In a recent article in 探花视频, Nicholas Dirks 肠补濒濒别诲听辞苍 universities to聽take a聽lead in聽creating 鈥渁聽larger, shared culture of聽intellectual enquiry and moral evaluation鈥�. This would be a聽shared culture聽that is no聽longer split between the sciences, social sciences and the arts: between facts, values and the imagination.

I agree. Universities need to model such integrated thinking, for two reasons. First, they, of all places, should recognise the unity of all knowledge. And, second, none of today鈥檚 global challenges will be met if they don鈥檛.

Take climate change. Last month, the UN鈥檚 Intergovernmental Panel on Climate Change (IPCC) released the of its Sixth Assessment Report (AR6). But it is confined to the science of climate change; the more policy-oriented parts of the report will not follow for another six months, leaving the public with no聽sense until then of the range of mitigation and adaptation measures that are feasible.

This sequence in public reasoning raises the age-old question 鈥� applicable to many other issues, such as pandemics, artificial intelligence, human enhancement technologies and gene editing聽鈥� about the relationship between science and policy, between facts and values. In聽what way, if at all, do 鈥渢he facts鈥� revealed by science guide public policies to be pursued?

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For the past 30 years, the IPCC has pursued a science-first approach to assessing climate change. But this puts the cart before the horse. It foregrounds arguments about, for example, the veracity of models or the accuracy of weather attribution science. Systematic evaluation of the range of feasible policy measures trails far behind, and any value-based deliberation about the ethical desirability of different policies is almost completely out of聽sight.

Similar science-first tendencies have dominated the framing of public health policy during the pandemic. UK聽politicians have defensively been 鈥渓istening to the scientists鈥�, and much of the debate about Covid-19 policy has been about which model to believe or which scientific expert has the ear of the minister this week.

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But at the heart of managing a pandemic, too, are value-laden judgements about how risks should be managed ethically. As a group of public health experts has聽 with respect to Covid-19, 鈥淧ublic health policies鈥evolve around a compass of moral values, which are implicitly given different weights by policy-makers and scientific advisors鈥�. For example, the stand-off between the and the about the appropriateness of lockdowns, signed by different groups of scientists last year, was rooted in different moral values, not in different scientific facts.

Just as epidemiological models have been leading Covid-19 policy, so-called integrated assessment models (IAMs) have been central to the development of the IPCC鈥檚 鈥減olicy scenarios鈥�. Neither family of models聽is value-neutral, but you would not know this from the way their results are communicated. It is imperative for scientific modellers in both domains to be explicit about their moral and political values and the ethical choices embedded in their assumptions.

There are some obvious reasons why foregrounding explicit moral reasoning is resisted. By 鈥渇ollowing the science鈥�, politicians can hide decision-making behind ostensibly value-neutral science. And it suits scientists, too, in that it gives them the high seat at the policy table 鈥� and a ready-made argument for greater public funding for their models.

But science-first approaches place science in a false relationship with policy development and offer a disservice to society at large. With climate change, pandemics and many other pressing issues, science needs to be interpreted within a framework of the moral and political values of the cultures within which it is practised 鈥� which means scientific evidence may be interpreted differently between different political cultures.

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The obstacles to the development and implementation of climate policies are聽not epistemic. They are fully political, cultural, ethical and psychological. They do聽not result from a deficiency in scientific knowledge or public understanding of climate science. It is not the case that more and better science will pave the way (eventually) for better and easier policies.

Facts uninterpreted by values are sterile; values without facts are blind. If transnational advisory bodies such as the IPCC, or national advisory bodies such as the Scientific Advisory Group for Emergencies (Sage), cannot recognise this, then, as Dirks says, 鈥渦niversities must lead the way鈥� in breaking down two cultures thinking and the artificial walls that separate science from value judgements.

Mike Hulme is professor of human geography at the University of Cambridge and a fellow of Pembroke College. His latest book, Climate Change (Routledge, 2021) explores these questions in greater depth.