Skip to content
The photo shows a zebra crossing from above with people crossing the street, representing citizen participation in data-driven processes.
07 August 2024| doi: 10.5281/zenodo.13268482

Participation in smart cities

How can we create smart cities that place the needs of their citizens first? The automated processing of large data sets offers numerous opportunities for the design and development of urban infrastructure. However, for a common good-oriented processing of data, the interests of various stakeholders in urban societies must be taken into account. This blog article examines the contribution that citizen participation can make in data-driven processes and the challenges that must be overcome for successful participation.

In the development of a city into a smart city, data plays a central role. Public administrations can use it, for example, for planning municipal measures. It is also helpful for developing digital citizen services or the intelligent control of urban infrastructure. Therefore, the automated processing of large data sets offers many possibilities for the design and development of cities. At the same time, it also holds potential for conflict. This is because the perceived benefits and risks of data collection or processing can vary significantly between different interest groups in urban societies. These groups consist of relevant actors such as politicians, public administration employees, researchers, citizens, or companies. They collect and process data to gain new insights, develop innovative solutions, and make decisions. Civil society actors are often directly affected by the impacts of data-based measures and can therefore contribute valuable perspectives to the initiatives.

To make data-driven administrative actions possible in this area of tension, it is necessary to involve all interest groups in the processes. The following text focuses on the participation of citizens. The core idea is that affected citizens need access to information about data-driven processes to be able to contribute and co-design. In this way, they can contribute to protecting the affected and to the common good of society as a whole.

What do we mean by participation and what is its purpose?

Participation is a versatile term that is gaining increasing importance in political processes. Participation can contribute to opinion formation and decision-making, increase the acceptance of initiatives, and/or improve the efficiency of a procedure. Citizens have the opportunity to participate at the municipal, state, federal, and even EU level. In various formats, they can discuss urban development projects, public transport planning, or environmental initiatives. In data-driven projects, it is particularly important that citizens are able to understand a range of decisions: How are data collected and/or processed? What conclusions can be drawn from it? How do these conclusions lead to derived measures?

The Institut für Partizipatives Gestalten distinguishes between three progressive levels of participation, with varying degrees of actual speaking and decision-making power:

  • Informative Participation: This refers to providing information about decisions, projects, or political developments. The main goal is to ensure transparency and to keep citizens informed. This can be achieved through various communication means such as websites, brochures, press releases, or public meetings. For instance, the Federal Ministry of Finance (BMF) provides detailed data on federal revenues and expenditures online, promoting transparency about the federal budget. Similarly, many German cities like Berlin and Munich provide information on ongoing and planned construction projects without directly involving citizens in the decision-making process.
  • Deliberative Participation: This involves actively including citizens in debates, allowing them to present their perspectives and engage in joint discussions. The aim is to foster democratic legitimacy and understanding between citizens and decision-makers. A well-known example in Berlin is the Beteiligungsplattform Tempelhofer Feld, where citizens can contribute their concerns about measures, changes, and key projects on the Tempelhofer Feld (a public park).
  • Collaborative Participation: This entails active collaboration between citizens and decision-makers, such as politicians or urban planners, in the design and implementation of projects. By involving citizens in all phases of the decision-making process and developing solutions jointly, acceptance for decisions is increased. For example, in various Berlin neighbourhoods, there are neighbourhood management programmes where citizens work together with urban planners and the administration to improve their neighbourhoods.

Who should be involved?

In the context of a measure, all stakeholders who are affected by the collection and/or processing of data or by the impacts of a data-driven decision should be involved. In relation to data in smart cities, this means that citizens, economic actors, as well as politics and administration, should engage in dialogue. It can be challenging for citizens to comprehend data-driven decisions made by an administration. This is because the collection, processing, and interpretation of data is based on complex analyses and technologies, requiring technical knowledge and expertise that citizens do not always possess. Through participation, knowledge can be shared among actors, and information deficits can be balanced. This also ensures transparency in the communication of a decision and its basis. The risk that conflicts of interest might later be settled in court and planning decisions subsequently reversed can be reduced through early participation.

How is participation implemented?

In many administrative procedures, a so-called formal participation is legally required. This specifies, for example, in which cases citizens must be informed about a project and where they may submit ideas, as well as what mechanisms they can utilise to challenge decisions. Such formal participation, in its current form, can only partially address particularly complex or emotional issues. Formal participation is clearly defined in its scope and handling of the results. To address the particular complexity of data, formal participation should be reinterpreted and supplemented by informal methods. The Administrative Procedure Act provides sufficient leeway for this in § 10.

Especially when introducing a new data-driven measure, participation should be an integral part of the process from the outset. The level of participation can vary during the process. A deliberative process always has informative components. While conflicts of interest can be resolved through information in some phases, deliberative or collaborative formats are required in others. Regardless of the current phase of the process, a presentation of the overall process, all processed data, and the derived information should be made permanently accessible to enable all participants to meet on equal terms. This is a crucial prerequisite for fulfilling the transparency requirement and thus for effective democratic control by citizens as sovereigns (Art. 20 II GG).

What is needed for successful participation in a smart city?

If citizens do not understand the background, processes, and decisions of data-driven projects, this can lead to resistance against the measures. Conflicts of interest between different groups in a city, which arise, for instance, when road space is redistributed in favour of one mode of transport, can be addressed and ideally resolved through participation. For example, by analysing traffic data, the emission of air pollutants by individual modes of transport can be simulated, and a traffic measure to promote less polluting modes of transport can be developed. To weigh the potential risks (e.g., conflicts between drivers and cyclists when reallocating lanes) against the possible benefits (such as clean air for everyone), citizens need to understand the following points:

  • Who is involved in the process from concept development to implementation, and who is allowed to decide on what?
  • On what data is such an analysis based, and who collected these data?
  • At what point can citizens potentially contribute their own concerns or data to the process?

These questions must be answered as part of an information strategy. Such an information strategy is the foundation for managing the complexity of data-driven project processes. The information strategy or accessible information platform frames the individual participation formats and shows where and how the obtained results are further processed. Moreover, it enables all participants (including citizens, public administration employees, businesses, and politicians) to contribute informed input into a process, represent their interests, and thus jointly resolve conflicts of interest.

This post represents the view of the author and does not necessarily represent the view of the institute itself. For more information about the topics of these articles and associated research projects, please contact info@hiig.de.

Alexandra Auer

Researcher: Data & Smart City Governance

Maurice Stenzel

Research Coordinator: Data & Smart City Governance

Sign up for HIIG's Monthly Digest

HIIG-Newsletter-Header

You will receive our latest blog articles once a month in a newsletter.

Explore Research issue in focus

Digitalisation and sustainability

In terms of sustainability, digitalisation faces countless opportunities and challenges. We explore how technology is used responsibly.
Du siehst eine Tastatur auf der eine Taste rot gefärbt ist und auf der „Control“ steht. Eine bildliche Metapher für die Regulierung von digitalen Plattformen im Internet und Data Governance. You see a keyboard on which one key is coloured red and says "Control". A figurative metaphor for the regulation of digital platforms on the internet and data governance.

Data governance

We develop robust data governance frameworks and models to provide practical solutions for good data governance policies.

Further articles

Three groups of icons representing people have shapes travelling between them and a page in the middle of the image. The page is a simple rectangle with straight lines representing data used for people analytics. The shapes traveling towards the page are irregular and in squiggly bands.

Empowering workers with data

As workplaces become data-driven, can workers use people analytics to advocate for their rights? This article explores how data empowers workers and unions.

A stylised illustration featuring a large "X" in a minimalist font, with a dry branch and faded leaves on one side, and a vibrant blue bird in flight on the other. The image symbolises transition, with the bird representing the former Twitter logo and the "X" symbolising the platform's rebranding and policy changes under Elon Musk.

Two years after the takeover: Four key policy changes of X under Musk

This article outlines four key policy changes of X since Musk’s 2022 takeover, highlighting how the platform's approach to content moderation has evolved.

The picture shows a tractor cultivating a field from above. One side of the field is covered in green, the other is dry and earthy. This is intended to show that although sustainable AI can be useful in the fight against climate change, it also comes at a high ecological cost.

Between vision and reality: Discourses about Sustainable AI in Germany

This article explores Sustainable AI and Germany's shift from optimism to concern about its environmental impact. Can AI really combat climate change?