Point to Hackweek Guidebook for projects and tutorials

book/_toc.yml

@@ -23,11 +23,7 @@ parts:
         - file: tutorials/example/tutorial-notebook
 - caption: Projects
   chapters:
-    - file: projects/list_of_projects
     - file: projects/index
-      sections:
-        - file: projects/project_roadmap
-        - file: projects/project_initialization
 - caption: Reference
   chapters:
     - file: reference/glossary

book/intro.md

@@ -5,7 +5,7 @@
 
 📖 On this JupyterBook website you'll find [tutorials](tutorials/index). All tutorials are Jupyter Notebooks, designed to be run interactively, but also rendered on this website for convenience.
 
-👩‍💻 During a Hackweek teams work collaboratively on different projects. Read more about the projects and results on our [projects page](projects/list_of_projects)
+👩‍💻 During a Hackweek teams work collaboratively on different projects. Read more about the projects and results on our [projects page](projects/index)
 
 💡 Learn more about hackweeks hosted by the [University of Washington eScience Institute](https://uwhackweek.github.io/hackweeks-as-a-service/intro.html), or check out our publication describing the hackweek educational model {cite:p}`Huppenkothen2018`.
 

book/projects/index.md

@@ -1,17 +1,20 @@
-# Projects
-
-During hackweeks we invite participants to collaborate in small group project teams (usually 5-7 people). Projects provide unique opportunities for networking, advancing research and learning new things.
-
-We encourage you to be creative in how you design your project work! Here are some ways people have used project time in the past:
-
-* *focus on learning*: dive deeper into tutorial content and gain more hands on experience with new tools
-* *focus on community building*: hackweeks bring people together for the first time and projects are used to build social fabric and foster open science
-* *focus on research*: people often work to advance a research challenge using tools shared during the event. This often includes ongoing graduate and postgraduate investigations.
-* *focus on creating new tools*: hackweeks often expose general community software needs. Projects can be the catalyst for new community libraries.
-
-```{image} ../img/projects-montage.png
-:alt: picture of people interacting during hackweek project work
-:class: bg-primary mb-1
-:width: 700px
-:align: center
-```
+# Projects
+
+During hackweeks we invite participants to collaborate in small group project teams (usually 5-7 people). Projects provide unique opportunities for networking, advancing research and learning new things.
+
+```{image} ../img/projects-montage.png
+:alt: picture of people interacting during hackweek project work
+:class: bg-primary mb-1
+:width: 700px
+:align: center
+```
+
+You can find our comprehensive guide for organizing projects before, during, and after a hackweek in our [Hackweek Guidebook](https://guidebook.hackweek.io/training/projects/index.html). Below you'll find a table keeping track of all project work done during this event:
+
+## List of Projects
+
+Here is our current list of project for our {{dates}} {{ hackweek }} hackweek:
+
+| Project Name (with link to GitHub repo) | Short Description | Project Lead(s) |
+|:--------|:--------|:-----|
+| [Snow-Extrapolation](https://github.com/geo-smart/Snow-Extrapolation) | Goal: Improve National Snow Model (NSM) prediction performance in the Sierra Nevada mountains through domain constraints and the exploration of different ML algorithms. | Ryan Johnson |

book/tutorials/index.md

@@ -1,12 +1,8 @@
 # Tutorials
 
-These tutorials consist of Jupyter Notebooks that can be run in our
-{{ '[preconfigured software environment]({url})'.format(url=jupyterhub_url) }}
-If you are attending the hackweek, you have access to a JupyterHub environment
-with all the necessary Python software packages installed that are needed to run
-through these tutorials interactively. On JupyterHub, your home directory persists
-so any changes you make to the tutorials will be saved and be there for you next
-time you log in.
+Hackweek tutorials are learning-oriented and guide participants through a step-wise process with a meaningful outcome. If you are putting together a new tutorial for this event, refer to our [Hackweek Guidebook](https://guidebook.hackweek.io/training/tutorials/index.html).
+
+Below you'll find a table keeping track of all tutorials presented at this event:
 
 | Tutorial | Topics | Datasets |  Recording Link |
 | -  | - | - |  - |