Resilience Inventory for Cities – How to Systematically Assess Vulnerability

Building design
View of Hamburg's HafenCity as an example of urban resilience and systematic urban development.
HafenCity shows how urban vulnerability can be captured and how urban development can be made resilient.

Just how vulnerable is our city really? Anyone who thinks that resilience is just a buzzword in the climate debate is sorely mistaken. Vulnerability has long since become the hardest currency of urban development—and those who fail to systematically assess it risk nothing less than the city’s future. It’s time for a resilience inventory that’s more than just an Excel spreadsheet: it’s the new compass for planners, urban designers, and decision-makers who want to make their city not only robust but also future-proof.

  • The Resilience Inventory: What it is, why it’s urgently needed, and how it’s transforming cities from the ground up.
  • Systematically Assessing Vulnerability: Definitions, Methods, and the Difference Between Risk, Resilience, and Vulnerability.
  • The key indicators of urban vulnerability—from climate change to digitalization and social infrastructure.
  • Practical Applications: How cities can develop, maintain, and integrate a resilience inventory into their planning processes.
  • Best practices and lessons learned from German-speaking and international model municipalities.
  • Technological tools, data sources, and the role of urban digital twins in resilience management.
  • Governance, participation, and the question: Who actually owns vulnerability data?
  • Challenges and pitfalls: From data sovereignty to the risk of algorithmic bias.
  • How a resilience inventory challenges traditional urban planning—and what that means for planners and decision-makers.
  • Conclusion: Why the resilience inventory is not a project but a process—and the key to the city of tomorrow.

Resilience Inventory: From Buzzword to Urban Necessity

Ever since heat waves, heavy rains, the pandemic-induced state of emergency, and global supply chain issues, one thing has become clear: vulnerability is no longer an abstract concept, but part of everyday life in European cities. But while the term “resilience” echoes like a mantra through strategy workshops and mission statements, the question remains: How do you actually measure how vulnerable a city is? This is where the Resilience Inventory comes into play. It is not a magic formula, but a systematic toolkit designed to make urban risks, vulnerabilities, and resilience visible, comparable, and ultimately manageable.

The concept is remarkably simple yet revolutionary: A Resilience Inventory collects, consolidates, and evaluates all relevant data and indicators that influence a city’s resilience. This ranges from classic parameters such as flood protection, healthcare, and social networks to highly topical issues surrounding digitalization, critical infrastructure, and the resilience of supply chains. The goal is to gain as complete a picture as possible of where a city’s weaknesses lie—and which strengths can be built upon.

At its core, this is about fostering a new culture of planning that views vulnerability not as a failure, but as an opportunity. After all, only by systematically understanding one’s own vulnerabilities can a city take targeted measures, set priorities, and make optimal use of resources. The Resilience Inventory thus becomes a strategic compass for policymakers, administrators, and urban society—and the foundation for modern, data-driven urban management.

In practice, this means moving away from flying blind toward evidence-based governance. Anyone who still believes today that resilience can be achieved with a few green roofs and references to “resilient neighborhoods” fails to recognize the complexity of urban systems. A resilience inventory must cover the full spectrum—physical, social, ecological, and digital. The challenges are significant, but the opportunities are even greater. After all, the more precisely vulnerabilities are identified, the more targeted and efficient the city can be in its response, investments, and further development.

The real key: A resilience inventory is not a static document. It lives, grows, and changes—just like the city itself. And that makes it perhaps the most important driver of innovation for the next decade: By systematically mapping vulnerabilities, cities make resilience a top priority and prepare themselves for the challenges of tomorrow.

Understanding Vulnerability: Definitions, Indicators, and Methodological Approaches

Before vulnerability can be systematically assessed, it must be clear exactly what we’re talking about. What does vulnerability mean in the context of urban resilience? The term refers to a system’s susceptibility to disruptions, shocks, or sustained stress. In urban planning, this relates to questions such as how strongly infrastructure, social networks, buildings, or entire neighborhoods respond to external influences like extreme weather, power outages, cyberattacks, or societal crises. Vulnerability is the opposite of resilience—that is, a system’s ability to recover from disruptions or even emerge stronger as a result.

The tools for assessing urban vulnerability are diverse. The focus is on indicators that can be broadly divided into four categories: physical-technical, social, ecological, and economic. Physical indicators, for example, assess the condition of buildings, the density of critical infrastructure, or the accessibility of emergency routes. Social indicators shed light on aspects such as age structure, social inequality, neighborhood support networks, and social trust. Ecological indicators measure the resilience of green spaces, water bodies, and soils, as well as the presence of heat islands. Finally, economic indicators provide information on the economic structure, the diversity of businesses, and dependence on specific industries and supply chains.

The methodological challenge lies in developing a coherent, comparable, and manageable system from the wealth of data. Various approaches are used here: ranging from traditional risk analyses and scenario development to complex simulation models that utilize urban digital twins and real-time data. It is important that the resilience inventory not only provides a snapshot but remains dynamic—after all, risks and vulnerabilities are constantly changing. It is not uncommon to link existing geodata, environmental information, social statistics, and infrastructure data to obtain the most comprehensive picture possible.

Another crucial point is the involvement of stakeholders. Resilience is not an ivory-tower project. Expert knowledge from government, academia, business, and civil society must be incorporated, as must the practical experience of residents. Only in this way can blind spots be avoided and an inventory created that actually works in practice. Local characteristics play a major role, particularly in the selection and weighting of indicators—and they are what make every resilience inventory unique.

At the end of the day, the systematic assessment of vulnerability is a balancing act between data quality, practicality, and transparency. It requires technical expertise, methodological precision—and, not least, a certain degree of humility. After all, no inventory is perfect. But every well-designed inventory is an invaluable step toward a resilient city.

From Data Graveyard to Management Tool: Developing and Implementing a Resilience Inventory

The theory sounds convincing, but what does practical implementation look like? The path from the initial idea to a fully operational resilience inventory is fraught with challenges—and opportunities. The first step is to clarify the objectives: Is the focus on protection against extreme weather, security of supply, digitalization, or social cohesion? Or—in the spirit of modern urban planning—all of the above? The clearer the objectives are defined, the more effectively the inventory can be structured.

The next step is to identify and tap into relevant data sources. These range from traditional geodata, environmental data, and statistics to real-time data from sensors, mobility platforms, or social media. Things get particularly exciting when existing data silos are broken down and consolidated into an open urban data platform. This demonstrates that the resilience inventory is far more than a technical gimmick—it is a governance project in the best sense of the word. After all, the question of who has access to which data and how it is used is just as central as the technical infrastructure itself.

The real challenge lies in translating the collected data into meaningful indicators and understandable visualizations. This is where tools like Urban Digital Twins come into play, enabling the simulation of complex relationships, the testing of scenarios, and the visualization of the impacts of measures in real time. But be careful: a resilience inventory must not become a data graveyard. It must be regularly updated, reviewed, and adapted to new challenges. This requires not only technical expertise but also clearly defined organizational processes and responsibilities.

Another key element is integrating the inventory into ongoing urban planning. The tool only achieves its full potential when the results are actually incorporated into decision-making processes. This may mean adjusting zoning plans, investment decisions, or disaster preparedness measures based on the inventory’s findings. Or that public participation and communication are supported by new, data-driven visualizations. In any case, the resilience inventory is not an end in itself, but an active management tool for a city in transition.

In conclusion, it should be noted that developing a resilience inventory is a complex but rewarding process. It requires perseverance, resources, and a strong willingness to collaborate across disciplines and sectors. However, those who embark on this path gain more than just a fancy dashboard. They lay the foundation for a city that not only reacts to crises but actively addresses them—and thereby ultimately ensures its long-term attractiveness, competitiveness, and quality of life.

Best Practices, Innovations, and the Role of Governance

A look at real-world practice shows that the concept of a resilience inventory has long since moved beyond academic discourse. In cities such as Zurich, Rotterdam, and Copenhagen, systematic vulnerability analyses are already being used as the foundation for urban development. Zurich, for example, combines climate data, infrastructure analyses, and social indicators in its resilience inventory within an Urban Data Platform that is available to planners and decision-makers in real time. This not only enables better risk assessments but also a more targeted allocation of resources in particularly vulnerable neighborhoods.

There are also promising approaches in Germany. Leipzig, for example, has developed a comprehensive resilience inventory as part of its climate adaptation strategy, which systematically links the urban climate, infrastructure, and social aspects. Experience shows that the closer government, academia, and civil society work together, the more effective the tool is. In Hamburg, experiments are also underway with Urban Digital Twins to simulate, in real time, the impacts of extreme weather events on critical infrastructure and to prioritize appropriate measures.

The issue of governance is always crucial here. Who is responsible for the inventory? Who decides on indicators and measures? In many cases, a collaborative approach has proven effective, in which various city departments, external experts, and representatives of the city’s civil society work together to further develop the inventory. Open, transparent communication is just as crucial as the ongoing review of methods and data sources.

Innovative tools and technologies offer additional opportunities. Artificial intelligence can help identify patterns in large datasets, while visualization tools make complex relationships understandable to laypeople. Integrating citizen knowledge—for example, through participatory maps or online platforms—also opens up new possibilities for identifying vulnerabilities and areas for improvement. But despite all the enthusiasm for technology, one thing remains true: even the best tools are of little use if they are not embedded in a smart governance and participation structure.

The lessons from best practices are clear: a resilience inventory is not a one-time project, but an ongoing process. It thrives on innovation, adaptability, and a willingness to learn from mistakes. And it requires a governance framework that focuses not only on control, but above all on cooperation and openness. Those who take this to heart turn vulnerability into a strength—and make resilience the hallmark of their city.

Opportunities, Risks, and the New Self-Conception of Urban Planning

With the resilience inventory, a new self-image is taking hold in urban planning. It is no longer just about avoiding risks or reacting to crises. Rather, the focus is on proactive planning: Where are our weak spots? How can we strengthen them? And how do we make the city as a whole more adaptable, flexible, and future-proof? The inventory thus becomes a strategic tool that connects planning, operations, and policy on a new level.

The opportunities are enormous. By systematically mapping vulnerabilities, we can allocate resources more effectively, set priorities more accurately, and make urban development more robust overall. Especially in times of multiple crises—from climate change to digitalization to social division—the Resilience Inventory offers a decisive knowledge advantage. It enables evidence-based decision-making that relies not on gut feelings but on robust data and scenarios. And it fosters collaboration among different stakeholders, disciplines, and levels of government.

But there are also risks. Handling sensitive data requires the utmost care and clear rules regarding data sovereignty. The danger of algorithmic bias is real—for example, when certain groups or neighborhoods are systematically disadvantaged because the data set is incomplete or the models are unbalanced. Nor should the risk be underestimated that the inventory will become an end in itself and become bogged down in administrative routine. This calls for critical oversight, constant reflection, and a willingness to continuously refine the tool.

The issue of transparency and participation is also of central importance. A resilience inventory can only achieve its full impact if the results are openly communicated and discussed with the urban community. This strengthens trust in the administration, promotes acceptance of measures, and helps ensure that resilience is understood not as a top-down project but as a collective endeavor. Digital twins and visualization tools, in particular, can serve as a bridge between expert knowledge and everyday reality.

The end result is a new planning culture that views vulnerability as a catalyst for innovation. Those who recognize their own weaknesses can turn them into strengths. And those who systematically assess vulnerability make resilience the DNA of tomorrow’s city—open, adaptable, and ready for any challenge.

Conclusion: The Resilience Inventory as the Key to a Sustainable City

The Resilience Inventory is far more than just another planning tool in the colorful toolbox of urban development. It is the new compass for an era in which uncertainties and challenges have become the urban norm. Those who systematically assess vulnerability lay the foundation for a city that not only reacts to crises but confronts them with foresight and innovative strength. Experiences from pioneering cities and model municipalities show that with smart governance, technological openness, and the consistent involvement of the urban community, the Resilience Inventory becomes a strategic management tool that takes urban planning to a new level.

Of course, the path to this goal is challenging. It requires courage, resources, and a willingness to question established routines. But the effort is worth it—because the end result is a city that is not only resilient but also vibrant, attractive, and sustainable. The Resilience Inventory is not a project that will ever be completed. It is an ongoing process that accompanies the city as it changes, revealing weaknesses and building on strengths. Those who start today are investing not only in safety but, above all, in the quality of life in their own city.

With this in mind: systematically identify vulnerabilities, shape resilience—and work together to develop the city of tomorrow with a clear mind, open data, and a healthy dose of curiosity. Because one thing is certain: the future belongs to those who understand it—and shape it.

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Digital neighborhood analyses at district level

Building design
aerial-view-of-a-town-with-many-houses-sC6IvRuqx-g

An impressive aerial view of a city with numerous houses, taken by Berke Can.

Neighbourhoods in the digital mirror: with modern neighborhood analyses at district level, the city is beginning to understand itself – and often reinvent itself. Between real-time data, citizens’ interests and algorithmic forecasts, planners are facing the biggest challenge since the introduction of the land use plan. Those who fail to recognize the opportunities offered by digital tools are left at an analog dead end.

  • Definition and development of digital neighborhood analyses and their integration into urban planning processes.
  • Technical basics: From geodata to AI – which tools and data types are used?
  • Use and impact: How do digital analyses change neighborhood development, participation and governance?
  • Practical examples from Germany, Austria and Switzerland – successes, stumbling blocks and lessons learned.
  • Opportunities for climate resilience, social mix, mobility transition and sustainable land use.
  • Risks: Data protection, algorithmic distortions and the risk of alienating urban societies.
  • Legal, technical and cultural hurdles in German-speaking planning practice.
  • Strategic recommendations for cities, planners and developers venturing into digital neighborhood analyses.

Digitalization of the neighbourhood: from classic social space analysis to real-time neighbourhoods

Anyone who still thinks of neighborhood analyses in terms of transit traffic counts with clipboards and timesheets has overslept the last few years. In the meantime, digital neighborhood analysis has become a highly dynamic field that does not do away with traditional methods, but takes them to a new level. What used to be painstakingly determined through surveys and observations is now created from a fine mesh of real-time data, algorithmic evaluation and participatory feedback. But what is really behind it all?

At its core, digital neighborhood analysis describes the systematic collection, linking and evaluation of a wide range of data on the condition, use and development of a neighborhood. Unlike a rough social area analysis, today it is no longer just demographic and infrastructural key figures that are collected. Instead, mobility flows, residence times, climatic parameters, energy consumption, noise levels, green space quality and even the residents’ subjective perception of safety are digitized, collated and analysed. Thanks to sensor technology, geoinformation systems and artificial intelligence, a living, multidimensional image of the neighborhood is being created.

This development is not an end in itself. It is the answer to the increasing complexity of urban spaces, where traditional static analyses quickly reach their limits. Neighborhoods today are highly dynamic systems with diverse interactions. A new café, a building site or a heavy rainfall event can change the fabric within hours. Digital neighborhood analysis creates the conditions for reacting flexibly to such changes – or even anticipating them.

What is particularly exciting is that digital analyses can not only capture the purely spatial aspects of a neighborhood, but also the social aspects. By evaluating anonymized mobile phone data, social media feeds or online participation platforms, patterns of use, wishes and problems of residents can be made visible. This creates a holistic picture that goes far beyond the traditional planning perspective.

The digitalization of neighbourhood analysis is therefore not a technical gimmick, but a new form of urban intelligence. It enables planning that is no longer based solely on experience and gut feeling, but on reliable, up-to-date and multi-linked data. And it opens up the opportunity not just to manage the city, but to actively shape it.

Technical foundations: data, sensors and AI – the digital nervous system of the neighborhood

The basis of every digital neighborhood analysis is a data-driven ecosystem, the complexity of which is often underestimated. At its heart is geodata, which is fed from a wide variety of sources. Traditional cadastral data and official statistics only form the foundation. The real magic comes from the integration of real-time data from sensors, mobility providers, energy suppliers, weather stations, public WLANs, sharing services and even smart home systems. This transforms the neighborhood into an “Internet of Neighborhood Things” – a dense network that regularly provides up-to-date information.

Sensor technology is no longer limited to traffic counts or environmental measurements. Modern LoRaWAN sensors record particulate matter, temperature, humidity, noise, light intensity and movement profiles – and do so comprehensively, cost-effectively and with low maintenance. There are also crowd data approaches: Residents themselves provide valuable information via apps, social networks and digital participation platforms, for example on problem areas, quality of stay or conflicts of use.

What happens to this data is decided by the next layer of analysis: powerful algorithms and artificial intelligence. They recognize patterns, calculate forecasts and simulate scenarios. For example, it is possible to model how a new traffic routing will affect noise distribution, how the microclimate will change with additional greenery or how social infrastructure will have to adapt to the development of the neighborhood. The demands are high: it’s about more than just pretty visualization – it’s about well-founded decision support in real time.

Open interfaces, so-called Open Urban Platforms, play a decisive role here. They ensure that data from different systems can communicate with each other – without proprietary isolated solutions or data monopolies. This is the only way to create a holistic, interoperable picture of the neighborhood that can be used and further developed by various stakeholders.

The requirements for data protection, data sovereignty and cybersecurity should not be underestimated. The more granular and up-to-date the data, the greater the responsibility in handling it. The development of legally compliant, transparent and comprehensible analysis processes is therefore one of the key tasks for planners, technology service providers and local authorities alike.

New planning reality: how digital neighborhood analyses are changing districts

The establishment of digital neighborhood analyses is fundamentally changing the rules of the game in neighborhood development. Planning is becoming more dynamic, more interactive and – in the best case – more inclusive. Suddenly, planners can not only document current conditions, but also simulate future developments and weigh up different scenarios against each other. A new residential district? The effects on traffic, infrastructure, microclimate and social mix are no longer a guessing game, but can be estimated based on data.

An illustrative example: In Zurich, all movement data in public spaces was evaluated anonymously as part of a Smart City project. The analysis showed that certain places were avoided despite their attractive design – because they were perceived as unsafe. Only the combination of quantitative movement data and qualitative feedback from a digital participation platform revealed the causes: lack of lighting, poor sightlines, lack of social control. The city was able to make targeted adjustments – and visibly improve the quality of life.

Digital neighborhood analyses are also a key to climate-resilient neighborhoods. In Vienna, for example, particulate matter and temperature data is evaluated in real time in order to identify heat islands and to green them in a targeted manner. In Hamburg, mobility data is used to assess the effectiveness of traffic calming measures and to optimize neighbourhood mobility. These examples show: The possibilities extend far beyond the classic survey of existing traffic.

The influence on governance in the neighborhood is particularly significant. Digital analyses make connections visible that previously remained hidden in the fog of subjective perception. They promote the transparency of planning processes and enable a more precise, fact-based discussion between administration, politicians and residents. Participation thus becomes not only more digital, but also more substantial – as long as the data is open and comprehensibly accessible.

Of course, not all that glitters digitally is gold. The use of digital tools can also lead to alienation if the technology becomes a black box and citizens feel excluded. This is where planners and local authorities are called upon to establish digital neighborhood analyses as an instrument of understanding – not as a substitute for dialogue, but as its catalyst.

Practice and perspective: opportunities, risks and the German-speaking reality

In practice, the picture is quite mixed. While international pioneers such as Helsinki and Singapore have long been using digital city models as a basis for neighborhood decisions, German-speaking countries are often even more cautious. Cities such as Hamburg, Munich and Zurich have set up initial pilot projects, but the big leap towards the widespread use of digital neighborhood analyses has yet to be made in many places. There are many reasons for this: technical hurdles, a lack of standards, uncertainty about data protection and governance and, last but not least, cultural reservations about algorithmic planning.

Nevertheless, successful examples show the potential that can be tapped. In Vienna, for example, digital neighborhood analyses are being systematically integrated into urban development planning. Neighborhood profiles are created there that map climate resilience, social mix, mobility options and energy consumption in real time. The results flow directly into competitions, development plans and investment decisions. In Zurich, the Smart City Lab demonstrates how the combination of real-time data, visualization and citizen participation can not only accelerate planning processes, but also increase the acceptance of new projects.

Risks exist in particular in the danger of algorithmic distortions. If data sources are unrepresentative or algorithms make non-transparent decisions, social imbalances can be exacerbated instead of remedied. The risk of excessive commercialization is also real: if large technology companies gain data sovereignty over neighbourhoods, urban development threatens to become the plaything of private interests.

The legal framework in German-speaking countries continues to be a stumbling block. Data protection laws, the separation of responsibilities between the federal, state and local authorities and the lack of binding standards make it difficult to introduce the system across the board. Added to this is the often small-scale administrative structure, which slows down rather than promotes innovation. But here, too, the following applies: those who invest early on create a strategic advantage – and can help shape standards instead of being overrun by them.

What remains is the realization that digital neighborhood analyses are not a panacea, but a tool – one that offers enormous added value when used wisely, but also creates new responsibilities. The key to success lies in the combination of technical excellence, open governance and a culture of dialog that sees the city and neighbourhood as a living organism.

Strategies for the future: recommendations for planners, municipalities and developers

Any planner, local authority or developer who wants to venture into the world of digital neighborhood analyses faces an exciting but challenging task. The most important recommendation is: technology is never an end in itself. It is crucial to ask the right questions and choose the right tools. Start with a clear analysis of the objectives: Is it about traffic optimization, climate adaptation, social integration or all of the above? Each goal requires its own data, methods and participation formats.

Rely on open, interoperable platforms instead of isolated solutions. This is the only way to flexibly expand data sources and integrate different stakeholders. Invest in the data expertise of your own teams – and create interfaces to external experts from IT, social sciences and communication. Digital neighborhood analyses are teamwork, not an individual discipline.

Don’t forget the people in the neighborhood. Digital participation is not a one-way street, but thrives on transparency and feedback. Explain what data is collected and how it is used. Actively involve residents – for example via digital reporting platforms, participatory workshops or visualizations that even laypeople can understand. If you operate digital neighborhood analysis as a black box, you will lose trust and acceptance.

Establish clear rules for data use, data protection and governance. Define who has access to which information, how decisions are documented in a comprehensible manner and how errors or distortions are identified and corrected. Remember: with every new technology, the responsibility towards urban society and democracy also grows.

Finally: Have the courage to innovate. Digital neighborhood analysis is not a rigid recipe, but a dynamic learning process. Mistakes are unavoidable, but also valuable – as long as they are made transparent and used to improve. Those who close their minds to digital change are planning for the city of yesterday. Those who shape it will shape the neighborhoods of tomorrow.

Conclusion: Digital neighborhood analysis – a compass for the city of the future

Digital neighborhood analyses at district level mark a paradigm shift in urban and open space planning. They create the basis for forward-looking, resilient and participatory development of urban spaces – and are therefore far more than just another technical tool. They make the dynamics of the district visible, promote a new dialog between planning, politics and society and give the city a voice that comes not just from the drawing board, but from real life. They are not a sure-fire success, but require technical expertise, open governance and a good dose of courage to question old ways of thinking. But it’s worth the effort: if you use digital neighborhood analyses wisely, you can turn data into real quality of life – and set the course for the city of the future. With this in mind, welcome to the reality of tomorrow, which begins today.

Baumeister student competition

Building design

RWTH Aachen and TU Munich are the most successful universities in this year’s student competition organized by Baumeister and Nemetschek Allplan Systems.

RWTH Aachen and TU Munich are the most successful universities in this year’s student competition organized by Baumeister and Nemetschek Allplan Systems. A TU team won with its submission on the subject of “Three houses under one roof”, “Curia House on Roncalliplatz in Cologne” and “Diving Bunker”, the titles of the two winners from Aachen. The theme of the competition was additions to storeys, under the title “That’s the height!” 16 universities with a total of 33 entries responded to our call.

The jury could not (and did not want to) decide on an exact order this year. The projects in the final round simply excelled with too many different aspects. They agreed on three equal prizes in the categories “Housing”, “Public Building” and “Conversion”. Each prize-winning work received prize money of 1,500 euros. Three further projects were recognized and awarded prize money of 250 euros each.

All winning projects and recognitions will be published in Baumeister 7/2014 with the jury’s assessments. We would like to congratulate the winners and thank them for their fantastic entries!

The winners are:

Category “Living”

Barbara Trojer, Markus Munzig, Cosima Krubasik from the Technical University of Munich for their submission “Three houses under one roof”, prize money: 1,500 euros

Category “Public Building”

Patrick Knüppe from the Rheinisch-Westfälische Technische Hochschule Aachen for his submission “Kurienhaus am Roncalliplatz in Cologne”, prize money: 1,500 euros

Category “Conversion”:

Thomas Haber from the Rheinisch-Westfälische Technische Hochschule Aachen for his submission “Tauchbunker”, prize money: 1,500 euros

Recognition and prize money of 250 euros each:

Janna Lane and Jan Hendrik Lorenzen, Lübeck University of Applied Sciences

Felix Broer, Dortmund University of Applied Sciences and Arts

Acar and Xi Li, Berlin University of Technology

The jury:

Dr. Matthias Castorph, Götz Castorph Architekten und Stadtplaner (jury chairman)

Philipp Auer, Auer+Weber+Assoziierte

Susanna Knopp, 4architekten

Lorenz Lachauer, Nemetschek Allplan Systems

Mauritz Lüps, Atelier Lüps

Sabine Schneider, Baumeister