[FRB-CESAB] AI for ecologists: a toolkit – 2025

The Cesab – Centre for the Synthesis and Analysis of Biodiversity – of the FRB is opening the first session of the training course «Artifical Intelligence for ecologists: a toolkit». This five-day training course aims to initiate ecologists to AI concepts and tools. The course will be a mix of lectures and hands-on practice based on different data types commonly encountered in ecology. The main objective of the course is to give to the participants the autonomy that will allow them to assess which algorithms are most adapted to their own research questions, where to find them and how to adjust them to the desired question.

The training course is in English. The 2025 session will take place from the 19th to the 23rd of May 2025 at the CESAB in Montpellier. The price is 250 € for the week, including lunches. Travel, accommodation and evening meals are at the expense of the participants.

Find the training course on GitHub

Pre-registration will open on the 25th of Novembre 2024 and close on the 10th of January 2025.

Please note that as places are limited, successful applications will be confirmed at the end of February.

You must have a strong programming background, at least in R.

Familiarity with Python is preferred, but not mandatory.

List of speakers (in alphabetical order) :

Sakina-Dorothée AYATA (Locean, Sorbonne University)
Léo BLONDEL (Founder of the alien.club)
Camille COUX (FRB-CESAB)
Dimitri JUSTEAU-ALLAIRE (IRD, AMAP)
Maximillien SERVAJEAN (LIRMM)
Paul TRESSON (IRD, AMAP)

USEFUL INFORMATIONS

19 – 23 May 2025

• Pre-registration opening

25th of Novembre 2024

• Pre-registration closing

10th of January 2025 – midnight (Paris time)

CESAB – FRB

5, rue de l’École de médecine

34000 Montpellier

Contact

Camille COUX

Fiche – Mail

Introduction and overview of main AI concepts
Introduction to data science
Random forest and regression
Multilayer Perceptron
Convolutional Neural Networks
Symbolic AI

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Professional website

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Position : PhD, postdoc, researcher, other (please specify) *

Affiliation *

City *

Research topic *

How did you learn about this course? *

Motivation and background *

Subject of your current research project *

Experience with Python

Please be as honest as possible. If you are admitted, a tutorial will be sent out to ensure that all participants have a common base knowledge in Python. We ask that you commit to following this tutorial before attending the workshop.

Can you understand what is happening in an average Python script? *

Do you have skills in any other programming language? Which language and skills?

Any questions/comments?

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FRB
Cesab (in english)

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