Abstract
Abstract
This chapter surveys many ways in which routine practice of policy modelling is pressured—and often aims—to hide its unavoidably political dimensions. This can have a seriously regressive effect on encompassing politics, reinforcing powerful incumbents and further marginalizing less privileged interests and their favoured policy alternatives. Driven by routinely obscured forces of political justification, much modelling conceals many forms of inconvenient uncertainty, ambiguity, and ignorance. Albeit often inadvertently, this globalizing trend towards technocratic authoritarianism erodes space for reasoned deliberation by dogmatically invoking science—provoking a ‘post-truth’ backlash that further undermines democracy. By instead opening up more plural and conditional practices, policy modelling can help defuse these regressive dynamics. A wide range of methods are identified, to help prefigure, catalyse, and enact greater humility, transparency, and reflexivity about unavoidable politics and irreducible incertitudes—thus enabling policy-making to become both more scientifically rigorous and more democratically legitimate.
Publisher
Oxford University PressOxford
Reference111 articles.
1. Recent Paradigms for Risk Informed Decision Making;Safety Science,,2001
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Mathematical models: a state of exception;International Review of Applied Economics;2024-06-11