The need for quality assurance criteria | |
Criteria are needed to: • Provide a structured, rational, ethical, standardised, replicable and defensible approach to contextualisation; • Preserve the hallmarks of good science production that include autonomy, detachment, self-restraint, rigour, objectivity, excellence, integrity, and reliability; • Avoid conflicts of interest; • Produce plural and conditional products that explicitly communicate the “deep intractabilities” of uncertainty, ambiguity and ignorance, instead of a single, definitive, unconditional product (Stirling 2010); • Recognise and value the importance of risk-mitigation effects (i.e. outputs and outcomes); • Help end-users to make better informed risk mitigation decisions and better use of risk-mitigation arrangements; and • Facilitate fair and accurate independent review. | |
The general character of quality assurance criteria | |
Quality assurance criteria should be: • Agreed between scientists and distinct stakeholder communities; • Articulated, internalised and continually tested; • Objective; • People-focussed; and • Related the competencies needed by scientists for continuous ‘adaptation’ rather than continuous ‘improvement’ during all phases of knowledge production. Weinberg 1972; Bartley 1971; Gibbons et al. 1994; US/NRC 1996; Shackley and Wynne 1996; Grabill and Simmons 1998; Nowotny 2003; Van Nuffelen 2004; Hemlin and Rasmussen 2006; Renn 2008; Hessels and Lente 2008; Wachinger and Renn 2010; Stirling 2010; OECD 2015; Preuner et al. 2017; Scolobig et al. 2017; Papale 2017. |