Why this matters now
Modern societies organise knowledge through specialisation.
There are good reasons for this.
Deep expertise requires years of study, specialised methods, technical language and communities capable of maintaining standards.
The problem is not specialisation.
The problem is assuming that reality is structured in the same way as the university.
It is not.
A water problem may simultaneously involve engineering, ecology, economics, public policy, behaviour, law, trust and culture.
A technology can work technically and fail socially.
A regulation can be coherent on paper and impossible to implement operationally.
A financially efficient solution can create unacceptable environmental costs.
A perfectly designed service can fail because users do not understand or trust it.
Real-Life Readiness describes this mismatch directly: societies organise knowledge into subjects, credentials and roles, while real life combines domains, creates interdependence and puts people in situations with others who know different things.
Interdisciplinarity is a response to that mismatch.
It does not weaken disciplines.
It asks them to become capable of meeting.
What interdisciplinarity actually means
For this framework, interdisciplinarity is the process through which knowledge from different fields is connected in order to understand, decide or act on a problem that exceeds the explanatory reach of any single field.
Connection is the critical word.
Consider a team containing:
an engineer;
a lawyer;
a psychologist;
a designer;
an economist;
a communicator.
That team is diverse.
But it may still work almost entirely through disciplinary silos.
The engineer develops the technology.
The economist calculates the costs.
The lawyer writes the legal section.
The designer prepares the interface.
The communicator presents the final result.
The contributions sit beside one another.
Interdisciplinarity begins when one field changes another.
User behaviour requires an engineering change.
A legal constraint changes the business model.
Environmental evidence forces a redesign.
A cost constraint alters the technical architecture.
A communication problem reveals that the proposed system is not understandable enough to be adopted.
The fields stop functioning as independent service providers.
They begin to form a shared knowledge system.
- Disciplinary depth
- Different lenses
- Limits
- Translation
- Disagreement
- Evidence
- Integrated understanding
- Shared decision
- Action
Multidisciplinary composition is not yet interdisciplinary work
An operational distinction is useful.
Multidisciplinarity asks: which disciplines are present?
Interdisciplinarity asks: what happens between their knowledge?
A team may satisfy a diversity requirement while remaining fundamentally parallel.
Each person contributes a section.
The sections are assembled at the end.
Nothing one field discovers materially changes the others.
An interdisciplinary team behaves differently.
Questions cross boundaries.
Assumptions become visible.
Language has to be translated.
Different standards of evidence have to be understood.
A finding in one domain changes a decision elsewhere.
Mars Challenge institutionalises the first condition. From the national stage onwards, official rules require teams to include at least three different areas of knowledge, which may span scientific, technological, humanistic, artistic, social or economic fields.
That produces multidisciplinary composition.
Pedagogical design must then turn composition into interaction.
| Multidisciplinary | Interdisciplinary |
|---|---|
| Different fields are present | Different fields interact |
| Contributions remain parallel | Contributions alter one another |
| Tasks are divided | Understanding is co-constructed |
| Integration happens at the end | Integration happens throughout |
| Addition | Transformation |
Start with the problem, not the departments
One way to construct cross-disciplinary work is to begin with organisational structure:
“We have engineering, business and design. What can they do together?”
A stronger approach is often to begin with the problem:
“What knowledge does this situation actually require?”
Now disciplines have to justify their relevance to the shared object.
Mars Challenge uses precisely this framing. Its communication architecture positions the programme as a setting where the whole university can work on problems no single degree can solve alone, explicitly naming management, law, psychology, education, international relations, communication, design, health, social sciences, humanities and engineering among the relevant fields.
The problem becomes the centre of gravity.
Disciplines become lenses around it.
This is more than a symbolic change.
It shifts authority from organisational categories to the demands of the situation.
Disciplines are lenses, not just bodies of content
A discipline contains knowledge.
It also contains habits of attention.
Methods.
Standards.
Questions.
Concepts.
Assumptions.
Engineering may ask:
Will it work?
Economics:
Can it be sustained?
Law:
Under what rules is it legitimate?
Psychology:
How will people behave?
Design:
Can people use it?
Communication:
Can people understand and trust it?
Environmental science:
What happens to the surrounding system?
Ethics:
What should we be willing to do?
Each question reveals something.
None contains the whole problem.
This suggests a useful way to understand disciplinary diversity:
it is a distributed sensing system for complexity.
Different disciplines make different parts of reality visible.
- Engineering
- Law
- Psychology
- Economics
- Design
- Communication
- Environment
- Ethics
Expertise includes knowing where expertise ends
Deep disciplinary knowledge creates capability.
It can also create confidence that a familiar model is the correct frame for every problem.
Interdisciplinary readiness requires another form of expertise:
recognising the boundary of one's own authority.
Real-Life Readiness states this explicitly. Being prepared does not require everyone to become a generalist. It requires enough breadth to recognise when a problem crosses disciplinary boundaries, enough disciplinary grounding to distinguish robust knowledge from plausibility, and enough humility to bring in knowledge one does not possess.
An expert does not become less valuable by saying:
“This part is outside my field.”
Quite the opposite.
Knowing when another form of expertise is needed is itself a form of judgement.
Translation is real intellectual work
Disciplines develop specialised vocabulary because precision matters.
But precision within a discipline can create opacity between disciplines.
Words such as:
risk;
impact;
efficiency;
validation;
safety;
value;
resilience;
may carry different meanings and measurement practices in different fields.
Interdisciplinary teams therefore require translation.
Real-Life Readiness describes this directly: experts must explain complexity to non-experts; technical teams must understand ethical and cultural implications; decision-makers must reconcile evidence arriving in different forms. Collaboration is therefore not merely getting along with others. It requires making knowledge travel.
Useful translation questions include:
What exactly do you mean by that term?
How do you know?
What evidence would your field normally require?
What assumption is built into the model?
How certain are you?
What should people outside your field understand before using this conclusion?
Translation does not reduce expertise.
It makes expertise usable by others.
- What do we know?
- How do we know it?
- What are we assuming?
- How certain are we?
- Where does our expertise stop?
- What do we need from another field?
A common language must not become intellectual flattening
Teams often seek common language to make collaboration easier.
That is useful.
But there is a danger.
If every distinction is removed for the sake of agreement, important differences disappear.
Not every type of knowledge answers every type of question equally well.
A technical measurement is not replaced by a preference.
A legal interpretation does not establish a biological fact.
User experience evidence cannot override a physical constraint.
A mathematical optimisation cannot independently settle an ethical conflict.
Interdisciplinarity therefore requires two commitments at once:
openness to different knowledge
and
standards appropriate to the claim being made.
Real-Life Readiness captures this balance through CONNECT: integrate without erasing differences, and avoid connection without evidence standards becoming indiscriminate synthesis.
The goal is not to make every discipline sound the same.
It is to make them interoperable.
Disagreement can improve the model
True interdisciplinary work often creates friction.
That is not surprising.
Different disciplines optimise different things.
An engineer may prioritise performance.
An economist, cost.
A designer, accessibility.
A lawyer, legitimacy.
An ecologist, system limits.
A psychologist, behavioural realism.
These priorities can collide.
A weak team treats this as a social problem:
“Can everyone compromise?”
A stronger team treats it as information:
“What dimension of the problem is each disagreement revealing?”
Then the conversation can move toward evidence.
What claim is being made?
What method supports it?
Under what conditions is it valid?
What would happen if we ignored it?
Some disagreements will be resolved.
Others may remain as uncertainty.
That is also valuable.
A good interdisciplinary decision does not need to pretend uncertainty has disappeared.
Integration becomes visible when the team has to decide
Conversation alone does not guarantee integration.
Decisions do.
When the group has to select an option, different forms of knowledge can no longer remain entirely separate.
Which solution do we build?
Which risk is acceptable?
Which constraint is non-negotiable?
What evidence is strong enough?
What trade-off are we making?
Who bears the cost?
What happens if our preferred assumption is wrong?
Now disciplinary contributions have to enter a shared decision architecture.
This links interdisciplinarity with Agency.
Interdisciplinarity helps construct a richer map.
Agency asks the group to choose a route through it.
Without the first, the decision may be narrow.
Without the second, integration may remain an interesting conversation with no consequence.
Prototypes create an integration surface
A shared object forces disciplines to meet.
It may be:
a physical prototype;
a service model;
a policy proposal;
a simulation;
a business model;
a communication system;
an intervention.
Once something concrete exists, hidden contradictions become more difficult to avoid.
Is the technology affordable?
Does the legal framework permit the proposed process?
Will people understand the interface?
Does the user behaviour assumed by the model make sense?
Where does the environmental cost appear?
Who maintains the system?
How is success measured?
The prototype becomes an integration surface.
Different forms of expertise can point to the same object and show how it needs to change.
This is one reason challenge-based environments can be particularly powerful for interdisciplinary work.
Knowledge has somewhere to meet.
The deepest result may be a better problem
Teams often assume their purpose is to produce a better answer.
Interdisciplinary work can do something even more fundamental.
It can produce a better question.
A team may begin with:
“How do we build this technology?”
After other disciplines enter, the problem becomes:
“How do we create a system that achieves this outcome while remaining usable, affordable, legitimate and environmentally viable?”
The second question is harder.
It is also closer to reality.
This is a defining feature of complex problems.
They are difficult not only because answers are hard to find.
They are difficult because the problem itself must be continuously reframed as new knowledge enters.
Interdisciplinarity expands what the team is capable of noticing.
Interdisciplinarity is not the opposite of disciplinary identity
There is no useful interdisciplinarity without disciplines.
If everyone possesses only shallow familiarity with every area, integration risks becoming unsupported synthesis.
Real-Life Readiness makes the relationship explicit: disciplinary depth and interdisciplinary judgement are complementary. Its CONNECT dimension also warns against integration without evidence standards.
A useful formulation is:
depth to contribute; breadth to recognise boundaries; translation to communicate; humility to integrate; judgement to decide.
The aim is not to dissolve specialised expertise.
It is to make specialised expertise capable of participating in a larger system.
What interdisciplinarity is not
It is not putting several departments on a programme brochure.
It is not assigning one section of a project to each degree.
It is not asking specialists to abandon expertise.
It is not making everyone a generalist.
It is not continuous consensus.
It is not accepting every perspective as equally appropriate to every claim.
It is not adding design, ethics or communication after the core solution has already been completed.
And it is not guaranteed by team diversity.
Diversity creates the possibility.
Interdisciplinarity describes what the team does with that possibility.
What the evidence says
The supplied Mars Challenge corpus supports several components of this model.
Conceptual foundation. Real-Life Readiness describes human preparation as relational. People encounter other disciplines, cultures, experiences and forms of knowledge, and preparedness includes translation, verification and co-creation across those differences.
Its CONNECT dimension explicitly requires people to relate disciplines and forms of knowledge, translating and integrating without erasing differences.
Institutional architecture. Mars Challenge frames its learning environment around problems that no single degree can solve alone and positions disciplines across the university as potentially relevant to the same challenge.
Operational architecture. From the national stage onward, official rules require teams to represent at least three distinct areas of knowledge.
Together, this shows that disciplinary diversity is deliberately built into the programme.
It does not, by itself, establish that every team achieves deep integration. That would require dedicated observation and measurement.
What we observe at Mars Challenge
A documented Portuguese case illustrates how disciplinary identity can expand when placed inside a different problem.
A team composed of participants from animation, psychology, communication and design — with no dominant technical field — developed one of the highlighted international projects. Through the challenge and jury questioning, members began recognising applications of their disciplines in areas such as mission user experience and science communication.
The lesson is not that technical disciplines are unnecessary.
It is that the apparent ownership of a problem can be misleading.
Knowledge that appears peripheral from outside a challenge can become essential once the problem is understood more completely.
A second first-party case operates at institutional level. A university in Costa Rica whose departments had historically worked relatively independently had to coordinate them around Mars Challenge implementation. The internal account reports that some of the resulting cohesion transferred into other university projects.
These are qualitative field observations, not causal trials.
They nevertheless illustrate an important possibility:
interdisciplinarity can change both how individuals perceive the relevance of their knowledge and how institutions connect structures that normally remain separate.
What this means for educators and universities
The central design implication is straightforward:
do not design diversity alone; design knowledge interdependence.
If the engineer can complete the entire challenge without meaningfully needing the lawyer, psychologist, designer or communicator, the team may be diverse but its work is not deeply interdisciplinary.
Good interdisciplinary environments create reasons for disciplines to need one another.
They also create translation spaces.
Moments of disagreement.
Shared evidence reviews.
Joint decisions.
Common artefacts.
Reflection on what changed.
Educators can ask:
What does each discipline see?
What does each one miss?
Where do their definitions differ?
Which assumptions conflict?
What evidence does each field consider strong?
Where must the team make a trade-off?
Which part of the solution changed because another discipline entered the conversation?
Institutions can ask an even more important question:
Are students merely studying beside other disciplines, or learning how to think with them?
The distinction matters.
The world does not need fewer experts.
It needs experts who know how to place their expertise inside problems larger than their own field.
Related concepts
Challenge-Based Learning Real-Life Readiness CONNECT Agency Epistemic Judgement
Evidence in practice
Mars Challenge multidisciplinary team architecture
Portugal multidisciplinary team case
Costa Rica institutional collaboration case
Frequently asked questions
Are multidisciplinarity and interdisciplinarity the same?
Not in this framework. Multidisciplinarity describes the presence of several disciplines. Interdisciplinarity describes integration among them. A team can contain five disciplines and still work as five parallel contributors. Interdisciplinarity begins when one field's knowledge changes how the others understand or act on the problem.
Does interdisciplinary learning require less specialisation?
No. It requires meaningful expertise to integrate. The additional capability is recognising the limits of one's expertise, translating it and understanding when another type of knowledge is needed. Disciplinary depth and interdisciplinary judgement strengthen one another.
Why do complex problems require multiple disciplines?
Because they often contain technical, human, economic, environmental, legal and ethical variables at the same time. A solution can perform extremely well on one dimension and fail because another dimension was never included in the model.
How can experts develop a shared language?
Not by eliminating specialised terminology, but by translating it. Each field can explain what it means, what evidence supports a claim, how confident it is, what assumptions are involved and what people outside the field need to understand before using the conclusion.
Is disagreement a problem in interdisciplinary teams?
Not automatically. It may indicate that different parts of the system are becoming visible. Productive disagreement makes the underlying assumptions, evidence and values explicit. Problems arise when disagreement is suppressed, personalised or resolved purely through hierarchy.
How can we tell whether integration really happened?
Ask what changed. Did another discipline alter the problem definition, prototype, decision or evaluation criteria? Did participants revise their assumptions? If each discipline's contribution could be removed without changing the rest of the solution, integration was probably limited.
Can AI replace interdisciplinary teams?
AI can support translation and rapidly surface knowledge from multiple domains. It does not remove the need to judge source quality, identify missing context, reconcile conflicting values, involve genuine domain expertise and remain accountable for consequences. Fast synthesis is not automatically rigorous integration.
References
Real-Life Readiness — A Foundational Framework Adelino Sousa / Mars Challenge / Virtual Educa, 2026.
Mars Challenge — Global Communication Architecture v0.1 Mars Challenge, 2026.
Official Programme Rules — Mars Challenge 2026 Mars Challenge, 2026.
Mars Challenge — Why It Is Different Mars Challenge, 2026.
How to assess Interdisciplinary Learning without averaging subjects
Interdisciplinarity is not demonstrated by listing many fields or averaging subject grades. It becomes visible when different forms of knowledge change how a problem is interpreted, which decision criteria matter or how a solution is designed.
Assessment can preserve disciplinary rigour while observing integration separately. The record should show the contribution, tension among perspectives and resulting decision; disciplines do not need identical weight.
| Object | Question | Evidence |
|---|---|---|
| Disciplinary rigour | Was the source or method used correctly? | Calculation, analysis or reference. |
| Contribution | What did this discipline make visible? | New criterion or constraint. |
| Integration | How did the shared decision change? | Alternatives before and after. |
| Limit | What remains outside scope? | Declared gap. |
Hypothetical example: technical data favours one option, but social analysis reveals an access barrier. The team revises the design and records how both perspectives changed the decision.
How can you tell whether a team integrated disciplines in a shared decision?
Interdisciplinary Learning requires more than splitting tasks by degree programme. Integration can become visible when one contribution changes another discipline’s question, criterion or choice. As an editorial practice, we propose a shared decision with a record of contributions and disagreements.
Choose a concrete problem that makes perspectives meet. Each participant explains what their field can establish, what it cannot and what information they need from others. Close the decision only after making constraints across fields explicit.
CHARM-EU’s educational principles provide an external reference for connecting knowledge. The proposal below neither reproduces its curriculum nor demonstrates Mars Challenge effectiveness. Preserve disciplinary depth and allow disagreements that need further inquiry; quick consensus does not measure interdisciplinarity.
| Perspective in the example | Contribution to the decision | Change another field needs to consider |
|---|---|---|
| Engineering | Operating conditions and possible failures. | The design must accommodate maintenance and actual use. |
| Health and human experience | User needs and limitations. | The technical solution may need a different interface. |
| Sustainability and organisation | Resources, disposal and continuity. | The material or operating model may need to change. |
Hypothetical example: a team designs a hydration station. Its decision changes when maintenance, accessibility and resources are considered together. The record shows which contribution changed which choice, without attributing results to a real team.
Explore next
What Is Challenge-Based Learning? Why Knowing Is Not Enough to Act What Is Real-Life Readiness?
Next step
Deepen: Explore CONNECT, Agency and Real-Life Readiness. Proof: See how multidisciplinary Mars Challenge teams work on problems no single field can solve alone. Action: Discover how an institution can activate an interdisciplinary Mars Challenge experience.