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Update for 2024 splash page
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@spestana
spestana authored Mar 14, 2024
2 parents 9a5fafb + f703672 commit 6c9d86c
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2 changes: 1 addition & 1 deletion book/_config.yml
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Expand Up @@ -11,7 +11,7 @@ parse:
# https://jupyterbook.org/content/content-blocks.html#using-substitutions-in-links
myst_substitutions:
hackweek: "GeoSmart Hackweek"
dates: "October 23 to 27, 2023"
dates: "August 19 to 23, 2024"
github_org_url: "https://github.com/geo-smart"
book_repo: "2023-hackweek-website"
website_url: "https://geosmart.hackweek.io"
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59 changes: 10 additions & 49 deletions cookiecutter.yaml
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Expand Up @@ -15,55 +15,16 @@ banner:
image: https://geohackweek.github.io/assets/images/banner.jpg
about:
description:
<a href="https://escience.washington.edu/using-data-science/hackweeks/">Hackweeks</a> are participant-driven events that strive to create
welcoming spaces for participants to learn new things, build community and
gain hands-on experience with collaboration and team science.
</br></br>
The 2024 GeoSmart Hackweek will focus primarily on project work, with an emphasis on applications in Hydrology and Cryosphere science.
Project ideas will be shared in advance.
There will be space for new ideas to emerge during the Hackweek based on participant engagement.
We will provide about 5 hours of data science tutorials spread over the week, including space for participant-led tutorials.
</br></br>
During the week, participants will have the opportunity to collaborate with
their peers, share ideas, and work on projects leading to exciting results and
discoveries. This event is open to all experience levels in machine learning
knowledge, so whether you're a seasoned pro or just starting out, you're
welcome to join. However, to benefit most from the event, prior knowledge of
Python programming and data handling using common Python packages (pandas,
xarray, etc.) is desired. See the event Jupyter book for more details.
</br></br>
Preliminary project ideas include streamflow prediction from SAR-derived snowmelt timing or snow data, predicting snow water equivalent with machine learning, glacier dh/dt from DEMs using geospatial time series analysis, derivation of snow covered areas from satellite imagery, derivation of snow depth from SAR backscatter and lidar-derived snow data, predicting river discharge from seismic waves and others! Join one of these projects or pitch your own project idea at the event!
expanded_description:
header: "Hackweek activities will include:"
list:
- header: Brainstorming sessions
description: participants can join an existing project or come
up with ideas for projects that can be implemented using machine learning.
- header: Tutorials
description: learn about common machine learning workflows,
computational environments, reproducibility, and workflow management.
- header: Data preparation
description: explore datasets to identify and
engineer relevant variables that can be used to build machine learning models.
- header: Models
description: work on building machine learning models using
popular libraries such as TensorFlow, PyTorch, or scikit-learn.
- header: Model validation and optimization
description: validate models using
cross-validation and other techniques to ensure that models are
robust and accurate; fine-tuning hyperparameters, using feature engineering techniques, or
other methods.
- header: Presentations
description: participants can share the results from projects to
receive feedback from their peers.
- header: Networking
description: facilitated opportunities for networking and community
building will be provided.
# learn_more: https://escience.washington.edu/using-data-science/hackweeks
team:
!include book/team.yaml
schedule:
!include book/schedule.yaml
"We are in the early stages of organizing a third event as part of this series, and we need your help! Consider joining the hackweek organizing team. We will partner with you to design tutorials and projects, and provide a variety of professional development opportunities along the way. Click on the button below to learn more:"
learn_more: https://escience.notion.site/UW-Hackweek-Organizing-Team-Application-b7e5742a4c7e4cad8b4ece80ee171ab0
#links:
#- url: https://geosmart.hackweek.io/
# title: 2023 Hackweek
# new_window: true
#team:
# !include book/team.yaml
#schedule:
# !include book/schedule.yaml
sponsors:
description: 'This event was made possible by the National Science Foundation (Awards #1829585, #2117834) and the eScience Institute in collaboration with CUAHSI and ESIP. Cloud computing infrastructure provided by CryoCloud.'
organizations:
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156 changes: 70 additions & 86 deletions {{ cookiecutter.repo_directory }}/index.html
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Expand Up @@ -138,6 +138,76 @@ <h1 class="hero-heading mb-2">
</div>
<!--//hero-block-->



<section id="about-section" class="about-section section theme-bg-light pb-4">
<div class="container">
<h3 class="section-heading text-center">
About {{ cookiecutter.name }}
</h3>
<div class="section-intro text-center single-col-max mx-auto mb-3">
{{ cookiecutter.about.description }}
</div>
<div class="about-cta text-center mb-4">
<a class="btn btn-secondary btn-lg"
href="{{ cookiecutter.about.learn_more }}"
target="_blank">
Organizing Team Information
<i class="fas fa-external-link-alt"></i>
</a>
</div>
<div class="section-intro text-center single-col-max mx-auto mb-3">
Ready to jump right in and apply?
</div>
<div class="about-cta text-center mb-4">
<a class="btn btn-secondary btn-lg"
href="https://washington.co1.qualtrics.com/jfe/form/SV_2mCdfajojmtDIBo"
target="_blank">
Apply to the Organizing Team
<i class="fas fa-external-link-alt"></i>
</a>
</div>

{%- if 'links' in cookiecutter.about %}
<div class="hero-cta text-center mb-4">
<h4 class="mb-3 text-center">
Past Events:
</h4>
{%- for link in cookiecutter.about.links %}
<a class="btn btn-primary btn-lg mb-3 mx-2"
href="{{ link.url }}"
{{ 'target="_blank"' if link.new_window == 'True' else '' }}
>
{{ link.title }}
</a>
{%- endfor %}
</div>
{%- endif %}
</div>

<div class="media-block theme-bg-primary py-5">
<div class="container">
<h4 class="text-white text-center mb-3">
Information for Participants
</h4>
<div
class="section-intro text-center single-col-max mx-auto text-white mb-5">
{{cookiecutter.applicant_info}}
<div class="about-cta text-center mb-4"></div>
<a class="btn btn-primary btn-lg mb-3 mx-2"
href="https://forms.fillout.com/t/fvDozLe31gus"
target="_blank">
Participant Interest Form
<i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
</div>
</div>
</section>

<!--//about-section-->

<section id="countdown" class="section theme-bg-light pt-4 pb-3">
<div id="countdown-intro" class="event-countdown text-center">
<h4 class="countdown-intro mb-2 text-center">
Expand Down Expand Up @@ -458,92 +528,6 @@ <h5>Interests / Expertise</h5>
<hr>
</div>

<!--//about-section-->
<section id="about-section" class="about-section section">
<div class="container">
<h3 class="section-heading text-center mb-3">
About {{ cookiecutter.name }}
</h3>
<div class="section-intro single-col-max mx-auto mb-4">
{{ cookiecutter.about.description }}
</div>

{%- if 'expanded_description' in cookiecutter.about %}
<div class="section-intro single-col-max mx-auto mb-4">
<div class="accordion" id="expandDescription">
<div class="accordion-item">
<h2 class="accordion-header" id="headingOne">
<button class="accordion-button"
type="button"
data-bs-toggle="collapse"
data-bs-target="#collapseList"
aria-expanded="true"
aria-controls="collapseList">
{{ cookiecutter.about.expanded_description.header }}
</button>
</h2>
<div id="collapseList"
class="accordion-collapse collapse show"
aria-labelledby="headingOne"
data-bs-parent="#headingOne">
<div class="accordion-body">
{%- for item in cookiecutter.about.expanded_description.list %}
<ul>
<i><strong>
{{ item.header }}
</strong></i>: {{ item.description }}
</ul>
{%- endfor %}
</div>
</div>
</div>
</div>
</div>
{%- endif %}

{%- if 'learn more' in cookiecutter.about %}
<div class="about-cta text-center mb-4">
<a class="btn btn-secondary btn-lg"
href="{{ cookiecutter.about.learn_more }}"
target="_blank">
Learn about "Hackweeks"
<i class="fas fa-external-link-alt"></i>
</a>
</div>
{%- endif %}

{%- if 'links' in cookiecutter.about %}
<div class="hero-cta text-center mb-4">
<h4 class="mb-3 text-center">
Past Events:
</h4>
{%- for link in cookiecutter.about.links %}
<a class="btn btn-primary btn-lg mb-3 mx-2"
href="{{ link.url }}"
{{ 'target="_blank"' if link.new_window == 'True' else '' }}
>
{{ link.title }}
</a>
{%- endfor %}
</div>
{%- endif %}

</div>

{%- if 'applicant_info' in cookiecutter %}
<div class="media-block theme-bg-primary py-5">
<div class="container">
<h4 class="text-white text-center mb-3">
Information for Applicants
</h4>
<div
class="section-intro text-center single-col-max mx-auto text-white mb-3">
{{cookiecutter.applicant_info}}
</div>
</div>
</div>
{%- endif %}
</section>

<!--//sponsors-section-->
{%- if cookiecutter.sponsors %}
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