"The limits of our design language are the limits of our design thinking". Patrik Schumacher's statement subtly hints at a shift occurring in the built environment, moving beyond technological integration to embrace intelligence in the spaces and cities we occupy. The future proposes a possibility of buildings serving functions beyond housing human activity to actively participate in shaping urban life.
As artificial intelligence (AI) becomes increasingly embedded in society, it's essential to pause and reflect on the foundations that sustain it—and the dimensions to which it extends. At the heart of AI's learning are datasets, whose structure and content shape how these systems interpret and respond to the world. This reliance creates a deep interdependence—one that not only informs AI's capabilities but also defines its potential blind spots. In light of this, we must ask: What forms of understanding might this process exclude, especially those not easily captured in digital form?
As architecture navigates a rapidly changing world shaped by ecological urgency, social transformation, and technological acceleration, the notion of intelligence is shifting. No longer confined to individual cognition or artificial computation, intelligence can emerge from cultural memory, collective practices, and adaptive systems. In this broader sense, architecture becomes a field of convergence, where natural, artificial, and social intelligences intersect to offer new ways of designing and building.
Vernacular traditions embed generations of environmental knowledge, often transmitted through materials, construction techniques, and spatial logics finely tuned to local conditions; participatory platforms expand decision-making to wider communities to take part in shaping their environments, redistributing agency in the design process; and computational processes simulate and respond to complex data in real time bringing the capacity to analyse, simulate, and respond to complex variables — whether environmental, social, or behavioural — offering new forms of adaptability.
Named one of ArchDaily's Best New Practices in 2024, MEAN* (Middle East Architecture Network) is redefining the architectural landscape of the region by merging computational design, digital fabrication, and material research with local heritage. Founded in 2016, the studio takes a forward-thinking approach, developing site-specific architectural solutions that balance technological innovation with cultural continuity. Their work spans projects of various scales, from experimental furniture like the Mawj Chair to urban-scale interventions such as The Adaptive Majlis, a digitally fabricated reinterpretation of traditional cooling and social spaces. By integrating advanced tools like parametric design, AI, and 3D printing with local materials, MEAN* is crafting a new architectural language that reflects both the aspirations of the future and the depth of the past.
Modernism, a movement that sought to break away from traditional forms and embrace the future, laid the groundwork for many technological and digital advancements in contemporary architecture. As the Industrial Revolution brought about mass production, new materials, and technological innovation, architects like Le Corbusier, Walter Gropius, and Mies van der Rohe championed the ethos of "form follows function" and a rational approach to design. Their principles resonate in the digital age, where computational design and high-tech materials redefine form and construction.
The 20th century's modernist ideals — efficiency, simplicity, and functionality — created a foundation for architects to experiment with structural clarity and material honesty. High-tech architecture, which emerged in the late 20th century, evolved from these principles, merging modernism's clean lines with advanced engineering and technology. This paved the way for parametricism and algorithm-driven design processes, revolutionizing architecture and enabling complex forms previously thought impossible.
In 1993 a young professional couple with two toddlers and a large suburban lot in Naarden, a town less than half an hour's drive southeast of Amsterdam, approached Ben van Berkel to design an unusual house. They envisioned it as progressive and innovative in every way possible. More than that, they wanted a kind of building that "would be recognized as a reference in terms of renewal of the architectural language." Before settling on the architect, they spoke to several candidates, including Rem Koolhaas. They chose van Berkel who five years earlier, together with his then-wife Caroline Bos co-founded their eponymous practice, because as he told me, "I went to the site and studied it carefully and already had ideas about what I called the four quadrants of the landscape. I knew what kind of house it would be. I could see clearly where different rooms would go, how they would be shaped, and how they would relate to each other." The couple couldn't resist. Yet, there would be no rush on the project which took five years to complete, most time was invested in its design, going through many iterations and refinements, all based on the Möbius loop.
India's global identity has developed alongside its aspirations for a unique architectural future. Over time, the country's architectural landscape has evolved from vernacular traditions to foreign influences, from post-colonial revivals to modern digital expressions. Computational design has played an influential role in shaping contemporary styles, empowering homegrown architectural firms to experiment with form and structure.
Construction has just begun on the Tor Alva, or the White Tower, the world’s largest 3-D printed tower. Designed by architects Michael Hansmeyer and Benjamin Dillenburger and printed with concrete by the technology university ETH Zurich, 8 out of 32 structural columns have been completed. Nestled in the village of Mulegns in the Swiss Alps, the White Tower is designed as a venue for music and theater events. Standing at 30 meters, the design features 32 distinct Y-shaped columns, each boasting a pattern of textured details.
Timber has been a popular source of construction material for thousands of years. Through sawing, milling, and other engineered wood conversion processes, various wood forms have been created and applied in products, furniture, and architecture. However, these processes can sometimes alter the basic lines of wood structure. The stems can be split, grain patterns changed, and some woods, such as oak and cedar, are easily reduced while others can become intractable. This led to the exploration of whole timber forms in ancient structures, such as log cabins, which layered timber in different cross-sections to form home profiles. Through design, the use of trunks or branches of trees in their entirety can accentuate their innate mechanical properties for structural sustainability. Although these practices are fairly absent in contemporary building techniques, new technological innovations expand the prospects of timber construction in architecture.
Professionals in the AEC industry are well aware of the issues that grapple the built environment. That the construction industry is the largest consumer of materials and is responsible for 40% of all carbon emissions is a commonplace fact. Construction work is also a large waste generator and could greatly benefit from circular design principles. Almost three-quarters of all construction projects tend to be over budget, and nearly half of the spending on buildings goes into the overheads. In a fast-paced world with multi-faceted challenges, technology, and digitization seek to deliver significant solutions.
Technology is disrupting the creative industry and it's only getting better, and faster. Innovation in the architecture industry has never been as rampant as it is at this moment. The advent of artificial intelligence (AI) in architecture - the first genuine 21st-century design method - is changing the way buildings are imagined and designed. AI image generators like Midjourney and DALL-E provide an efficient and explorative way of conceiving architectural concepts. Generated in less than 5 minutes, these images unveil an interesting design aesthetic that is emerging. In an exclusive interview with ArchDaily, architect and educator Matias del Campo hypothesizes what the future of architectural aesthetics would be.
Nature has continually played muse to architects. Colors and forms from the natural world find themselves embedded in artificial edifices. Buildings are also shaped by patterns of the wind and sun, topography, and vegetation. While architecture is informed by the effects of nature, buildings have been proposed as inert objects that remain static in a biologically evolving world. Anthropocentric concrete “jungles” are devoid of life, separating humans from natural environments and causing imbalances that have manifested as pandemics. What would cities look like if there were no boundaries between humans and ecosystems?
The Advanced Master[1] “Design by Data” in Computation Design & Robotics for Architecture and Construction was launched in 2016 and is one of the latest programs in innovative professional education at l'École des Ponts ParisTech. The program was designed to meet the increasing need of the professional sectors of architecture and engineering for combining architectural awareness and skills in creative engineering. Design by Data trains professionals to master advanced design tools (coding, generative design, machine learning) as well as digital manufacturing and design processes (robotics, 3D printing, and mechatronics) applied to architectural and construction projects.
Clayton Miller is an Assistant Professor at NUS, part of BUDS Lab, a scientific research group that leverages data sources from built and urban environments to improve energy efficiency and conservation, comfort, safety, and satisfaction of humans. He holds a Doctor of Sciences from the ETH Zürich, an MSc. (Building) from the National University of Singapore (NUS), and a BSc. Masters of Architectural Engineering (MAE) from the University of Nebraska - Lincoln (UNL).
ArchDaily had the chance to interview Miller and find out his point of view on how programming and data science can help in improving architecture and construction.
In a study recently published by AIA, less than 13% of architectural firms have incorporated building performance as part of their practice. With buildings contributing 40% of total carbon emissions leading to climate change, just 25 projects are roughly equivalent to planting 1 million trees each year. In addition to that, teams that are able to showcase data-driven and performance-driven decision-making and feature an energy analysis in every pursuit are able to increase fees and generate more revenue. Although integrating building performance sounds like a no-brainer, it proves to be difficult at many firms, because in addition to the practical changes, it requires a culture shift. That culture shift can only happen if the tools are easy to use, accurate, and mesh well with current workflows. Right now is the perfect time to tackle these culture changes due to a few reasons:
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