This session will delve into specialized applications of Machine Learning (ML) and Artificial Intelligence (AI), presenting cutting-edge research and innovative methodologies to tackle key environmental challenges.
Building on the foundation set by the previous seminars, this webinar will highlight diverse projects spanning a wide range of environmental research areas on Natural Language Processing (NLP). Expect insightful discussions from leading experts in the field, offering practical use cases and addressing the challenges and opportunities of incorporating advanced technologies into environmental science.
Agenda
Time (CET, UTC+2) | ||
|---|---|---|
| 10 am-10:05am | Welcome | |
| 10:05 am - 10:25 am | Exploring Potential Applications of Large Language Models in Environmental Science: Use Cases, Challenges, and Opportunities | Dr. Masoume Raeissi & MSc Rob Knapen (WUR) |
| 10:25 am - 10:45 am | TBA | MSc Erkki Mervaala (Syke) |
| 10:45 am - 11:05 am | The potential of NLP for monitoring and assessing the impacts of climate change | Dr. Mariana Madruga de Brito (UFZ) |
| 11:05 am - 11:25 am | Collecting and analyzing texts: a pipeline approach | Dr. Yuri Kasahara (CIENS) |
| 11:25 am - Noon | The most fruitful contributions of LLMs: A comment from traditional researcher's perspective | Dr. Jari Lyytimäki (Syke) |
You can subscribe here: https://event.wur.nl/162431/registration