Discover Leningrad: between socialist classicism and modernity

Building design
a-pair-of-buildings-lying-next-to-each-other-8z-hWLVp4vk

Architectural photography of two adjacent buildings in St. Petersburg, taken by flickch.

Leningrad – now St. Petersburg – is an architectural chameleon between eras. Anyone who only thinks of baroque splendor or tsarist palaces is missing out on one of the most exciting urban transformations of the 20th century. Between socialist classicism and radical modernism, the city has developed an architectural heritage that is as contradictory as it is visionary. Time to take a closer look: What remains, what disappears, and what does Leningrad teach us about the future of architecture?

  • Analysis of Leningrad’s architectural development between 1930 and 1970: from Stalinism to post-war modernism
  • Comparison: How do classicism and modernism still shape the cityscape today?
  • Digital innovations and their role in the preservation and research of architectural heritage
  • Sustainability issues: from the reconstruction of historic buildings to the conversion of large-scale socialist projects
  • Technical know-how: What do you need to research and plan Leningrad’s buildings?
  • Controversial debates about monument protection, gentrification and the legacy of socialism
  • Classification in a global context: Leningrad as a reference for post-socialist urban development
  • Visions for the future: Can Leningrad serve as a laboratory for sustainable transformation?

Architecture as an instrument of power: Leningrad’s socialist classicism

Anyone who immerses themselves in the streets of Leningrad encounters a backdrop that offers more than just decorative facades. Here, power is literally staged in stone. In the 1930s and 1940s, socialist classicism became the architectural model of the Soviet Union – and Leningrad became a veritable field of experimentation. Huge avenues, triumphant squares, monumental apartment blocks with colonnades and reliefs: the aesthetics were based on antiquity, but sought to heroically glorify the new collective. While the official narrative spoke of progress and community, the residents were forced into standardized floor plans. The famous Stalin buildings along Moskovsky Prospekt or on Kirov Square are stone witnesses to this era. Their effect was and is ambivalent: intimidation and identity creation, monumentality and everyday life, representation and control. For many, living in the “luxury” of the new blocks was a step forward compared to the tsarist tenements – others found the uniformity oppressive and dehumanizing. Today, these buildings are listed, but the debate about how much pathos and political heritage should be preserved is anything but over.

Socialist classicism was also a technical tightrope walk: while ostentatious façades dominated on the outside, standardized construction methods and a shortage of materials were often concealed behind them. The gap between aspiration and reality was wide – as with many large-scale projects of the time. For architects, this meant: creativity within the corset of ideology, innovation under conditions of permanent scarcity of resources. The city of Leningrad thus became a symbol of an architecture that was as modern as it was backward-looking. Today’s research is intensively concerned with how these buildings can be preserved, energetically renovated or cleverly reused. This is no trivial task, as the requirements of sustainability and monument protection are often at odds with each other. Planners who venture into this field not only need historical sensitivity, but also in-depth technical knowledge – from material science to digital measurement techniques. Dealing with the socialist legacy remains a challenge for the entire industry.

In Germany, Austria and Switzerland, Leningrad is often viewed with a mixture of fascination and skepticism. While socialist classicism has left few traces in this country – apart from East Berlin – the debate about conversion, demolition or preservation is being closely observed. The question of how to deal with the architectural legacy of authoritarian systems is highly topical: it not only concerns aesthetics, but also touches on the socio-political dimension of urban development. International experts are therefore calling for a differentiated, scientifically sound approach that goes beyond ideological trench warfare. It is precisely here that a look at Leningrad can open up new perspectives – as a warning example, but also as a source of inspiration for an architecture that moves between adaptation and resistance.

However, socialist classicism is no longer just an object of research for historians. Today, digital technologies enable a completely new approach to these buildings: With 3D scans, building information modeling and AI-supported analyses, architects and monument conservators can precisely record the substance, simulate damage patterns and develop sustainable renovation concepts. This opens up opportunities, but also new areas of conflict: Who decides which parts are digitally conserved? How can authenticity be preserved in the age of simulation? This is where technical knowledge, aesthetic demands and social expectations collide head-on.

In the end, socialist classicism in Leningrad remains a quarry for architectural debates. It is a projection surface for nostalgia and criticism, for utopia and dystopia at the same time. The question of how to further develop this legacy remains open – and will occupy the city for a long time to come. For architects working at the interface of history, technology and society, Leningrad is a unique laboratory. Those who find solutions here can also transfer them to other post-socialist contexts.

Radical modernism: Leningrad’s second architectural revolution

No sooner had socialist classicism been established than a new era dawned in Leningrad – that of radical post-war modernism. The 1950s and 1960s brought a paradigm shift that still characterizes the cityscape today. While Stalinism transformed the city into monumental backdrops, modernism focused on functionality, standardization and industrial construction. Prefabricated buildings instead of palaces, grids instead of relief. The housing estates in the south and east of Leningrad grew explosively, millions of people moved into the new microrajons. For many, this is a quantum leap: central heating, running water, green spaces between the houses – what has long been standard in Western Europe becomes a symbol of progress and social justice here.

But the price is high. Radical modernity not only brings new forms of housing, but also an unprecedented banalization of urban space. Individuality gives way to the norm, diversity to mass production. Anyone strolling through the prefabricated housing estates of Kupchino or Prospekt Veteranov today will experience architecture that may be efficient and robust, but bears little relation to the traditional urban structure. The large housing estates of Leningrad are a symbol of the dilemma of modernity: they are functional, but often anonymous; they provide mass housing, but no neighborhood. The debate on how to revitalize these areas, mix them socially and improve their energy efficiency is more topical than ever. In Germany, Austria and Switzerland, similar questions are being asked – from Berlin-Marzahn to Vienna-Floridsdorf. Dealing with post-war modernism is becoming an international test case for innovative urban development.

From a technical point of view, modernism in Leningrad was a masterpiece of rationalization. Prefabrication, modular systems, industrial building materials: What later became synonymous with dreariness as “prefabricated housing” was technologically ultra-modern at the time. Today, these structures face enormous challenges: Energy-efficient refurbishment, infrastructure renewal, adaptation to changing housing needs. Anyone planning here needs to be familiar with building physics, building technology, sustainable materials and digital planning tools. Retrofitting smart building technologies is just as important as dealing sensitively with the social and cultural identity of the neighborhoods. It is not enough to insulate the façade – a holistic strategy that considers ecology, economy and community is required.

Digital transformation is also reaching the microrajons: digital twins, 3D models and data platforms can be used to analyze existing buildings, simulate usage concepts and involve citizens in the processes. In Leningrad in particular, pilot projects are being developed that show how monotonous settlements can be transformed into vibrant neighborhoods. The integration of artificial intelligence into urban planning opens up new possibilities, but also harbors risks. Algorithms are not neutral – they reflect prejudices, reinforce social inequalities or set the wrong priorities. Anyone who wants to shape the digital modern age must face up to this ambivalence.

Criticism of modernity is as old as its buildings themselves. Alexander Mitscherlich spoke of the “inhospitality of cities”, and the inhabitants of “rabbit hutches”. But modernism is not dead – it is reinventing itself. Leningrad could become a model of how to master the challenges of the present with respect for history and the courage to innovate. The debate about demolition, renovation or transformation is also a debate about how architecture sees itself. It will decide whether we repeat the mistakes of the past or finally learn from them.

Digital transformation: Leningrad as a laboratory for the future of construction

The digital revolution does not stop at Leningrad’s historic urban landscapes. Whereas in the past measurements were painstakingly taken and plans drawn by hand, today digital images of the city are created on a scale of 1:1. Urban digital twins, BIM models, sensor-based monitoring systems – all of this is no longer a dream of the future, but part of the everyday life of modern architecture firms and monument conservation teams. Leningrad is becoming a testing ground for trying out new tools that are revolutionizing not only the planning, but also the operation and renovation of historic and modern districts.

The use of digital twins to simulate conversion scenarios, energy flows and climate impacts is particularly exciting. Anyone who wants to know how a refurbishment will affect the microclimate of a Stalin building or how a modern new-build district will merge with the existing urban space can now test this in real time – at least in a model. Digitalization opens up new opportunities for participation and transparency: citizens can take part in planning processes via an app, evaluate variants and make suggestions. The traditional distinction between experts and laypeople is beginning to blur.

But digital progress also brings new problems. Who controls the data? Who owns the models? How can sensitive information be protected from commercial exploitation or political manipulation? In Leningrad – as in Germany, Austria and Switzerland – the governance of digital city models is a hotly debated topic. The demand for open platforms, clear data protection rules and participatory governance is high, but implementation is often still bumpy. Technical excellence alone is not enough – new forms of collaboration are needed that bring architecture, technology, administration and civil society together.

Another field is the use of artificial intelligence in inventory analysis and process optimization. AI can help to identify damage patterns, prioritize refurbishment needs or predict energy consumption. But it is not a miracle cure: without a careful data basis and human control, there is a risk of wrong decisions and new social divisions. Leningrad shows how important it is to see digital tools as a supplement – not a substitute – for human judgment. This is the only way to turn digitalization into real added value for urban development.

Leningrad’s transformation is a lesson for the entire sector: those who use digital innovations wisely can preserve historic buildings, upgrade neighborhoods and make the city more sustainable. However, those who allow themselves to be blinded by technology or ignore the social consequences risk making new mistakes. The future of architecture lies not in either-or, but in both-and: analog and digital, old and new, local and global. Leningrad shows how this balancing act can be mastered – if you are prepared to question your own certainties.

Sustainability Reloaded: legacy, new beginnings and the search for urban resilience

Sustainability is not a buzzword in Leningrad, but a question of survival. The city is struggling with the legacy of socialist planning, dilapidated infrastructure and the consequences of climate change. At the same time, the immense architectural heritage offers opportunities for sustainable transformation. The redevelopment of large housing estates, the conversion of industrial areas, the revitalization of cultural buildings – all of this is on the agenda of urban planners and architects. But the road is rocky: financing problems, legal uncertainties and technical hurdles often make implementation a test of patience.

Compared to Germany, Austria and Switzerland, the challenges are similar, but the starting conditions are radically different. While funding programs and clear standards support change in Central Europe, improvisation is often required in Leningrad. Energy-efficient renovation of old prefabricated buildings, redensification without losing green spaces, integration of renewable energies – all this has to succeed under difficult conditions. Anyone working here needs technical expertise at the highest level: from building materials science and building technology to recycling management. The city is becoming a testing ground for innovative construction methods and sustainable urban development.

There are enough debates. How much demolition is necessary, how much preservation is possible? Can large-scale socialist structures be transformed to meet today’s demands for comfort, efficiency and community? Or are they a case for the wrecking ball? Opinions differ. While some experts advocate radical renewal, others plead for careful adaptation and reuse. As is so often the case, the truth lies somewhere in between. Sustainability here does not mean preserving everything old, but finding intelligent solutions that conserve resources, reduce emissions and strengthen the social fabric.

One key lies in involving users. Those who see renovation and development not as a top-down project, but as a collaborative process, achieve more sustainable results. Digital platforms, participatory planning approaches and open innovation labs can help to forge new alliances. Leningrad is increasingly relying on such formats – sometimes out of conviction, sometimes out of necessity. The result is a patchwork of pilot projects, successful transformations and spectacular failures. But this is precisely what makes the city so interesting for international research and practice.

On a global scale, Leningrad is becoming a reference case for the transformation of post-socialist cities. The lessons learned range from detailed technical issues – such as the renovation of prefabricated blocks – to fundamental considerations about the role of architecture in social upheaval. Those who find solutions for Leningrad can also apply them in other contexts – from East Germany to Central Asia. The future of the city will not be decided in an ivory tower, but in the everyday lives of millions. Sustainability is not a goal, but an ongoing process.

Visions and conflicts: what Leningrad offers the future – and what it doesn’t

Leningrad remains a place of extremes – architecturally, politically and socially. The debate about the legacy of socialist classicism and modernism is a mirror for the questions that many cities around the world are grappling with: How do we deal with contradictory histories, with legacy and new beginnings? How do we manage the balancing act between preservation and renewal, between identity and innovation? In Leningrad, these developments collide particularly violently. This makes the city an ideal laboratory for new ideas – but also a minefield for naive visionaries.

The role of architecture is changing: it is no longer just an expression of power or progress, but is becoming a stage for social debates. Digital technologies, sustainable construction methods, participatory processes – all of this is changing the rules of the game. Anyone planning in Leningrad has to live with uncertainties, contradictions and surprises. The future is open, the challenges are great. But that is precisely what makes it so attractive: Here you can try things out, fail, learn – and sometimes even succeed.

There is plenty of criticism: of the commercialization of historic buildings, of the gentrification of former working-class districts, of the dominance of investors and the weakness of civil society. But Leningrad is more than just a victim of history. The city has shown time and again that it can survive crises and find new paths. Architecture is not just a backdrop, but an active player. It can reinforce polarization – or build bridges. It can create identity – or destroy it. The decision lies with those who design it.

Leningrad has long since arrived in the international discourse. Experts from all over the world travel here to study the transformation, exchange ideas and build networks. The city has become a symbol of the opportunities and risks of urban renewal. It is a reference for post-socialist cities, an inspiration for sustainable strategies and a warning against technocratic hubris. Anyone who works here quickly learns that there are no patent remedies. Every district, every building, every generation produces its own solutions. This makes the work challenging – and exciting.

In the end, the question remains: What can Leningrad really offer the future? The answer is as diverse as the city itself. It lies somewhere between historical responsibility, technical innovation and social openness. Those who are open to it will find in Leningrad a unique resonance chamber for the big questions of architecture. Anyone hoping for simple answers will be disappointed. But perhaps that is precisely the greatest treasure of this city.

Conclusion: Leningrad as a mirror and laboratory of modern architecture

Leningrad is not a museum relic, but an urban laboratory for the future of architecture. The city shows how closely social, technical and aesthetic issues are interwoven – and how difficult the path to a truly sustainable transformation is. Between socialist classicism and radical modernism, between analog history and digital innovation lies one of the most exciting construction sites of the present. If you have the courage to engage with the contradictions, you will find answers to questions that reach far beyond Russia. The biggest lesson: architecture is never just form. It is an expression of society, a tool for change – and sometimes also a rather loud statement. Leningrad remains a place where the future is being built. And that is anything but boring.

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AI-Generated Campus Planning

Building design
a-group-of-people-walking-along-a-street-next-to-tall-buildings-LXnodt714tQ
Street scene with pedestrians and urban architecture in Ho Chi Minh City, photographed by Gia Tu Tran

AI-generated campus planning is the new secret weapon of real estate developers, university planners, and architects. But what lies behind the glossy renderings, the promises of efficiency and sustainability, and the hype surrounding artificial intelligence? A look behind the facade—and right into the algorithmic heart of modern campus development.

  • AI-based campus planning is revolutionizing the development and management of complex university campuses in Germany, Austria, and Switzerland.
  • Digital tools and artificial intelligence enable data-driven space management, adaptive usage concepts, and more precise forecasts of mobility and energy flows.
  • Sustainability and resilience become tangible through simulation-based scenarios, life-cycle analyses, and networked construction planning—at least in theory.
  • The biggest hurdles: cultural reservations, fragmented data silos, data protection, and the fear of losing control.
  • Technically, this requires in-depth knowledge of BIM, GIS, data analysis, and machine learning—as well as an understanding that algorithms are not neutral oracles.
  • The role of architects is shifting from designer to system integrator and process manager.
  • AI-powered campus planning is not a panacea, but rather a toolkit with risks and side effects: bias, black-box issues, and commercialization.
  • Global flagship projects in the U.S. and Asia are setting standards, while the DACH region balances between a pioneering spirit and a stumbling block.
  • Visionaries call for open platforms and democratic participation—critics warn against algorithmic conformity and technocratic arbitrariness.

Campus Planning in Transition: From Hand-Drawn Sketches to Data Models

Anyone planning a university campus today no longer does so with a ruler, colored pencils, and gut instinct. The era in which a master plan was set in stone for 30 years is finally over. Instead, data-driven decision-making reigns supreme: space requirements, user profiles, energy flows, mobility patterns—all of this is measured, modeled, and simulated in countless variations. AI-based campus planning promises not only to manage this complexity but to actively shape it. The algorithms analyze usage data, simulate scenarios, optimize route connections, and tailor building configurations to changing requirements. What at first glance looks like a digital no-brainer is, in reality, a radical paradigm shift: the campus is becoming a dynamic system that constantly adapts and evolves.

In Germany, Austria, and Switzerland, the topic has long been on the agenda. The Technical University of Munich is experimenting with AI-supported planning tools; in Vienna, adaptive building structures are being simulated; and in Zurich, building technology and mobility planning are converging to form a digital ecosystem. Major universities and research campuses are the first to drive this development—motivated by space constraints, sustainability goals, and international competition for the brightest minds. But while entire campus districts in the U.S. and Asia are already being designed and operated using AI, the German-speaking world is still in the experimental phase. Many decision-makers hope for efficiency gains, faster planning processes, and better building performance—yet skepticism remains high.

The greatest innovation here lies not in any single tool, but in systems thinking: campus planning is becoming a process that can be continuously reevaluated and adapted. Where rigid master plans once dominated, vibrant, adaptive structures are now emerging. This also means that planners and architects must let go of the notion that they have everything under control. Instead, the focus is shifting to the coordination of data streams, stakeholder interests, and technical interfaces. Those who ignore this development run the risk of being swept away by the next wave of digitalization.

Another aspect: AI makes planning transparent—or at least traceable. Simulations show how a new cafeteria affects traffic flows, how energy demand changes, or what shadows a planned high-rise building casts. This opens up new opportunities for participation, but also creates new lines of conflict. After all, algorithms are not objective arbiters. They reflect the assumptions and interests of their developers—and can thus cement old power structures or create new ones. For planners, this means that anyone who uses AI must also explain how it works—and what decisions it makes.

The vision: a campus that behaves like an ecosystem. Spaces are repurposed as needed, energy is consumed where it’s needed, and mobility options adapt to actual demand. Sound like science fiction? In some respects, it still is—but the groundwork is being laid today. The question is no longer whether AI will change campus planning, but how profound and lasting this change will be.

The Role of Artificial Intelligence: Between Hype and Reality

Anyone who believes that AI-generated campus planning is a sure thing is sorely mistaken. While software providers promise autonomous planning tools that optimally allocate user needs, building structures, and green spaces, the reality is less glamorous. Artificial intelligence is not a magic wand, but a tool that links data, models, and assumptions. It recognizes patterns, forecasts trends, and suggests solutions—but it does not make decisions autonomously. The responsibility remains with the planners, the building owners, and the users.

In practice, three areas of application currently dominate: First, space optimization. AI algorithms analyze how offices, lecture halls, and laboratories are actually used—and suggest ways to connect spaces more efficiently or design them flexibly. Second, energy and sustainability planning. Using simulations, energy consumption, CO₂ emissions, and life-cycle costs can be calculated and optimized across various scenarios. Third, traffic and mobility management. AI-based models simulate how route connections, parking spaces, or car-sharing services affect the campus’s accessibility and appeal.

But no matter how clever the algorithms may be, they are only as good as the data they are fed. And this is where the biggest problem lies. Many universities and building owners are stuck with isolated data silos that barely communicate with one another. Data privacy concerns, a lack of standardization, and proprietary software solutions are holding back progress. Anyone who wants a truly smart campus must first get their data under control—and be willing to share it with other stakeholders. This is a task that still requires a great deal of persuasion in Germany, Austria, and Switzerland.

Technical expertise is becoming a bottleneck. Planners and decision-makers must understand how machine learning works, how to evaluate data sets, and how to interpret simulation results. Those who rely on AI to do everything right run the risk of being caught off guard by algorithmic errors and biases. So it takes not only technical know-how, but also a critical perspective and a willingness to question decisions.

The exciting prospect: AI can make planning not only more efficient but also more creative. By suggesting unconventional solutions, highlighting conflicting goals, and revealing new connections, it opens up new avenues for thought and action. The prerequisite: Humans remain in the driver’s seat—and use AI as a partner, not a replacement.

Sustainability and Resilience: Utopia or an Attainable Goal?

Hardly any term is used as overused in campus planning as “sustainability.” But what does that actually mean in the context of AI-generated planning? The hope: With the help of simulations and predictive models, buildings and infrastructure can be designed to minimize their ecological footprint, use resources efficiently, and adapt flexibly to changing requirements. The reality: There is a considerable gap between aspiration and reality.

Energy management provides a prime example. AI-supported systems can monitor the energy consumption of entire campuses in real time, identify bottlenecks, and dynamically distribute loads. They simulate how a new PV system, a change in user behavior, or the addition of a data center will affect overall consumption. Ideally, this results in a campus that not only consumes less energy but also acts as an energy producer. Yet practice shows that many solutions remain isolated initiatives that are not integrated into the overall strategy. Technically, much is possible—but organizationally and culturally, there is still a great deal of work to be done.

Resilience is the second major buzzword. AI can help simulate scenarios for extreme weather, pandemics, or supply disruptions and develop emergency plans. It can identify bottlenecks early on and suggest adaptive measures. But here, too, the best simulation is of little use if it is not translated into concrete action strategies. Responsibility and decision-making authority remain with people—AI merely provides the basis for decision-making.

Another problem: Sustainability is never neutral. Every optimization is based on assumptions—about user behavior, technical standards, and societal priorities. Whoever programs the algorithms decides what counts as sustainable and what does not. This opens the door to manipulation, conscious or unconscious distortions, and greenwashing. Critical reflection and transparency are therefore indispensable.

Nevertheless, the vision remains appealing: a campus that is not only low-emission and resource-efficient but also promotes the well-being of its users, facilitates social interaction, and adapts flexibly to new challenges. AI can help achieve this goal—if it is understood as a tool and not as a substitute for human judgment.

Risks, Side Effects, and the New Role of Architects

Those who tout AI-generated campus planning as a panacea are glossing over the risks. Algorithms are not neutral tools, but products of human assumptions, interests, and biases. They can reinforce existing power structures, become black boxes, or reduce planning to criteria that appear objective but are, in reality, arbitrary. It becomes particularly problematic when software providers market their platforms as closed systems—and relegate planners, users, and building owners to mere bystanders in their own projects.

Data sovereignty is the next minefield. Who owns the data? Who decides how it is used? Many universities and building owners fear a loss of control—and block AI projects because they do not want to relinquish control over their planning and operational data. The result: fragmented, isolated solutions, a lack of interoperability, and a patchwork of incompatible systems. Anyone who wants a truly connected, smart campus needs open interfaces, clear governance structures, and a willingness to share responsibility.

For architects and planners, this means their own role is changing dramatically. Instead of acting as the sole designers of spaces, they are taking on the role of facilitators of complex, data-driven processes. They must combine technical expertise with strategic thinking and social intelligence—and learn to deal with uncertainty, contradictions, and conflicting goals. Those who rely exclusively on AI risk becoming mere agents of algorithms and software providers.

But these risks are no reason for fatalism. On the contrary: they open up new opportunities for action when addressed consciously. Those who use AI as a catalyst for transparency, participation, and innovation can elevate planning and operations to a new level. The prerequisite: open platforms, transparent algorithms, and genuine input for all stakeholders—from university leadership to students.

The debate is on. Visionaries call for AI to be viewed not only as a driver of efficiency but also as a tool for democratization. Critics warn against the standardization of planning, technocratic arbitrariness, and the danger of pushing people out of the process. The truth, as is so often the case, lies somewhere in between—and is renegotiated on a case-by-case basis.

Global Trends, Local Hurdles: The DACH Region Between New Beginnings and Skepticism

A look around the world shows that AI-generated campus planning has long been a reality—at least in international flagship projects. In the U.S., Stanford, MIT, and other top universities are experimenting with digital twins that map and control campus life in real time. In China, university campuses are emerging that are planned and operated entirely on a data-driven basis—including AI-controlled mobility, energy supply, and user interaction. And in Singapore and South Korea, entire innovation parks are viewed as adaptive, learning systems.

Germany, Austria, and Switzerland are lagging behind—not due to a lack of knowledge or technology, but because of cultural and organizational hurdles. Data protection is considered a precious asset here, the fear of losing control runs deep, and federal fragmentation makes it difficult to scale innovative approaches. Many universities and building owners are open to pilot projects but are reluctant to roll them out on a large scale. The result: much remains in the experimental stage, while other countries have long since moved into the fast lane.

Technologically, the DACH region is certainly up to par. Expertise in BIM, GIS, data management, and simulation is available, and universities are doing pioneering work in research and development. What’s missing is the courage to transform—and the willingness to view planning as an open, iterative process. Far too often, thinking is dominated by individual projects rather than interconnected, adaptive systems.

Nevertheless, the outlook is not hopeless. Those who lay the groundwork today for open data platforms, standardized interfaces, and participatory planning processes will be able to compete on the international stage tomorrow. The key lies in combining technical excellence, cultural openness, and the political will to shape the future. AI-generated campus planning is not an end in itself, but a tool for actively addressing the major challenges of sustainability, digitalization, and social change.

The global architecture community is closely watching developments in the DACH region. Germany, Austria, and Switzerland enjoy an excellent reputation for technical precision, sustainable concepts, and architectural quality. The question is whether they will make the leap into the digital age—or whether they will be overtaken by the simulations of other countries. The clock is ticking.

Conclusion: Campus planning will never be the same again

AI-generated campus planning is here to stay—with all its opportunities, risks, and side effects. It forces planners, developers, and users to cast aside old certainties and view planning as an open, data-driven process. Those who embrace the new tools can design campus areas that are more sustainable, flexible, and livable. Those who hesitate risk falling behind in international competition. The future of campus planning is algorithmic—but it remains human if we view it as a shared project. Welcome to the age of the learning campus.

Stone art of a special kind

Building design

Legs, arms and other body parts that disappear into a marble slab – Milena Naef won the GRA Award at the renowned Gerrit Rietveld Academie (GRA) art academy in Amsterdam with this extraordinary work of art. The young artist impressed the jury with her multi-part work made of Cristallina marble, entitled “Weight of four Generations”, “Fleeting parts” and “Amnesia”. The creative play […]

Legs, arms and other body parts that disappear into a marble slab – Milena Naef won the GRA Award at the renowned Gerrit Rietveld Academie (GRA) art academy in Amsterdam with this extraordinary work of art.

The young artist impressed the jury with her multi-part work made of Cristallina marble, entitled “Weight of four Generations”, “Fleeting parts” and “Amnesia”. The jury was impressed by her creative play with marble: “Milena has found a way to cast a material as old and pre-stressed as marble in a new, personal and physical light,” said the jury members. The art prize is an annual award for the most promising graduation project.