Background: ‘Co-production’ is one of the key concepts in evidence-informed policy and practice – in terms of both its theoretical importance and its practical applications - being consistently discussed as the most effective strategy for mobilising evidence in policy and practice contexts. The concept of co-production was developed (almost) independently across multiple disciplines and has been employed in various policy and practice fields including environment, sustainability, and health.Aims and objectives: This paper surveys the literature to identify different meanings of co-production across different disciplinary bodies of knowledge. Such exploration is aimed at identifying the key points of convergence and divergence across different disciplinary and theoretical traditions.Methods: We performed a systematic search of Web of Science via a query designed to capture literature likely focusing on co-production, and then manually examined each document for relevance. Citation network analysis was then used to ‘map’ this literature by grouping papers into clusters based on the density of citation links between papers. The top-cited papers within each cluster were thematically analysed.Findings: This research identified five meanings of co-production, understood as a science-politics relationship, as knowledge democracy, as transdisciplinarity, as boundary management, and as an evidence-use intervention.Discussion and conclusions: Even though different clusters of scholarship exploring co-production are closely connected, this concept is mobilised to capture phenomena at different levels of abstraction – from post-structuralist theories of knowledge and power to specific strategies to be employed by researchers and policymakers.<br />Key messages<ul><li>The paper identifies five meanings of co-production: understood as a science-politics relationship, as knowledge democracy, as transdisciplinarity, as boundary management, and as an evidence-use intervention.</li><br /><li>Co-production is a multi-level phenomenon occurring at the level of socio-political systems, the level of institutions, and the level of situated practices.</li><br /><li>The paper identifies a need for definitional transparency and cross-disciplinary learning about co-production.</li></ul>
The recent moves towards incentivising ‘impact’ within the research funding system pose a growing challenge to academic research practices, charged with producing both scientific, and social impact. This article explores this tension by drawing on interviews with sixty-one UK academics and policymakers involved in publicly-funded knowledge exchange initiatives. The experiences of the interviewed academics point to a functional separation of academic practices into three distinct types: producing traditional research, translating research, and producing policy-oriented research. These three types of practices differ in terms of both the epistemic qualities of the produced knowledge and its legitimacy as valid academic work. Overall, the article argues that the relationship between relevance and excellence of research within the impact agenda is characterised by simultaneous contradiction and co-dependence, leading to hybridisation of academic knowledge production and expansion of the boundaries of policy expertise into the traditionally-academic spaces.
Despite the multiplicity of actors, crises, and fields of action, global public policy has known one constant, that is, the ubiquity of indicators in the production of governing knowledge. This article theoretically engages with the phenomenon of hyper-quantification of global governance in the context of the 17 Sustainable Development Goals (SDGs), debated and introduced in 2015. Increasingly metrics—such as indicators and quantified data to monitor targets and goals—are no longer just tools of governance but rather are emblematic of the new types of political cultures, enabling an interplay of material, techno-political, and organizational structures within which (statistical) knowledge is produced, disseminated, and translated into global public policy. The paper unpacks this complexity by proposing a new theoretical approach to quantification as an “epistemic infrastructure,” which emerges across three levels: materialities (such as data and indicators), interlinkages (such as networks and communities), and paradigms (such as new ways of doing policy work). Using the lens of the “epistemic infrastructure” on the SDGs, this article and the others in this special issue analyze the ways that quantified knowledge practices—in widely varying policy arenas, scales, and geographic regions—are at the heart of the production of its global public policy.
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