diff --git a/Common/normalization.py b/Common/normalization.py
index 2b932052..fdc2c5d3 100644
--- a/Common/normalization.py
+++ b/Common/normalization.py
@@ -165,18 +165,27 @@ def normalize_node_data(self, node_list: list, batch_size: int = 1000) -> list:
             else:
                 break
 
+        # we should be able to do the following, but it's causing RemoteDisconnected errors with node norm
+        #
         # hit the node norm api with the chunks of curies in parallel
         # we could try to optimize the number of max_workers for ThreadPoolExecutor more specifically,
         # by default python attempts to find a reasonable # based on os.cpu_count()
+        # with ThreadPoolExecutor() as executor:
+        #     executor_results = executor.map(self.hit_node_norm_service, chunks_of_ids)
+        #
+        # normalization_results = list(executor_results)
+        # for normalization_json, ids in zip(normalization_results, chunks_of_ids):
+        #     if not normalization_json:
+        #        raise NormalizationFailedError(f'!!! Normalization json results missing for ids: {ids}')
+        #    else:
+        #        merge the normalization results into one dictionary
+        #        node_normalization_results.update(**normalization_json)
+
+        # until we can get threading working, hit node norm sequentially
         node_normalization_results: dict = {}
-        with ThreadPoolExecutor() as executor:
-            normalization_results = list(executor.map(self.hit_node_norm_service, chunks_of_ids))
-            for normalization_json, ids in zip(normalization_results, chunks_of_ids):
-                if not normalization_json:
-                    self.logger.error(f'!!! Normalization json results missing for ids: {ids}')
-                else:
-                    # merge the normalization results into one dictionary
-                    node_normalization_results.update(**normalization_json)
+        for chunk in chunks_of_ids:
+            results = self.hit_node_norm_service(chunk)
+            node_normalization_results.update(**results)
 
         # reset the node index
         node_idx = 0