update speakers and open pre-registrations

Author: CamilleCoux

_quarto.yml

@@ -58,6 +58,14 @@ book:
       affiliations:
         - name: Institut Agro Montpellier
 
+    
+    - name: "Sonia Mai Tieo"
+      orcid: "0000-0002-9514-356"
+      url: "https://orcid.org/0000-0002-9514-356X"
+      affiliations: 
+        - name: BioM team, Laboratoire d'Ecologie Systémique & Evolution, Université Paris-Saclay
+          url: "https://www.biodiversitydynamics.fr""
+
 
     - name: "Camille Coux"
       orcid: "0000-0002-6346-9194"

index.qmd

@@ -5,7 +5,11 @@ toc: true
 # Welcome {.unnumbered}
 
 ::: {.callout-note}
-## Registrations for the 2025 session are closed.
+## Pre-registrations for the 2026 session are now OPEN !
+
+Visit [this page](https://www.fondationbiodiversite.fr/evenement/frb-cesab-lia-pour-les-ecologues-une-boite-a-outils-2026/) and fill out the pre-registration form at the bottom. 
+
+Pre-registrations close on Jan 16th, 2026.
 
 
 {{< fa hand-point-right >}}&nbsp; Subscribe to the 
@@ -17,11 +21,13 @@ to stay informed.
 
 This five-day training course, organized by the [FRB-CESAB](https://www.fondationbiodiversite.fr/en/about-the-foundation/le-cesab/) 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. 
 
+For the 2026 edition, Sonia Mai Tieo will join the team to expand the deep learning section a bit. The program might change a bit, more in terms of structure than in the contents listed below. Updates will come in spring 2026.
+
 
 
 ## Program {.unnumbered}
 
-**Monday 19 May 2025 – 9:00 am: Introduction**
+**Monday June 1st 2026 – 9:00 am: Introduction**
 
 Presentation of the course and speakers  
 
@@ -31,7 +37,7 @@ Introduction to Python environment and tools
 
 Data science in Python 
 
-**Tuesday 20 May 2025 – Machine learning 1**
+**Tuesday June 2nd 2026 – Machine learning 1**
 
 Linear and general regression : from a ML perspective 
 
@@ -40,7 +46,7 @@ Random forest and K-means
 Practical concepts and practice 
 
 
-**Wednesday 21 May 2025 – Machine learning 2**
+**Wednesday June 3rd 2026 – Machine learning 2**
 
 Dataset selection 
 
@@ -50,13 +56,13 @@ Unsupervised learning
 
 Dimensionality reduction 
 
-**Thursday 22 May 2025 – Deep learning**
+**Thursday June 4th 2026 – Deep learning**
 
 DL concepts  
 
 Practices with PlantNet 
 
-**Friday 23 May 2025 – Symbolic AI**
+**Friday June5th 2026 – Symbolic AI**
 
 Introduction 
 
@@ -119,7 +125,7 @@ Thanks to Sakina Ayata for comments and advice in the set-up of this training co
 
 ## Citation {.unnumbered}
 
-> Blondel L, Bourel B, Challand M, Coux C, Justea-Allaire D, Frelat R, Servajean M, Tresson P. (2025) AI for ecologists: a toolkit for beginners. An FRB-CESAB training course. URL: <https://ai-ecol.github.io/>
+> Blondel L, Bourel B, Challand M, Coux C, Justea-Allaire D, Frelat R, Servajean M, Tieo S.M., Tresson P. (2026) AI for ecologists: a toolkit for beginners. An FRB-CESAB training course. URL: <https://ai-ecol.github.io/>
 
 
 ## Contributions {.unnumbered}