diff --git a/_data/keynotes.yml b/_data/keynotes.yml
index e3cee5f8172828067cdf6a016679eb79fcf8c2bd..a45a7cc001b5d55235cc47f1de2fbf65208f2aaa 100644
--- a/_data/keynotes.yml
+++ b/_data/keynotes.yml
@@ -65,11 +65,27 @@
 - firstname: Gilles
   lastname: Ardourel
   photo: ardourel.jpg
-  title: TBD
+  title: |
+    Using statistical model checking in a process for evaluating and calibrating
+    a model of tropical forest dynamics
   affiliation: Université de Nantes, France
   position: Assistant Professor
   website: https://sciences-techniques.univ-nantes.fr/gilles-ardourel
-  abstract: TBD
+  abstract: |
+    Modeling of tropical forest dynamics is particularly challenging, notably
+    because of  the variability of plant species which tends to require
+    additional complexity and non identifiable parameters in models. In this
+    talk, we will describe the procedure we used to calibrate such a model and
+    generate - using SMC - sets of parameters that closely reproduce actual data
+    from several plots in the Amazon basin, the majority of which was subject to
+    logging in 1988. Rather than a single set of parameters, our method returns
+    several small cells extracted from a large parameter space, which represent
+    possible forest dynamics while taking into account the heterogeneity of the
+    different plots using a reduced set of non directly identifiable parameters.
+    The results are then used to simulate various intensity and frequency of
+    logging to assess the level of resilience of the forest ecosystem. Finally,
+    we will offer a few perspectives on techniques which could allow for a finer
+    integration of the domain experts in the process.
   bio: TBD
 # - firstname:
 #   lastname: