diff --git a/CITATIONS.md b/CITATIONS.md
index 6040f3e..375c3a7 100644
--- a/CITATIONS.md
+++ b/CITATIONS.md
@@ -1,9 +1,9 @@
 # Citations & References
 
 The bibtex entries for **PyAutoFit** and its affiliated software packages can be found
-[here](https://github.com/rhayes777/PyAutoFit/blob/main/files/citations.bib), with example text for citing **PyAutoFit**
-in [.tex format here](https://github.com/rhayes777/PyAutoFit/blob/main/files/citations.tex) and
-[.md format here](https://github.com/rhayes777/PyAutoFit/blob/main/files/citations.md). As shown in the examples, we
+[here](https://github.com/PyAutoLabs/PyAutoFit/blob/main/files/citations.bib), with example text for citing **PyAutoFit**
+in [.tex format here](https://github.com/PyAutoLabs/PyAutoFit/blob/main/files/citations.tex) and
+[.md format here](https://github.com/PyAutoLabs/PyAutoFit/blob/main/files/citations.md). As shown in the examples, we
 would greatly appreciate it if you mention **PyAutoFit** by name and include a link to our GitHub page!
 
 **PyAutoFit** is published in the [Journal of Open Source Software](https://joss.theoj.org/papers/10.21105/joss.03127) and its
diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
index 1548dfe..b7898bb 100755
--- a/CODE_OF_CONDUCT.md
+++ b/CODE_OF_CONDUCT.md
@@ -301,7 +301,7 @@ the situation is not yet resolved.
 
 ## License
 
-This code of conduct has been adapted from [*NUMFOCUS code of conduct*](https://github.com/numfocus/numfocus/blob/main/manual/numfocus-coc.md#the-short-version),
-which is adapted from numerous sources, including the [*Geek Feminism wiki, created by the Ada Initiative and other volunteers, which is under a Creative Commons Zero license*](http://geekfeminism.wikia.com/wiki/Conference_anti-harassment/Policy), the [*Contributor Covenant version 1.2.0*](http://contributor-covenant.org/version/1/2/0/), the [*Bokeh Code of Conduct*](https://github.com/bokeh/bokeh/blob/main/CODE_OF_CONDUCT.md), the [*SciPy Code of Conduct*](https://github.com/jupyter/governance/blob/main/conduct/enforcement.md), the [*Carpentries Code of Conduct*](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html#enforcement-manual), and the [*NeurIPS Code of Conduct*](https://neurips.cc/public/CodeOfConduct).
+This code of conduct has been adapted from [*NUMFOCUS code of conduct*](https://numfocus.org/code-of-conduct),
+which is adapted from numerous sources, including the [*Geek Feminism wiki, created by the Ada Initiative and other volunteers, which is under a Creative Commons Zero license*](http://geekfeminism.wikia.com/wiki/Conference_anti-harassment/Policy), the [*Contributor Covenant version 1.2.0*](http://contributor-covenant.org/version/1/2/0/), the [*Bokeh Code of Conduct*](https://github.com/bokeh/bokeh/blob/main/docs/CODE_OF_CONDUCT.md), the [*SciPy Code of Conduct*](https://github.com/jupyter/governance/blob/main/conduct/enforcement.md), the [*Carpentries Code of Conduct*](https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html#enforcement-manual), and the [*NeurIPS Code of Conduct*](https://neurips.cc/public/CodeOfConduct).
 
 **PyAutoLens Code of Conduct is licensed under the [Creative Commons Attribution 3.0 Unported License](https://creativecommons.org/licenses/by/3.0/).**
\ No newline at end of file
diff --git a/notebooks/chapter_1_introduction/start_here.ipynb b/notebooks/chapter_1_introduction/start_here.ipynb
index 29e7a8e..32b9878 100644
--- a/notebooks/chapter_1_introduction/start_here.ipynb
+++ b/notebooks/chapter_1_introduction/start_here.ipynb
@@ -22,7 +22,7 @@
         "data analysis.\n",
         "\n",
         "The lectures use the probabilistic programming language PyAutoFit, an open-source library for model-fitting,\n",
-        "scientific analysis, and big data analysis (https://github.com/rhayes777/PyAutoFit).\n",
+        "scientific analysis, and big data analysis (https://github.com/PyAutoLabs/PyAutoFit).\n",
         "\n",
         "The HowToFit lectures are composed of 3 chapters:\n",
         "\n",
diff --git a/scripts/chapter_1_introduction/start_here.py b/scripts/chapter_1_introduction/start_here.py
index b820b60..04fd5f2 100644
--- a/scripts/chapter_1_introduction/start_here.py
+++ b/scripts/chapter_1_introduction/start_here.py
@@ -17,7 +17,7 @@
 data analysis.
 
 The lectures use the probabilistic programming language PyAutoFit, an open-source library for model-fitting,
-scientific analysis, and big data analysis (https://github.com/rhayes777/PyAutoFit).
+scientific analysis, and big data analysis (https://github.com/PyAutoLabs/PyAutoFit).
 
 The HowToFit lectures are composed of 3 chapters:
 
diff --git a/smoke_tests.txt b/smoke_tests.txt
index b53facc..a9f00ad 100644
--- a/smoke_tests.txt
+++ b/smoke_tests.txt
@@ -6,7 +6,7 @@
 # the sampler entirely so each runs in under a minute.
 #
 # tutorial_5_results_and_samples is excluded while the interpolator IndexError
-# tracked at https://github.com/rhayes777/PyAutoFit/issues/<tbd> is unresolved —
+# tracked at https://github.com/PyAutoLabs/PyAutoFit/issues/<tbd> is unresolved —
 # mirrors the autofit_workspace `no_run.yaml` entry for the same tutorial.
 
 chapter_1_introduction/start_here.py