Exploring how Baltic Cod Modelling values Science with Mixed Methods 

• In Event: Relations and Troubles of Tools of Valuation – II

Abstract

Quantitative modelling is a key tool of ordering and valuation in ‘science based’ fisheries management. Recent efforts to assess the Eastern Baltic Cod called for combining different modelling approaches: ecosystems and single species modelling. Using scientometrics, document analysis and interviews, we study how these modelling efforts value fisheries science and reflect on how combining methods shapes our analysis.

Models are normative: they are co-produced with sciences’ epistemic cultures; the politics of policies that call for and use them (cf. Leach & Scoones, 2013); and situated modelling practices (cf. Neff et al., 2017). Single species assessment models are popular in fisheries management, but EU and US policies have called for ecosystems-based approaches since the 2000s (De Santo, 2010; Quinn, 2003).

The advice of ICES - an organisation providing ‘science based’ fisheries assessments - is key to European fisheries management. A 2020 ICES report calls for combining ecosystems considerations with single species assessment models to assess the Eastern Baltic Cod – a large and commercially significant stock said to be under threats that could be addressed through innovative modelling.

Using scientometrics, we analyse publications about cod modelling. Scientometrics helps analyse large publication sets over time and varying scales, but often relies on aggregation and may reify analytical units. We also analyse ICES reports and interview scientists who perform ICES’ cod modelling. These help study actors’ values, but may over-emphasize the way ICES values fisheries science, obscuring alternative but relevant valuations. We explore how combining methods shapes our analysis of Baltic cod modelling.

Authors

• Judit Varga, Centre for Science & Technology Studies (CWTS), Leiden University

• Jacqueline Ashkin, Center for Science and Technology Studies, Leiden University, the Netherlands

• Sarah de Rijcke, Centre for Science and Technology Studies (CWTS)