The fusion of Building Information Modeling (BIM) and Artificial Intelligence (AI) through quantum computing is an emerging field set to transform the architecture, engineering, and construction (AEC) industry. BIM provides a detailed digital representation of buildings, enhancing collaboration and reducing errors, while AI enables advanced data analysis and decision-making. Together, they optimize design processes, project management, and real-time monitoring, boosting efficiency. Quantum computing amplifies this synergy by enabling faster simulations and complex modeling, improving design visualization and performance assessments. However, challenges such as data privacy, cybersecurity, job displacement due to automation, and ethical concerns regarding AI biases must be addressed. Looking ahead, this integration is expected to drive innovation in energy performance analysis, construction safety, and structural health monitoring, promoting more sustainable and efficient practices. Collaboration among tech firms, academia, and industry will be crucial to realizing this transformative potential.

Digital twins and Building Information Modeling (BIM) are transformative technologies reshaping the smart management of public buildings post-occupancy. A virtual representation of a physical asset that utilizes real-time data to monitor performance, while BIM involves the generation and management of digital models throughout a building's lifecycle. The integration of these technologies allows for enhanced operational efficiency, predictive maintenance, and improved decision-making, ultimately driving sustainability initiatives and tenant satisfaction in public infrastructure. The emergence of digital twins, rooted in advancements such as the Internet of Things (IoT), artificial intelligence (AI), and big data analytics, marks a significant evolution in building management. This shift, which began in the early 2000s, enables the continuous updating of digital models based on live data, bridging the gap between physical structures and their digital counterparts. Research initiatives have highlighted the potential of these technologies to create predictive models that enhance operational strategies and support comprehensive building performance analysis. The synergy between digital twins and BIM offers significant benefits for the management of public buildings, paving the way for smarter, more efficient environments. However, overcoming the existing challenges is crucial for realizing the full potential of these innovations in enhancing facility management, energy efficiency, and occupant safety.

This paper explores the strategic integration of the Building Information Modeling (BIM) methodology with the principles of Lean Construction, an approach derived from Lean Production that seeks to maximize value and minimize waste in construction projects. This fusion represents a significant advance for the AEC (Architecture, Engineering, and Construction) industry, combining the digital capabilities of BIM such as 3D modeling, common data environments (CDE), and early clash detection with Lean practices such as Just-In-Time (JIT), Pull Planning, and Continuous Improvement (Kaizen). The synergy between the two methodologies allows for the optimization of key processes: BIM facilitates collaborative visualization and planning, while Lean Construction eliminates inefficiencies by reducing waste (identified under the acronym TIM WOODS) and standardizing workflows. Tools such as the Last Planner System (LPS) and Takt Time Planning, when integrated with BIM platforms (e.g., Autodesk Revit and Navisworks), improve project predictability and reduce costs and timelines. Cited studies show that projects with this integration achieve up to 45% on time deliveries and cost savings of 20-30%. However, implementation faces challenges, such as resistance to change in traditional organizational cultures, high initial costs of technology adoption, and a lack of trained personnel in both disciplines. Furthermore, the document highlights the need to standardize protocols and delve deeper into return on investment (ROI) metrics to consolidate adoption. As a future trend, Autonomous Lean Construction stands out, where artificial intelligence (AI) and IoT will automate project management, along with the use of 4D/5D BIM to integrate time and cost variables. The document concludes by emphasizing the importance of applied research, interdisciplinary training, and open collaboration between academia and industry to scale these benefits. In essence, BIM-Lean Construction integration is not just a tool, but a paradigm shift toward more efficient, sustainable, and value-driven construction, supported by data and cross functional collaboration. Its success will depend on overcoming technical and cultural barriers, but its potential to transform the industry is undeniable.

The coexistence of analogue drawing, digital software rendering and image generation using artificial intelligence (AI) has intensified a disciplinary debate on which mode of representation is most relevant in each phase of the project process, without there being a systematic comparative framework that integrates its technical, pedagogical and ethical dimensions, particularly in Latin American architectural training contexts. The objective is to comparatively analyze the strengths, limitations, and implications of analog drawing, digital rendering, and AI generation in architectural presentation, in order to identify hybridization patterns and gaps in educational policy. A qualitative documentary analysis of narrative-thematic scope was developed, informed by the PRISMA guidelines, on sources indexed in Scopus, Web of Science, ScienceDirect and Latin American regional databases, mostly published between 2021 and 2026, processed through thematic and categorical coding with triangulation of sources. A five-phase periodization was identified in the evolution of architectural representation; the comparative advantage of each mode is concentrated at different points in the design process (analogue drawing in conceptual ideation, digital rendering in technical documentation, and generative AI in rapid exploration and communication with non-specialist audiences); Likewise, unresolved gaps persist in terms of authorship, intellectual property and displacement of project competencies. Therefore, a triangular synthesis model between the three modes of representation and a set of curricular recommendations aimed at hybrid literacy and the ethical governance of generative AI in architecture programs is proposed, which constitutes a contribution to the formulation of educational policies in the region.

Geothermal energy, with a global installed capacity of 16.7 GW by 2023 and an annual generation of more than 97 TWh, is consolidating its position as a key pillar in the energy transition. From the pioneering Lardarello plant (1913) to The Geysers complex in California—the largest in the world with 1.5 GW of capacity—this energy source has demonstrated its potential to supply baseload electricity 24 hours a day, with a carbon footprint up to 10 times lower than fossil fuels. The article explores how the architectural design of these plants integrates geological, environmental, and technological factors. Systems such as binary cycles—which operate at 90°C and reduce emissions by 95%—allow the exploitation of low-temperature resources, expanding their applicability to non-volcanic regions. However, challenges remain: reservoir exploration is 30-40% uncertain, and initial costs exceed $4,500 per installed kW, according to the U.S. Department of Energy. Iconic cases like The Geysers illustrate innovative solutions. Since 2003, its recharge project with treated wastewater (11 million gallons/day) has revitalized the reservoir, extending its lifespan by decades. This circular economy approach not only optimizes resources but also reduces water conflicts in arid areas. The future points to disruptive designs: Enhanced Geothermal Systems (EGS), which could increase global potential tenfold by enabling dry reservoirs, and urban heating districts with heat pumps, capable of providing heating at -20°C. By 2030, drilling innovations—such as smart drill bits and robotics—could reduce costs by 50%, accelerating adoption. In a world that needs to double clean energy by 2040, geothermal energy is emerging not only as a renewable source, but as an architectural canvas where engineering and sustainability converge to redefine the energy landscape. Its evolution will depend on creatively overcoming technical barriers, transforming the Earth's heat into the cornerstone of a decarbonized era.

The office building sector concentrates a significant proportion of urban energy consumption and carbon emissions, while simultaneously facing the organizational reconfiguration driven by the COVID-19 pandemic and the growing demand for occupant well-being. The objective of this study was to comprehensively analyze design principles, environmental, economic and social impacts, certification frameworks and barriers to implementing sustainable architecture in office spaces. A qualitative approach of documentary review was adopted, inspired by the PRISMA-ScR protocol, through categorical thematic analysis of 63 sources indexed in Scopus and ScienceDirect, selected from an initial corpus of 152 records after the application of inclusion and exclusion criteria. The findings show that the integration of passive strategies, indoor vegetation and smart technologies (BIM, IoT, artificial intelligence) reduces operational energy consumption between 15% and 70%, while the life cycle assessment allows for a reduction of up to 50% in environmental impacts through recycled materials and envelope insulation. Certified buildings report productivity increases of between 2.5% and 26%, cognitive performance improvements of up to 61% and rent and market value premiums of between 10% and 12% in Europe and the United States, although in emerging economies adoption faces cost overruns of between 5% and 21% with payback periods of less than four years. Relevant gaps persist in the integration of social criteria within certification systems (DGNB, LEED, BREEAM) and financial, organizational and technical training barriers that limit the adoption of BIM and sustainable materials, particularly in Latin American contexts. It is concluded that the sustainability of contemporary offices requires a holistic framework that articulates technology, public policy and organizational culture, with direct implications for curricular updating in architecture and construction management programs.