Loading...
Time-evolving data science and artificial intelligence for Advanced Open Environmental Science (TAIAO) programme
Abstract
New Zealand's unique ecosystems face increasing threats from climate change, impacting biodiversity and posing challenges to safety, livelihoods, and well-being. To tackle these complex issues, advanced data science and artificial intelligence techniques can provide unique solutions. Currently, in its fourth year of a seven-year program, TAIAO focuses on methods for analyzing environmental datasets. Recognizing this urgency, the open-source TAIAO platform was developed. This platform enables new artificial intelligence research for environmental data and offers an open-access repository to enhance reproducibility in the field. This paper will showcase four environmental case studies, artificial intelligence research, platform implementation details, and future development plans.
Type
Conference Contribution
Type of thesis
Series
Citation
Koh, Y. S., Bifet, A., Bryan, K., Weigert Cassales, G., Graffeuille, O., Lim, N., Mourot, P., Ning, D., Pfahringer, B., Vetrova, V., & Murilo Gomes, H. (2024). Time-evolving data science and artificial intelligence for Advanced Open Environmental Science (TAIAO) programme. IJCAI International Joint Conference on Artificial Intelligence, 7314-7322. https://doi.org/10.24963/ijcai.2024/809
Date
2024
Publisher
International Joint Conferences on Artificial Intelligence (IJCAI)
Degree
Supervisors
Rights
© 2024 International Joint Conferences on Artificial Intelligence (IJCAI).