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Development and deployment of a pilot multilingual citizen- science mobile application for georeferenced marine catch observations in India

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To enhance marine fishery advisory services in India, the Indian National Centre for Ocean Information Services (INCOIS) has launched ‘Fisheries Information Source Hub (FISH)’, a pilot multilingual citizen-science mobile application. This innovative approach empowers fishers to contribute georeferenced marine catch observations, generating high-frequency data crucial for species-specific fishery predictions. Initial deployment demonstrates significant success, with a 20-fold increase in data submissions.
Development and deployment of a pilot multilingual citizen- science mobile application for georeferenced marine catch observations in India

The development of the ‘Fisheries Information Source Hub’ (FISH) app by INCOIS represents a significant advancement in marine resource management, particularly within the context of India's vital fishing industry. The reliance on satellite-derived data for fishery advisories is already a valuable tool, but its efficacy is dramatically amplified by the incorporation of real-time, ground-truthed information. This citizen science initiative elegantly addresses the critical need for high-quality, high-frequency, georeferenced catch data. It’s a prime example of how scientific innovation can directly benefit communities dependent on ocean resources, mirroring the broader exploration of marine functional connectivity discussed in Advancing knowledge on biodiversity-driven ecological connectivity at sea and across the land–sea interface: challenges and future directions. The potential to move beyond generalized advisories towards species-specific predictions, as highlighted by the FISH app's goals, is a crucial step towards sustainable fisheries practices. This approach also resonates with the increasing use of machine learning in stock assessment, as seen in MAELSTROM, a machine learning-based approach for stock assessment, suggesting a convergence of data-driven tools and community engagement.

The success of the FISH app, evidenced by the reported 20-fold increase in data submissions, underscores the power of leveraging mobile technology and citizen participation in scientific data collection. This is particularly relevant in regions where traditional data gathering methods are resource-intensive or geographically challenging. The app’s user-friendly design and accessibility via Android devices empower fishers, who possess invaluable local knowledge, to contribute directly to the scientific understanding of their fishing grounds. The rigorous quality control measures implemented by INCOIS further ensure the integrity and reliability of the data, demonstrating a commitment to scientific standards. Such initiatives necessitate a strong infrastructure for data processing and analysis, which is evident in the central processing facility established at INCOIS. The long-term vision of creating a comprehensive citizen science-based information hub is ambitious but entirely feasible, potentially transforming fisheries management in India and offering a scalable model for other coastal communities worldwide. The challenges of pursuing such a career, as explored in What is your favorite thing about oceanography/ what is it like to be an oceanographer? highlights the importance of accessible tools and data to support future oceanographic researchers.

The broader significance of the FISH app extends beyond its immediate application to Indian fisheries. It exemplifies a growing trend toward democratizing scientific data collection and fostering collaborative partnerships between researchers and local communities. This approach aligns with the principles of ocean intelligence, emphasizing the integration of diverse data sources to create a more holistic understanding of marine ecosystems. The emphasis on real-time data acquisition is particularly valuable in the face of rapidly changing environmental conditions, such as those driven by climate change. By providing fishers with timely and accurate information, the FISH app not only improves their livelihoods but also contributes to the overall resilience of the fishing industry and the health of the ocean. The longitudinal data generated through this citizen science program will be invaluable for tracking changes in fish populations, identifying emerging threats, and adapting management strategies accordingly.

Looking ahead, the potential for expanding the FISH app's functionality and reach is considerable. Integration with other data sources, such as weather forecasts and oceanographic models, could further enhance its predictive capabilities. Furthermore, exploring the development of similar applications for other marine sectors, such as aquaculture and coastal tourism, could broaden the impact of this citizen science approach. A key question moving forward is how to ensure the long-term sustainability of the program, including securing funding for ongoing maintenance, data analysis, and community engagement. The success of FISH represents a compelling case for investing in citizen science initiatives as a vital component of responsible ocean stewardship.

Marine fishery advisory services represent a translation of satellite-derived scientific information into actionable guidance for marine fishing communities in India, enabling fishers to locate potential fishing grounds more efficiently and reduce search time. To transform the advisories into forecasts and develop species-specific predictions of fishery grounds, high-quality and high-frequency georeferenced fish catch data over a large spatial scale is essential. To enhance data collection, INCOIS has developed a citizen science approach using a user-friendly Android App named ‘Fisheries Information Source Hub (FISH)’, enabling widespread citizen participation, mainly by the fishers using their mobile phones. This initiative simplifies data gathering and supports the long-term goal of reliable, species-specific fishery predictions. The data collected through the FISH App is transmitted to a central processing facility at INCOIS and undergoes necessary quality control before further analysis. This study introduces the FISH App, which has demonstrated encouraging outcomes during its initial deployment, with nearly a thousand installations and a 20-fold increase in data submissions between the first two years of implementation. The initiative holds significant potential for future development into a citizen science-based information hub, facilitating broader stakeholder participation and data-driven fisheries management.

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