van der Marck, Floor (2023) Citizen Science and Artificial Intelligence: A systematic review of the current application on the Research and Conservation of Whale Sharks. Bachelor thesis, Global Responsibility & Leadership (GRL).
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Abstract
This research explores the current application of citizen science and artificial intelligence (AI) in whale shark research and conservation. The study and protection of whale sharks are of utmost importance in the field of marine conservation due to their vitality to marine ecosystems all over the world. From this perspective, this research aims to investigate the potential of the combination of citizen science AI in enhancing conservation efforts for whale sharks. The objectives include evaluating the advantages and difficulties of combining AI and citizen science for whale shark conservation and their potential to boost public involvement. The methodology employed in this study involved conducting a systematic literature review focused on scientific publications on citizen science and AI relevant to whale sharks. A comprehensive search was performed from the Google Scholar database and WildMe’s publication archive, identifying and analysing nine relevant papers that formed the basis of the research’s results and discussion. The results reflect that by enhancing understanding of population dynamics, migratory patterns, and habitat utilisation and boosting data collecting, the application of AI and citizen research together can improve whale shark conservation. While citizen science adds to a more extensive range of data and community interaction, AI helps with data processing, validation, and standardisation. This benefits whale shark conservation planning, decision-making, and research. This study offers a unique perspective on how AI and citizen science operate together in whale shark research and conservation by introducing a brand-new conceptual framework that integrates them. In conclusion, this research emphasises the significant contribution that citizen science and artificial intelligence can make to whale shark research and conservation, highlighting the potential for knowledge advancement, informing conservation strategies, involving communities, and opening the door for further interdisciplinary studies. Keywords: Whale sharks, Marine conservation, Citizen Science, Artificial Intelligence
Item Type: | Thesis (Bachelor) |
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Name supervisor: | Beaulieu, J.A. |
Date Deposited: | 12 Sep 2023 09:44 |
Last Modified: | 12 Sep 2023 09:44 |
URI: | https://campus-fryslan.studenttheses.ub.rug.nl/id/eprint/263 |
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