Associate Professor Naomi Barnes, QUT School of Education
Every crisis creates pressure for action. Whether the issue is housing affordability, cost of living, artificial intelligence, social cohesion, climate adaption or something else, public expectations demand policy leadership acts. People want their leaders to clearly identify the problem and announce a solution. There is an innate desire for stability that assumes a carefully and logically crafted policy will make a significant difference to uncertainty.
Unfortunately, the challenges of our time rarely fit this model.
We are increasingly confronted with what academics and commentators describe as a polycrisis or permacrisis. This is a condition where multiple social, economic, political and environmental pressures overlap and interact. Problems cannot be isolated and surgically removed. The outcome of such action is sometimes worse than the original crisis. Because crises are interconnected the consequences are difficult to predict, the decisions are under pressure from competing values. Basically, policy work in times of crisis can draw on very little in the way of clear-cut answers.
The future of governing must include policy leadership; decision making that demonstrates a capability for exercising judgement, not simply applying technical solutions from a limited repertoire of processes.
Until now, the belief that more information will lead to better judgements has dominated how decisions are made about social challenges. It makes sense – gather the evidence, identify the best practice through data about what works and what does not, and apply the solution. This approach has achieved enormous progress and evidence-informed policy making remains essential.
Current challenges, however, are revealing the limits of these technical approaches and the quality of the evidence informing policy.
The question behind the question
Sliding literacy and numeracy scores are not simply an education question. They are also questions about social equity, family stability, community resources, digital media access and consumption, teacher workforce pressures, health and wellbeing, and the kinds of societies we imagine for young people. Housing is not just an economic uncertainty; it is a social equity, community wellbeing and environmental sustainability uncertainty. Artificial intelligence is not merely technological. It raises concerns about employment, responsibility, creativity and power. Climate adaption needs more than engineering and infrastructure. It requires decisions about whose interests are prioritised, what risks are acceptable and what future a community wants to build.
These are questions of judgement.
This is why policy decision-makers must have interdisciplinary knowledge to know not just how the crisis looks now, but where it has come from, what is shaping it and what diverse solutions are possible.
Problems are experienced locally, long before they are measured systematically.
Policy work is not about the implementation and enactment of solutions. Policy begins much earlier. Before a government can solve a problem, it must decide what kind of problem it is. Is youth crime primarily a policing issue, a social issue, an economic issue, an educational issue? Is declining trust in institutions a communication problem or a governance issue? Chances are it is something much deeper.
The challenge for policy makers is how the problem is defined influences what solutions are made possible.
Because contemporary governance operated in increasing uncertainty, the natural response is to look around the world for solutions. The Australian government has looked to international organisations, think tanks with global syndication, advocacy groups and professional networks with worldwide oversight and experiences across jurisdictions. This circulation of knowledge is valuable. Societies should learn from each other. But this creates a belief that social problems can be understood through comparison, measurement and transfer from one jurisdiction to another.
But problems are experienced locally, long before they are measured systematically.
The view from the ground
To do this is to govern from a distance. The further policy actors are removed from the everyday realities of a crisis, the more likely they see abstract categories for intervention. What looks like a literacy crisis, an attendance crisis or a productivity crisis from afar may look very different to the communities living it. Observing a phenomenon is very different from understanding it.
Besides, no amount of information, no matter how valuable, can remove the need for judgement.
Best practice can tell us what worked well before. It cannot tell us what should be done when circumstances are unprecedented, values are in conflict or futures remain uncertain. A policy that succeeds in one community may not succeed in another. A solution designed for one problem may create unintended consequences elsewhere.
The task of contemporary policy makers is recognising the limits of expertise, not abandoning it.
Ancient philosophers described this capacity as phronesis, or practical wisdom: the ability to make sound judgements when rules alone are insufficient. It involves understanding context, weighing competing considerations and acting responsibly when there is no perfect answer.
At a time when public policy is focused on artificial intelligence, this may seem old-fashioned. But the central problem facing democratic societies has changed very little. Technologies of governance come and go. New systems promise greater efficiencies and more accurate predictions with better data. But they cannot determine what societies value, what trade-offs are acceptable or what responsibility we owe each other.
These decisions are human.
About the artwork
The Escher cube (or impossible cube), depicted in the illustration by QUT Bachelor of Design graduate Lucy Schramm, is a metaphor for how certain problems may appear simple at first glance (a straightforward cube, as depicted on the left), then impossible upon closer inspection (the impossible cube in the centre), then understood in their complexity when observed from a new perspective (the question marks emerging from the cubes on the right).
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