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.nojekyll

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index.html

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     <h2 id="toc-title">Contents</h2>
 
   <ul>
-  <li><a href="#project-news" id="toc-project-news" class="nav-link active" data-scroll-target="#project-news">Project News</a>
+  <li><a href="#project-description" id="toc-project-description" class="nav-link active" data-scroll-target="#project-description">Project Description</a></li>
+  <li><a href="#project-news" id="toc-project-news" class="nav-link" data-scroll-target="#project-news">Project News</a>
   <ul class="collapse">
   <li><a href="#november-27-2022-project-announcement" id="toc-november-27-2022-project-announcement" class="nav-link" data-scroll-target="#november-27-2022-project-announcement">November 27, 2022: Project announcement</a></li>
   <li><a href="#october-2-2023-first-toy-challenge" id="toc-october-2-2023-first-toy-challenge" class="nav-link" data-scroll-target="#october-2-2023-first-toy-challenge">October 2, 2023: First toy challenge</a></li>
@@ -134,9 +135,12 @@ <h2 id="toc-title">Contents</h2>
 <center>
 <a><img src="images/FAIRUniverse.png" alt="FAIR Universe title page logo" width="300px"></a>
 </center>
-<p>The FAIR-Universe project is a collaboration between the <a href="https://www.lbl.gov/">Lawrence Berkeley National Laboratory</a>, <a href="https://www.universite-paris-saclay.fr/en">Université Paris-Saclay</a>, <a href="https://www.washington.edu/">University of Washington</a>, and <a href="https://chalearn.org/">ChaLearn</a>. The project is funded by the <a href="https://www.energy.gov/">Department of Energy</a> through the <a href="https://www.energy.gov/science/hep/hep-cce">HEP-CCE</a> program.</p>
+<section id="project-description" class="level1">
+<h1>Project Description</h1>
+<p>The FAIR Universe project is a collaboration between the <a href="https://www.lbl.gov/">Lawrence Berkeley National Laboratory</a>, <a href="https://www.universite-paris-saclay.fr/en">Université Paris-Saclay</a>, <a href="https://www.washington.edu/">University of Washington</a>, and <a href="https://chalearn.org/">ChaLearn</a>. The project is funded by the <a href="https://www.energy.gov/">Department of Energy</a>.</p>
 <p>The collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning.</p>
 <p>The collaboration includes scientists from Lawrence Berkeley National Laboratory, Université Paris-Saclay, the University of Washington, and ChaLearn, a non-profit that organizes challenges to stimulate research in machine learning.</p>
+</section>
 <section id="project-news" class="level1">
 <h1>Project News</h1>
 <section id="november-27-2022-project-announcement" class="level2">

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-    "text": "The FAIR-Universe project is a collaboration between the Lawrence Berkeley National Laboratory, Université Paris-Saclay, University of Washington, and ChaLearn. The project is funded by the Department of Energy through the HEP-CCE program.\nThe collaboration is building a large-compute-scale AI platform for the hosting of large scientific datasets, models, and machine learning competitions to drive forward discoveries in high energy physics and cosmology. The initial focus is on discovering and minimizing systematic uncertainties in High Energy Physics through a sequence of challenges that will bring together researchers across physics and machine learning.\nThe collaboration includes scientists from Lawrence Berkeley National Laboratory, Université Paris-Saclay, the University of Washington, and ChaLearn, a non-profit that organizes challenges to stimulate research in machine learning."
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     "section": "November 27, 2022: Project announcement",
     "text": "November 27, 2022: Project announcement\nLBNL • DoE"
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     "section": "October 2, 2023: First toy challenge",
     "text": "October 2, 2023: First toy challenge\nWe have designed and released our first toy challenge on the Codabench platform."
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+    "title": "Project Description",
     "section": "November 29, 2023: Particle Physics challenge trial",
     "text": "November 29, 2023: Particle Physics challenge trial\nWe will be hosting a hackathon at the Artificial Intelligence and the Uncertainty Challenge in Fundamental Physics workshop on Wednesday November 29, 2023. Closer to the date we will be posting more information about the challenge problem and datasets, which will be hosted on Codabench."
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