diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 88aa271..10d243d 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -14,17 +14,17 @@ repos:
       - id: mixed-line-ending
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 'v0.1.3'
+    rev: 'v0.1.5'
     hooks:
       - id: ruff
         args: ['--fix']
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: v0.1.3
+    rev: v0.1.5
     hooks:
       - id: ruff-format
 
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v3.0.3
+    rev: v3.1.0
     hooks:
       - id: prettier
diff --git a/offsets_db_data/projects.py b/offsets_db_data/projects.py
index 7aeffd8..8d3e6d5 100644
--- a/offsets_db_data/projects.py
+++ b/offsets_db_data/projects.py
@@ -15,6 +15,56 @@
 )
 
 
+def add_first_issuance_and_retirement_dates(
+    *, credits_data: pd.DataFrame, projects_data: pd.DataFrame
+) -> pd.DataFrame:
+    """
+    Add the first issuance date of carbon credits to each project in the projects DataFrame.
+
+    Parameters
+    ----------
+    credits_data : pd.DataFrame
+        A pandas DataFrame containing credit issuance data with columns 'project_id', 'transaction_date', and 'transaction_type'.
+    projects_data : pd.DataFrame
+        A pandas DataFrame containing project data with a 'project_id' column.
+
+    Returns
+    -------
+    projects_data : pd.DataFrame
+        A pandas DataFrame which is the original projects DataFrame with two additional columns 'first_issuance_at' representing
+        the first issuance date of each project and 'first_retirement_at' representing the first retirement date of each project.
+    """
+
+    first_issuance = (
+        credits_data[credits_data['transaction_type'] == 'issuance']
+        .groupby('project_id')['transaction_date']
+        .min()
+        .reset_index()
+    )
+    first_retirement = (
+        credits_data[credits_data['transaction_type'] != 'issuance']
+        .groupby('project_id')['transaction_date']
+        .min()
+        .reset_index()
+    )
+
+    # Merge the projects DataFrame with the first issuance and retirement dates
+    projects_with_dates = pd.merge(projects_data, first_issuance, on='project_id', how='left')
+    projects_with_dates = pd.merge(
+        projects_with_dates, first_retirement, on='project_id', how='left'
+    )
+
+    # Rename the merged columns for clarity
+    projects_with_dates = projects_with_dates.rename(
+        columns={
+            'transaction_date_x': 'first_issuance_at',
+            'transaction_date_y': 'first_retirement_at',
+        }
+    )
+
+    return projects_with_dates
+
+
 def add_retired_and_issued_totals(
     *, credits_data: pd.DataFrame, projects_data: pd.DataFrame
 ) -> pd.DataFrame:
@@ -112,6 +162,8 @@ def filter_project_data(data: pd.DataFrame) -> pd.DataFrame:
         'retired': float,
         'issued': float,
         'listed_at': pd.DatetimeTZDtype(tz='UTC'),
+        'first_issuance_at': pd.DatetimeTZDtype(tz='UTC'),
+        'first_retirement_at': pd.DatetimeTZDtype(tz='UTC'),
     }
 
     for filtered_column in filtered_columns_dtypes: