Peskas: Automated analytics for small-scale, data-deficient fisheries

Longobardi, Lorenzo, Sozinho, Villiam, Altarturi, Hamza, Cagua, E. Fernando and Tilley, Alexander (2025) Peskas: Automated analytics for small-scale, data-deficient fisheries. SoftwareX, 29. ISSN 2352-7110

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Abstract

Small-scale fisheries account for almost 90 % of global fisheries employment and are responsible for landing >40 % of the world's fish catch. Yet their importance to livelihoods and food and nutrition security in Least Developed Countries are only recently emerging due to the logistical, financial, and capacity challenges of gathering and interpreting data in this diverse, dispersed and informal sector. Peskas was designed as a low-cost solution to tackle this problem, providing a template workflow for ingestion and analysis to a decision dashboard, which can be adapted to different contexts and needs.

Item Type: Article
Additional Information: Acknowledgements: The development and continued improvement of this software would not have been possible without the generous support of the Norwegian Embassy in Jakarta, who supported the piloting and scaling of Peskas in Timor-Leste. Thanks also to the Minderoo Foundation, which provided bridge funding to maintain data collection before full government adoption. We are grateful to WorldFish and the Government of Timor-Leste staff and consultants who contributed over time to the improvement, with particular thanks to Shaun P. Wilkinson, Joctan dos Reis Lopes, Mario Gomes, Pedro Rodrigues, Acasio Guterres and many data enumerators who collected data and tested systems. This publication and continued work and scaling of Peskas beyond Timor-Leste are supported by the Aquatic Foods Initiative supported by the CGIAR Trust fund and UK International Development from the UK Government as part of the Asia\u2013Africa BlueTech Superhighway Project led by WorldFish. Views expressed do not necessarily reflect the UK government's official policies.
Uncontrolled Keywords: dashboard,iuu fishing,near-real-time,small-scale fisheries,stock assessment,software,computer science applications ,/dk/atira/pure/subjectarea/asjc/1700/1712
Faculty \ School: Faculty of Social Sciences > School of Global Development (formerly School of International Development)
Related URLs:
Depositing User: LivePure Connector
Date Deposited: 14 Jan 2025 00:59
Last Modified: 06 Feb 2025 12:31
URI: https://ueaeprints.uea.ac.uk/id/eprint/98184
DOI: 10.1016/j.softx.2024.102028

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