes about the growing popularity of such digital models and the penetration of augmented and virtual reality technologies into our daily life.

When Grief Arrives: An oral history of grief and death within queer, trans and Black, Indigenous and people of colour communities

When Grief Arrives is a narrative therapy and oral history project aimed at re-storying narratives of grief and loss within queer, trans and Black, Indigenous and people of colour communities. The project documents multi-storied accounts of grief that resist the individualisation and isolation of grieving that is common under settler colonialism and capitalism. By honouring overlooked landscapes of experience, the project seeks to generate solidarity and interconnection through shared knowledges. This article discusses the project’s methodology, ethical considerations, and the transformative potential of collective storytelling in fostering solidarity and healing within marginalised communities.

‘The Store’ Oral History Project

ABSTRACT The Store Oral History Project is a collection of 20 oral histories gathered from members of the Newcastle community in 2019, sharing their thoughts and memories of the Newcastle and Suburban Co-operative Society Ltd, known locally as ‘The Store’. The project builds on existing knowledge about ‘The Store’ that was the biggest and most successful co-operative society in Australia, established in 1898. In 1974, at its peak it operated 15 other retail branches and had 98,000 members and employed 1450 workers. 1 It provided grocery, retail goods, services including a health fund, funeral fund, travel agency. Eventually, increased shopper mobility and competition from suburban shopping centres saw ‘The Store’ close in 1981 after 83 years of service. Closure left a lasting impact upon the community and in the wake of the demolition and renewal of the former Hunter Street site, this project commemorates and celebrates The Store's legacy. This article discusses how the project provided a unique opportunity for a university Library to collaborate with industry partners, the community, employed students and provided Work Integrated learning students’ opportunities to build GLAM sector knowledge and skills. Twenty oral histories are publicly available on Livinghistories@UON. 2 These amplified voices of ‘The Store’ add meaning to existing narratives, as well as the University’s archival holdings of this old Newcastle icon. In 2019, the University of Newcastle (Australia) Auchmuty library embarked on a new project aimed to record stories associated with The Newcastle and Suburban Co-operative Society Ltd, known locally as ‘The Store’, established in Newcastle West, in 1898. The main store building opened in Hunter Street Newcastle, New South Wales, in 1906.

UAV, GNSS, Total Station, and Data Management Applied to an Ancient Clay Structure as a Historic Building Information Modeling Proposal: A Case Study of Huaca Arco Iris (Trujillo, Peru)

In light of current risks and environmental impacts, HBIM (historic building information modeling) offers a highly efficient and interactive method for managing historical data and representing the current states of ancient clay structures. In this study, traditional geodetic techniques were employed to digitally locate a structure without compromising its topographic information to create an accurate model. Tools such as total stations, GNSS receivers, and UAVs were utilized to generate detailed topography of the study site and its surroundings. An ontology-based data management structure was also developed to store historical data and site intervention projects, adhering to the ISO 12006-2 standard. This was achieved through automated scripts in Dynamo softwarev.2.18.1. A comparison between the point cloud (279 images) and total station data (600 points) revealed a georeferencing accuracy difference of +/−0.003 m. Consequently, the developed methods can effectively represent similar structures digitally. The proposed ontological structure facilitates automated storage of internal and external information.

Study on modification of natural hydraulic lime historical building repair mortar

Qingdao boasts a wealth of historical buildings, yet they have sustained varying degrees of damage due to environmental erosion over decades. Traditional cement-based repair materials can exacerbate the damage to these structures and often fall short of the stringent requirements for historical building restoration projects. Natural Hydraulic Lime (NHL) offers excellent compatibility and breathability, making it suitable for restorative work on historical buildings. However, its low early strength and durability pose limitations in Qingdao's complex environment. Consequently, this study investigates the enhancement of NHL mortar using Ground Granulated Blast Furnace Slag (GGBFS/BFS) powder. Nine mix formulations were developed to investigate the impact of varying BFS contents on the physical properties and microstructure of the repair mortar. The results indicate that, compared to the reference sample, the modified mortar exhibits reduced water requirement for normal consistency, shorter setting time, lower water absorption, and decreased shrinkage. Regarding mechanical properties, the incorporation of BFS significantly enhances the mechanical strength of the repair mortar. When the proportion of BFS is 60 %, the flexural and compressive strength of the mortar samples increase by 304 % and 611 % at 28 days, respectively. Upon incorporating BFS, a pozzolanic reaction occurs in the alkaline environment, leading to the formation of calcium silicate hydrate (C-S-H) gel. This gel fills the pores within the mortar, enhancing the densification of the system, which in turn improves the mechanical properties and microstructure of the repair mortar. SEM analysis corroborates these findings. XRD analysis confirms that BFS does not introduce harmful substances.

A history of restorative justice in Scotland: The evolving nature of an innovation in criminal justice policy and practice

AbstractHigh‐level political support for restorative justice in Scotland is at its strongest for many years, and yet its availability is lower now than in the mid‐2000s. To explore the reasons behind this paradox, we undertook an oral history project focused on the origins and development of restorative justice in Scotland. Based on 15 interviews with professionals, we tracked how the nature, objectives and scale of restorative justice has evolved in Scotland over time. Our analysis shows how the meaning and purpose of justice initiatives can shift, providing insight into policy development and broader debates about the role of justice responses.

Windrush Members’ Encounters with the ‘Hostile Environment’ and a Deficit of Citizenship: Centring an Agentive Citizenship Experience

This article is part of a broader, collaborative Oral History project working with members of the Windrush community to explore their experience of the ‘Hostile Environment’ and their own reckoning with a historical injustice, beginning pre-2012. This article focuses on the experience of three Windrush members and their encounters with the ‘Hostile Environment’ regime from 2012 onwards, particularly the actualisation of their exclusion from British citizenship as a denial of access to ‘everyday’ citizenship. Citizenship is interpreted from a grassroots level, through the individual’s lens on how their life was uprooted in terms of their livelihood, security, wellbeing and social connection through encounters with the ‘Hostile Environment’ regime. During the data gathering process, a shared understanding of the activist nature of this research was established, creating a space within which participants were asked to reflect on and critique the state’s bordering of British citizenship and the participants’ identification as illegal within this. This article defends an agentive interpretation of citizenship as an experience that is holistically felt and made meaningful, consciously negotiated within state-imposed structures of law, enforcement and entitlement access, and then wielded as a subjectivity whereby individuals claim a more dignified existence. For members of the Windrush Generation who were left de facto stateless due to a lack of sufficient legal identification in the eyes of the state, their deficit of citizenship experience from the margins of British citizenship leaves them well positioned to critique and challenge the entrenched form of citizenship expressed through the ‘Hostile Environment’ regime.This article is part of a broader, collaborative Oral History project working with members of the Windrush community to explore their experience of the ‘Hostile Environment’ and their own reckoning with a historical injustice, beginning pre-2012.

Historical characteristics and projection of global renewable energy consumption

Although renewable energy consumption (REC) is increasingly crucial for addressing climate change and existing literature focused on REC from various perspectives, the historical characteristics (i.e., convergence, inequality and driver) and prospective trajectory of REC are not well assessed especially at global scale, hindering the policy implications towards sustainable development. Therefore, the study presented an in-depth investigation on the historical characteristics above and projection of REC covering 39 countries over 1990–2020 using log t convergence model, Gini coefficient decomposition model, generalized Divisia index model and machine learning forecasting models, respectively. The results indicated that, first, historical tendency of global REC was recognized with two convergence clubs and divergent countries (the USA and China). Second, Gini coefficient of global REC is increasing where regional rank is the primary driver especially from the intra-inequality of non-OECD countries. Third, GDP seems to be the predominant drivers of the global REC, especially for most non-OECD countries. Forth, countries will make advancements in REC in the coming decades, with enduring trends. Consequently, collaborative efforts and concerted actions among nations in REC development are deemed essential to foster a more sustainable and equitable REC development pattern, contributing to the realization of sustainable development goals.

A Comprehensive Accounting of Construction Materials in Belt and Road Initiative Projects.

The Belt and Road Initiative (BRI) stands as the most ambitious infrastructure project in history, marked by its scale of investment, extensive geographical reach across continents and countries, and a diverse array of projects from roads to digital networks. While the BRI's environmental sustainability has raised concerns, the impacts of construction materials used in these projects have been overlooked, especially in developing countries. Here, we map and account for the materials embodied in the BRI by integrating, for the first time, official governmental project reports, geographical information, and material flow analysis. We pinpoint and analyze the BRI material stocks in each individual project by material types, countries, regions, and sectors. Between 2008 and 2023, 328 million tons of construction materials have accumulated in 540 BRI projects around the world, mostly in Asia and Africa. Aggregates (sand and gravel) constitute the largest share (82%), followed by cement, steel, and other materials. Most of the materials are used in transportation infrastructure. Our work further highlights some limitations in terms of data quality for such sustainability assessments. By shedding light on the significant impact of BRI projects on raw material usage across the globe, this study sets the stage for further investigations into environmental impacts of BRI and material stock-flow-nexus from perspective of an initiative.

Exploring the relationship between vulnerability and adaptation of rural households: disaster resettlement experience from rural China

In the face of environmental deterioration and to improve human welfare, China’s Shaanxi provincial government has launched one of the largest disaster shelter and resettlement projects in history. In assessing the likely success of this project, it is important to measure the vulnerability and adaptation of rural households in areas where the population experiences ecological and livelihood vulnerability. Based on 657 rural questionnaires collected in southern Shaanxi relocation zones, this study explores four categories of relationship between vulnerability and adaptation based on two aspects of livelihood resilience, namely specific resilience and general resilience. A multinomial logistic regression model is employed to investigate the influence of disaster resettlement on these categories. The analysis finds that: (1) there is a connection between these categories and household livelihood strategies, and rural households are more likely to adopt non-agricultural strategy or livelihood diversification strategy; (2) the livelihood resilience of relocated households is significantly higher than that of non-relocated household, with specific resilience being the main reason for the difference; (3) participation in disaster resettlement, centralized resettlement, and high relocation subsidies are not conducive to belonging in the “low vulnerability–high adaptation” category, while voluntary relocation is conducive to being in this category. These results have significant ramifications for China and other developing national disaster resettlement programs. It is critical for resettled households to reduce livelihood vulnerability and improve adaptive capacity.

From expansion to efficiency: Machine learning-based forecasting of Japan's building material stocks under demographic declines

Japan's unique demographic trajectory, marked by population decline and aging, coupled with continued urbanization, presents distinct challenges for aligning built environment capacity with resource efficiency. This study aims to investigate the historical evolution and project future scenarios of building material stock (MS) and their spatial distribution across Japan's three major metropolitan areas. Through a comprehensive material flow and stock analysis, the historical accumulation of building materials from 2009 to 2020 was quantified, revealing a dominance of concrete and an increasing overall stock. The contributions of various driving factors to changes in construction areas were explored, identifying population dynamics as the predominant influence. Leveraging shared socioeconomic pathway scenarios (SSPs), this research forecasted building floor area and MS until 2050 under five distinct SSPs. The results indicated an overall reduction across all scenarios, yet with a continued concentration in high-density urban cores. The substantial gap between the highest and lowest projected MS scenarios highlighted opportunities for material conservation and emission reductions through sustainable practices. Sustainable urban development in densely populated regions necessitates a balance between infrastructure provision and environmental conservation, while in sparsely populated areas, the focus shifts to the efficient management and utilization of vacant properties and materials to cope with the impacts of significant population declines. By offering insights into the building floor area and MS implications of Japan's demographic changes, this study underscores the necessity of sustainable urban planning and resource management strategies to navigate the challenges posed by demographic shifts, ultimately contributing to sustainable development and environmental conservation goals.

‘Taking time’: Using Archaeology to Develop Policies Around the Mental and Physical Health of Older People in Custody

ABSTRACT PAMHOP (The Physical And Mental Health of Older Prisoners) is an inter- and transdisciplinary project funded by the UK’s National Institute for Health and Care Research (NIHR). The project has two principal aims: to better understand the physical and common mental health needs of older people within the criminal justice system; and to assess the implementation of some novel tailored interventions that might benefit this community and shape policy, thus reducing costs for the UK’s National Health Service (NHS). One intervention was a historic environment project that involved map-based landscape regression, and historic building recording work. This paper describes this intervention and assesses its impacts, including those related to policy.