diff --git a/_config.yml b/_config.yml
index 1f8545e..3afd437 100644
--- a/_config.yml
+++ b/_config.yml
@@ -241,6 +241,8 @@ defaults:
     values:
       layout: single
       author_profile: true
+      share: false
+      comments: false
   # _posts
   - scope:
       path: ""
diff --git a/_pages/team.html b/_pages/team.html
index 56a6014..f8354f7 100644
--- a/_pages/team.html
+++ b/_pages/team.html
@@ -3,8 +3,6 @@
 title: "Team"
 permalink: /team/
 author_profile: true
-redirect_from:
-  - /we
 ---
 
 {% include base_path %}
diff --git a/_teaching/summer_dgm.md b/_teaching/summer_dgm.md
index a56019a..46855b4 100644
--- a/_teaching/summer_dgm.md
+++ b/_teaching/summer_dgm.md
@@ -3,6 +3,8 @@ title: "Deep Generative Models"
 collection: teaching
 type: "Undergraduate course"
 permalink: /teaching/summer_dgm
+date: 2024-09-23
 ---
 
-Generative Adversarial Networks (GANs) and similar methods (e.g. Diffusion Models, Variational Auto Encoders) have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical image denoising, reconstruction, segmentation, data simulation, detection or classification. Furthermore, their ability to synthesize images at unprecedented levels of realism also gives hope that the chronic scarcity of labeled data in the medical field can be resolved with the help of these generative models.
\ No newline at end of file
+Generative Adversarial Networks (GANs) and similar methods (e.g. Diffusion Models, Variational Auto Encoders) have carved open many exciting ways to tackle well known and challenging medical image analysis problems such as medical image denoising, reconstruction, segmentation, data simulation, detection or classification.
+Furthermore, their ability to synthesize images at unprecedented levels of realism also gives hope that the chronic scarcity of labeled data in the medical field can be resolved with the help of these generative models.
\ No newline at end of file
diff --git a/_teaching/winter_dlmb.md b/_teaching/winter_dlmb.md
index 2156930..90ec00b 100644
--- a/_teaching/winter_dlmb.md
+++ b/_teaching/winter_dlmb.md
@@ -3,6 +3,7 @@ title: "Deep Learning for Medical Imaging"
 collection: teaching
 type: "Undergraduate course"
 permalink: /teaching/winter_dlmb
+date: 2024-09-23
 ---
 
 Medical imaging is the technique of creating visual representations (digital images) of the interior of a body or skin for clinical analysis and medical interventions.