Abstract

This chapter examines three characteristics of environmental sciences—prediction, replication and the use of models—to explore their dissonance with the traditional representation of science. While ‘Science’ is often idealised as objective, universal, and context-independent, environmental sciences operate in ways that do not fit into these assumptions. The chapter draws on Bruno Latour’s distinction between ‘Science’ and ‘sciences’ to argue that environmental sciences, with their inherent uncertainties, local contexts, and interdisciplinary methods, conflict with the image of science as a monolithic and universally reliable source of knowledge. Referring to case studies, the text explores how environmental sciences craft complex, interconnected systems that defy the reproducibility and predictability often associated with ‘Science’. This dissonance, maintains, has led to issues such as climate denialism and the politicisation of scientific knowledge. From this perspective, a call is made for a revaluation of how environmental sciences are represented in both public and policy arenas, calling for a more nuanced understanding of their provisional, context-specific nature and for educational reforms that help the public better grasp the complexities of scientific knowledge production.