diff --git a/README.Rmd b/README.Rmd
index 0636d34..3171f06 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -29,7 +29,7 @@ The package is designed to work based on dataset standard backup format exported
Each calculation is implemented as a function with in-built check to identify whether the expected variables and modalities are within the dataset and a `mapper` to transform the data in the expected format in case of divergence of data structure between what was collected and what is expected. You can check each [function reference](/reference/index.html) to see in details all documented calculations
-Please check the [tutorial here](https://edouard-legoupil.github.io/IndicatorCalc/tutorial/index.html)
+Please check the [tutorial here](https://unhcr-americas.github.io/IndicatorCalc/tutorial/)
## Usage
diff --git a/README.md b/README.md
index 999e086..29e3a3b 100644
--- a/README.md
+++ b/README.md
@@ -52,7 +52,7 @@ reference](/reference/index.html) to see in details all documented
calculations
Please check the [tutorial
-here](https://edouard-legoupil.github.io/IndicatorCalc/tutorial/index.html)
+here](https://unhcr-americas.github.io/IndicatorCalc/tutorial/)
## Usage
diff --git a/docs/index.html b/docs/index.html
index ce19bc3..9e310b9 100644
--- a/docs/index.html
+++ b/docs/index.html
@@ -88,7 +88,7 @@
The goal of IndicatorCalc is to ease the implementation of standard calculations for survey indicators related to Forcibly Displaced Population. Among the objectives is also to avoid duplication of documentation efforts around the information to include in the technical report and the information that is already expected to be gathered and recorded within UNHCR Internal Data Repository which is following Data Documentation Initiative standards.
The package is designed to work based on dataset standard backup format exported from kobotoolbox within UNHCR internal data repository. It is adapted from the initial indicator script version.
Each calculation is implemented as a function with in-built check to identify whether the expected variables and modalities are within the dataset and a mapper to transform the data in the expected format in case of divergence of data structure between what was collected and what is expected. You can check each function reference to see in details all documented calculations
-Please check the tutorial here
+Please check the tutorial here