diff --git a/tutorials.json b/tutorials.json
index 8878b7eea947c8c0136c5b9b3fbd32e85f2f2f36..9f24eaa05029e11ec67708044a7a1933f5691cf0 100644
--- a/tutorials.json
+++ b/tutorials.json
@@ -827,6 +827,47 @@
           "jupyter"
         ]
       }
+    },
+    {
+      "authors": [
+        "Mazheika, Aliaksei",
+        "Sbailò, Luigi",
+        "Ghiringhelli, Luca",
+        "Levchenko, Sergey",
+        "Scheffler, Matthias"
+      ],
+      "email": "mazheika@fhi-berlin.mpg.de",
+      "title": "Subgroup discovery for carbon-dioxide activation",
+      "description": "In this interactive tutorial we show the application of subgroup discovery for the search for indicators of carbond-dioxide activation with the aim of its further conversion.",
+      "url": "https://gitlab.mpcdf.mpg.de/nomad-lab/analytics-co2-sgd-tutorial",
+      "link": "https://analytics-toolkit.nomad-coe.eu/hub/user-redirect/notebooks/tutorials/CO2_SGD.ipynb",
+      "link_public": "https://analytics-toolkit.nomad-coe.eu/public/user-redirect/notebooks/tutorials/CO2_SGD.ipynb",
+      "updated": "2020-09-21",
+      "flags":{
+        "featured": true,
+        "top_of_list": false
+      },
+      "labels": {
+        "application_keyword": [
+          "CO2 activation",
+          "heterogeneous catalysis"
+        ],
+        "application_section": [
+          "Timely artificial-intelligence applications to Materials Science"
+        ],
+        "application_system": [
+          "System"
+        ],
+        "category": [
+          "Tutorial"
+        ],
+        "data_analytics_method": [
+          "Subgroup discovery"
+        ],
+        "platform": [
+          "jupyter"
+        ]
+      }
     }
-  ]
+  ]  
 }