Start: May 15th, 2023
End: May 17th, 2023
Co-organised by Aristotle University of Thessaloniki, Greece (AUTH) and the National Research Council of Italy (CNR), the ‘Big Marine Data Analytics and Models’ course will be the first of an ongoing series organised by EcoScope as part of the EcoScope Academy. This course will take place at KEDEK AUTH, Greece between 16th - 18th May 2023.
This course will be interactive and made up of practical exercises, free to attend, and open to all participants (a general undergraduate-level statistical knowledge is required and a basic knowledge of ecology and fisheries biology) interested in the topics; marine data, species observation and environmental parameter selection techniques, distance and density-based cluster analysis for habitat and vessel pattern recognition, artificial neural networks for species distribution modelling, Bayesian state-space models for population dynamics, open science approaches, and stock assessment.
During the course, practical methodologies for marine data analysis and modelling will be presented, as well as specific classes on problems in marine science and their corresponding solutions, adopting state-of-the-art computer science technologies and methodologies. These methods will be applied to marine data, such as vessel transmitted data, species observation records, and catch and vessel time series that fall into the Big Data category.
These explained techniques will address real use cases of the United Nations (FAO, UNESCO, UNEP, and others) for marine food and ecosystem safety and illustrate the new lines of research in the context of the Open Science paradigm.
The deadline for applications is 31st March 2023.
EcoScope Training Course - Brochure
Registration and attendance are free of charge. Please send a short CV and a motivation letter (max 1 page) electronically to marefishlab@bio.auth.gr.
| Day / Time | Topic | Instructor |
|---|---|---|
| 09:00 – 11:00 | Introduction to big data, Open Science | Gianpaolo Coro |
| 11:00 – 11:15 | Coffee break | |
| 11:15 – 13:00 | e-Infrastructures, geospatial data and biodiversity data | Gianpaolo Coro |
| 13:00 – 14:00 | Lunch break | |
| 14:00 – 15:00 | Cloud and parallel processing - Cloud storage for big data | Gianpaolo Coro |
| 15:00 – 15:15 | Coffee break | |
| 15:15 – 16:30 | Data space reduction methods | Gianpaolo Coro |
| Day / Time | Topic | Instructor |
|---|---|---|
| 09:00 – 11:00 | Ecological niche modelling through machine learning | Gianpaolo Coro |
| 11:00 – 11:15 | Coffee break | |
| 11:15 – 13:00 | Ecological niche modelling through machine learning | Gianpaolo Coro |
| 13:00 – 14:00 | Lunch break | |
| 14:00 – 15:00 | Alien and invasive species distribution modelling | Gianpaolo Coro |
| 15:00 – 15:15 | Coffee break | |
| 15:15 – 16:30 | Alien and invasive species distribution modelling | Gianpaolo Coro |
| 09:00 – 11:00 | Cluster analysis, time series forecasting methods | Gianpaolo Coro |
| 11:00 – 11:15 | Coffee break | |
| 11:15 – 13:00 | Data gap filling techniques, vessel data processing | Gianpaolo Coro |
| 13:00 – 14:00 | Lunch break | |
| 14:00 – 15:00 | Stock assessment | Gianpaolo Coro |
| 15:00 – 15:15 | Coffee break | |
| 15:15 – 16:30 | Stock assessment | Gianpaolo Coro |
Aristotle University of Thessaloniki
Thessaloniki
57001