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Case studies
Use three questions to look at a changing system
*The three questions support a reasoned description. They do not produce a score or a final ranking.*
The river
*Biological*
Water, banks, soil and living beings form a changing system. The river connects different habitats.
Autonomy: how far can the system shape its own development?: The river’s course is shaped by slope, water supply and its interaction with the riverbed. An analysis must clarify in what sense these processes form an organisation of their own.
Connectivity: which relationships support or limit it?: The river connects habitats and carries materials between them. An intervention at one point can therefore affect places far away.
Persistence: how can it continue through change?: A river can change its bed while continuing as a connected system. The question is which processes support its further development.
Risk: Interventions can change water flow, the movement of living beings and the development of the banks.
Fungal network (mycelium)
*Biological*
Mycelium is a network of fungal threads. It grows through its surroundings and, depending on the species, relates to other living beings in different ways.
Autonomy: how far can the system shape its own development?: Growth and metabolism are organised within this living system. Its dependencies must be examined for the particular fungus, rather than assumed for every species.
Connectivity: which relationships support or limit it?: Connections can enable exchange and affect other living beings. Their effects cannot be inferred simply from how many connections there are.
Persistence: how can it continue through change?: The network can change and renew itself. Which parts matter for its continuation depends on the species and its environmental conditions.
Risk: Changes to the soil can affect the conditions that sustain the network and its relationships.
Coral reef
*Biological*
A coral reef develops through interactions among living beings and their environment. It provides habitat while depending on particular conditions itself.
Autonomy: how far can the system shape its own development?: Many interconnected living processes sustain the reef. Its own organisation remains dependent on environmental conditions.
Connectivity: which relationships support or limit it?: Different species find food, shelter and habitat there. An analysis asks which relationships support this connected system.
Persistence: how can it continue through change?: The reef can continue only if building and renewal remain possible. Its age alone tells us little about how it can respond to new pressures.
Risk: Changing environmental conditions can damage relationships that support the reef.
Bitcoin network
*Technical*
Many computers maintain a distributed record of transactions under shared rules. The network needs technology, energy and participants.
Autonomy: how far can the system shape its own development?: Rules are implemented in technology and sustained by participants. The analysis asks who can bring about changes and how influence is distributed.
Connectivity: which relationships support or limit it?: The network connects participants with technical and economic systems. Burdens outside the network also belong in the analysis.
Persistence: how can it continue through change?: The record continues while the necessary processes and resources remain available. It is also important to examine how the network can respond to changed conditions.
Risk: Dependencies on energy, technical infrastructure and the distribution of influence can shape its further development.
Automated factory
*Technical*
Machines, controls and working routines operate together. A factory can respond independently on site while depending on long supply chains.
Autonomy: how far can the system shape its own development?: Which disruptions can the factory handle itself, and when must people intervene? Managing a task independently is different from setting purposes of its own.
Connectivity: which relationships support or limit it?: Suppliers, workers, customers and energy provision support the factory. The quality of these relationships must be examined alongside its internal operations.
Persistence: how can it continue through change?: Maintenance, knowledge and the possibility of reorganisation help determine whether the factory can continue when requirements change.
Risk: Supplier failures, lost repair knowledge or outdated equipment can disrupt its operation.
The internet
*Technical*
Many networks are connected through shared technical rules. People and institutions use them for communication, knowledge and other activities.
Autonomy: how far can the system shape its own development?: Many operators and institutions take part. The analysis asks where decisions and dependencies are concentrated, rather than assuming there is no central control anywhere.
Connectivity: which relationships support or limit it?: The internet supports connections between very different paths. Who has access, and under which rules, is an essential part of its assessment.
Persistence: how can it continue through change?: Distributed structures can provide alternative routes. Continuation nevertheless requires maintenance, energy, cooperation and the further development of shared rules.
Risk: Outages, restrictions on access and concentrated control can change what people and systems are able to do.
Person using a medical implant
*Hybrid*
An implant can support bodily functions. Its use connects a person’s possibilities for action with technical conditions.
Autonomy: how far can the system shape its own development?: Does the technology extend the person’s room to act? Who can change its settings, and which decisions remain with the person?
Connectivity: which relationships support or limit it?: The connection includes care, maintenance and manufacturers. These relationships can provide support and create dependencies at the same time.
Persistence: how can it continue through change?: Continuation depends on biological and technical conditions. What a failure would mean depends on the particular device and the function it serves.
Risk: Maintenance, reliability and control over the device can be crucial for the person using it.
Connected city
*Hybrid*
Sensors and software connect activities such as transport, services and administration. Their use changes how people can use and help shape the city.
Autonomy: how far can the system shape its own development?: Who sets the rules, who can object and who can intervene? Technical self-regulation and residents’ participation must be examined separately.
Connectivity: which relationships support or limit it?: Connections can make everyday operations easier and create new dependencies. Efficiency alone does not describe the quality of these relationships.
Persistence: how can it continue through change?: The city needs knowledge, reliable operation and ways to correct decisions. Can it remain capable of acting without a particular provider?
Risk: Misuse of data, technical failures and decisions that are difficult to challenge can limit people’s possibilities.
Data-informed medicine
*Hybrid*
Medical decisions can draw on different kinds of data about a person. The analysis examines how treatment, knowledge and technology work together.
Autonomy: how far can the system shape its own development?: Which decisions can patients and clinicians make on an informed basis? Technical support must be distinguished from responsibility for a decision.
Connectivity: which relationships support or limit it?: Using data connects care, research and technical services. Access, consent and the effects of these relationships belong in the analysis.
Persistence: how can it continue through change?: Knowledge and care need to remain available when equipment or providers change. Long-term responsibilities matter for this continuity.
Risk: Unsuitable data, biased analysis or lost confidentiality can harm the people concerned.
KIKOLAUS
*Hybrid*
Nikolaus Reinelt and AI work together on texts and analyses. Human purposes, review and responsibility are combined with technical capabilities.
Autonomy: how far can the system shape its own development?: Nikolaus determines the direction and takes responsibility for release. The analysis asks whether the collaboration strengthens independent judgment or replaces it.
Connectivity: which relationships support or limit it?: The work connects sources, drafts and critical questions. Useful connections need reasons that others can examine and check.
Persistence: how can it continue through change?: Documentation, retained knowledge and tools that can be replaced support continuation beyond individual sessions.
Risk: Dependence on providers and insufficiently checked results can weaken the work.
Language
*Social*
People speak, understand and change a language. Rules and meanings are passed on without one authority determining every use.
Autonomy: how far can the system shape its own development?: The language community sustains and changes usage. Institutions and power relations also influence which forms are recognised.
Connectivity: which relationships support or limit it?: Language enables shared activities and the passing on of experience. Who can participate and who is excluded belongs in the analysis.
Persistence: how can it continue through change?: New words and meanings can support continuity. Records preserve traces; continued use carries the language’s further development.
Risk: Declining use and transmission can lead to the loss of ways of expressing experience and sharing knowledge.
University
*Social*
Research, teaching and shared procedures for checking claims sustain a university. Its continuation also depends on passing on knowledge and addressing errors.
Autonomy: how far can the system shape its own development?: How freely can research questions be chosen and findings examined? Formal independence must be compared with the actual conditions of work.
Connectivity: which relationships support or limit it?: Teaching, research and public life depend on varied relationships. Their quality includes whether criticism can have a real effect.
Persistence: how can it continue through change?: A university’s name can survive while its capacities weaken. Passing on knowledge and renewing its work therefore matter alongside its outward survival.
Risk: One-sided dependencies or the loss of knowledge and freedom can weaken these capacities.
Wikipedia
*Social*
Many participants write, check and revise a shared reference work. Rules and procedures help them handle contributions and disagreements.
Autonomy: how far can the system shape its own development?: Who can help shape the rules and challenge decisions? The distribution of influence belongs to the question of how the project organises itself.
Connectivity: which relationships support or limit it?: The project connects contributions and sources for many readers. Openness also requires ways of dealing with errors and disagreements.
Persistence: how can it continue through change?: Continuation needs active maintenance, knowledge, technical resources and new contributors. The existing collection alone does not secure these conditions.
Risk: Too few contributors, unequal participation and difficulties checking claims can weaken the quality of the work.