International Conference on Advances in Fisheries Data Science and AI

ICAFDSA

27th Jan – 28th Jan 2027 Seoul, South Korea

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Registration Summary

Conference ICAFDSA

Date 27th Jan – 28th Jan 2027

Location Seoul, South Korea

Participation Type Listener

Organizer Science Leagues

Registration Mode Standard / Physical

Registration Fee USD 0.00

Bank Convenience Charges (5.8%)i USD 0.00

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Conference Session Tracks

Aligned with UN Sustainable Development Goals

The conference's session tracks effectively support the following SDGs.

01 Innovations in Fisheries Data Science +

This track focuses on the latest advancements in data science techniques applied to fisheries. It aims to explore innovative methodologies that enhance data collection, analysis, and interpretation in the context of aquatic ecosystems.

SDG 14 SDG 15

02 Artificial Intelligence in Fisheries Management +

This session will delve into the application of artificial intelligence in optimizing fisheries management strategies. Participants will discuss case studies and frameworks that leverage AI to improve decision-making processes in sustainable fisheries.

SDG 12 SDG 14

03 Sustainable Fisheries Practices +

This track emphasizes the importance of sustainable practices in fisheries to ensure long-term viability. It will cover research on sustainable harvesting techniques, ecosystem impacts, and policy frameworks that promote responsible fisheries.

SDG 14 SDG 15

04 Aquaculture Innovations and Technologies +

This session will explore cutting-edge technologies and innovations in aquaculture. Discussions will include advancements in breeding, feeding, and habitat management that contribute to sustainable aquaculture practices.

SDG 2 SDG 12

05 Fisheries Monitoring and Surveillance +

This track addresses the critical role of monitoring and surveillance in fisheries management. It will highlight technological advancements in data collection and real-time monitoring systems that support effective governance.

SDG 14 SDG 16

06 Aquatic Data Analytics for Fisheries +

This session focuses on the application of data analytics in understanding aquatic ecosystems and fish populations. Participants will share insights on analytical techniques that enhance fish stock assessments and population dynamics.

SDG 14 SDG 15

07 Predictive Modeling in Fisheries Science +

This track will examine the use of predictive modeling to forecast fish population trends and assess the impacts of environmental changes. It aims to foster discussions on the integration of predictive analytics in fisheries governance.

SDG 13 SDG 15

08 Fisheries Economics and Policy +

This session will explore the intersection of fisheries economics and policy-making. It will cover economic assessments of fisheries management strategies and the implications for sustainable resource governance.

SDG 8 SDG 12

09 Fish Population Dynamics and Habitat Restoration +

This track will investigate the dynamics of fish populations in relation to habitat restoration efforts. Discussions will focus on methodologies for assessing habitat quality and its influence on fish health and biodiversity.

SDG 14 SDG 15

10 Data-Driven Approaches to Fisheries Research +

This session emphasizes the importance of data-driven methodologies in advancing fisheries research. Participants will present studies that utilize comprehensive datasets to inform fisheries science and management.

SDG 9 SDG 12

11 Technological Advances in Fisheries Science +

This track will showcase the latest technological innovations that are transforming fisheries science. Topics will include remote sensing, underwater robotics, and other technologies that enhance research and management capabilities.

SDG 9 SDG 12