Satellite-based tools for investigating aquatic ecosystems

Trevor Platt Science Foundation

Inaugural Science Symposium

The training is organised into three components:

• Online training component (open to all qualified applicants and free of charge)
• Selected participants who have completed the online course are admitted to an in-person training course
• All the participants who have completed the training course will have the opportunity to participate in the Symposium. They will be able to contribute oral/poster presentations, attend all oral and poster sessions and join discussion and networking sessions. The networking sessions that are built into the symposium are designed to able trainees to engage with their cohorts and with leaders in the scientific world to discuss future activities and projects. A selected subset will be given the opportunity to co-chair sessions.

curriculum

Training Course

Online training course will be spread over a period of ~4 months from April to July 2023, and will consist of one webinar per week. The total number of webinars will be 15, and will be broken down into the following modules:

• Introduction to satellite-based observations of the oceans, introduction to data repositories and access
• Introduction to processing software tools
• The role of the environment in water-borne diseases and human health, the role of Earth Observations
• Ecosystem monitoring: indicators of ecosystem status including primary production, phytoplankton phenology, and relevance to climate

In-person training course will be held over 2 days at the Plymouth Marine Laboratory (UK), on 7 & 8 August, 2023, and will be divided into four sessions, and will delve more deeply into the subjects introduced in the online training course.

In addition, the participants will be introduced to machine learning and artificial intelligence tools. The emphasis will be on hands-on computer training, but we will also incorporate up to 4 high level lectures to set the stage.

We can accommodate a maximum of 40 people at the in-person training course.

The training will be a combination of lectures and practical exercises provided by experts from a number of organisations. In-person trainees will have the opportunity to learn state-of-the-art techniques including data processing, optical modelling and machine learning.