diff --git a/_gsocprojects/2026/project_BOA.md b/_gsocprojects/2026/project_BOA.md
index d1fcaead9..515ff2018 100644
--- a/_gsocprojects/2026/project_BOA.md
+++ b/_gsocprojects/2026/project_BOA.md
@@ -1,8 +1,6 @@
 ---
-title: BOA  
-author: "Caterina Doglioni"
+project: BOA
 layout: default
-organization: University of Manchester
 logo: BOA-logo.png
 description: |
     [Bytewise Online Autoregressive (BOA) Constrictor](https://arxiv.org/abs/2511.11337) is a new streaming-capable lossless data compressor built upon the Mamba machine learning architecture. BOA combines an autoregressive Mamba model for next-byte prediction with a parallelised streaming range coder, and it is showing promising results in terms of data compression for high energy physics datasets. At the moment BOA is only a proof-of-principle, and we would love help in turning it into a viable tool that can be used in production.  
diff --git a/_gsocprojects/2026/project_GreenMetaData.md b/_gsocprojects/2026/project_GreenMetaData.md
index 5dfb38b74..052f01b3a 100644
--- a/_gsocprojects/2026/project_GreenMetaData.md
+++ b/_gsocprojects/2026/project_GreenMetaData.md
@@ -1,8 +1,7 @@
 ---
-title: GreenMetaData  
+project: GreenMetaData
 author: "Caterina Doglioni"
 layout: default
-organization: GreenAlgorithms
 logo: greenmetadata-logo.png
 description: |
     The [GreenMetaData](https://github.com/GreenAlgorithms/GreenMetaData) project aims to standardise the reporting of the environmental impact of computational research.