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Accountability in knowledge production for future fisheries management in the Central Arctic Ocean
- 1. Accountability in knowledge production: ensuring transparency & traceability of the evidence base for fisheries management. Mark Dickey-Collas, Chair of ICES Advisory Committee @ICES_ASC www.ices.dk
- 2. Advice recipients & partners >1,600 active scientists 20 member countries 150+ expert groups 129 years of data sets Strategic partnerships ICES - an international network of researchers
- 3. Our advice Requesters Fisheries & ecosystem: Barents Sea NEAFC area of CAO Iceland West Greenland Seal management >1.8 million tonnes fish catches within an ecosystem approach
- 4. Ecosystem overviews • Key pressures • Trends • State with partners: https://www.ices.dk/community/advisory-process/Pages/Ecosystem-overviews.aspx
- 5. Knowledge Acquisition Knowledge Roles Request & Delivery Knowledge Quality Communication & Frameworks But how do you ensure a transparent, traceable & inclusive process for fisheries & ecosystem knowledge?
- 6. Knowledge & methods are managed so findable, accessible, interoperable & repeatable. Multinational, open access by default: • Survey databases • Catch databases (rights based access) • Methods & model input storage • Output & stock information database • Version control and storage of advice Heading towards data management accreditation. Web service oriented. Regularly review data policy.
- 7. Key stage … Building knowledge Ecosystems, fishers, fleets & science keep changing
- 8. Able to enquire through web services Survey databases (catch) Guidelines & protocols Mapping & estimation scripts, & inputs Advice GIS outputs Results check & export
- 9. Technology is not the complete answer Analytical approaches need more evidence & input Example: North East Atlantic mackerel Large uncertainty Assessment influenced by model assumptions 2017 stock size estimated 3.0 million tonnes (2018) 2017 stock size estimated 4.4 million tonnes (2019) estimatedstocksize ICES advice over the years
- 10. Knowledge from many sources • Fisheries science comes from an extremely numerical place • It has a long history of working with fishing industry ICES is moving into new territory, with new partners • Combining quantitative & qualitative information • Considering narratives, experience, traditional knowledge • Providing evidence to explore social norms & values
- 11. Inclusive and functional • Most of the process is open to interested parties • All “requesters of advice” have access to complete process • Researchers must be nominated to stock assessment working groups • All workshops, science groups & advice drafting groups open/observers Protections in place: observer policy, code of conduct, conflict of interest, guidelines for groups.
- 12. Summary • Community of researchers - long experience of providing knowledge for management • Systems in place to ensure transparency & traceability of evidence base • Embedding ecosystem approach in fisheries advice • Working with regional partners (PICES & PAME) on ecosystem overviews • Committed to explore methods incorporating traditional knowledge & include indigenous stakeholders • Prioritising mechanisms for knowledge flow & access