diff --git a/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb b/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb
index 85142cf7..6e76e46b 100644
--- a/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb
+++ b/data/data-pipeline/data_pipeline/ipython/scoring_comparison.ipynb
@@ -269,7 +269,9 @@
     "Index = collections.namedtuple(\n",
     "    typename=\"Index\",\n",
     "    field_names=[\n",
+    "        # Short Name, can write whatever you want\n",
     "        \"method_name\",\n",
+    "        # This is the field in the CSV\n",
     "        \"priority_communities_field\",\n",
     "        # Note: this field only used by indices defined at the census tract level.\n",
     "        \"other_census_tract_fields_to_keep\",\n",
@@ -334,6 +336,11 @@
     "        priority_communities_field=PERSISTENT_POVERTY_CBG_LEVEL_FIELD,\n",
     "        other_census_tract_fields_to_keep=[],\n",
     "    ),\n",
+    "    Index(\n",
+    "        method_name=\"EJSCREEN Areas of Concern, National, 80th percentile (communities)\",\n",
+    "        priority_communities_field=\"EJSCREEN Areas of Concern, National, 80th percentile (communities)\",\n",
+    "        other_census_tract_fields_to_keep=[],\n",
+    "    ),\n",
     "]\n",
     "\n",
     "census_tract_indices = [\n",
@@ -1492,7 +1499,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.6"
+   "version": "3.8.12"
   }
  },
  "nbformat": 4,