Merge pull request #15 from FAIR-Universe/workshop

workshop page updates
FAIR-Universe · Oct 30, 2024 · 627e94d · 627e94d
2 parents c801c43 + 098589f
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diff --git a/Higgs-Uncertainty-Challenge.html → Uncertainty-Challenge-Workshop.html b/Higgs-Uncertainty-Challenge.html → Uncertainty-Challenge-Workshop.html
@@ -3,7 +3,7 @@
 <head>
     <meta charset="utf-8">
     <meta content="width=device-width, initial-scale=1.0" name="viewport">
-    <title>Higgs Uncertainty Challenge | FAIR Universe</title>
+    <title>Uncertainty Challenge Workshop | FAIR Universe</title>
     <meta content="Uncertainty aware large-compute-scale AI platform for high energy physics and cosmology" name="description">
     <meta content="FAIR Universe, High Energy Physics, Cosmology, Uncertainty aware" name="keywords">
 
@@ -27,17 +27,29 @@
 
     <!-- ======= Hero Section ======= -->
     <section class="hero">
-        <h1>Higgs Uncertainty Challenge (NeurIPS 2024)</h1>
+        <h1>FAIR Universe: Uncertainty Challenge Workshop</h1>        
     </section>
     <!-- End Hero Section -->
+
+    <!-- ======= NeurIPS Section ======= -->
+    <section id="about" class="about">
+        <div class="container">
+          <div class="section-title">
+            <p>The workshop will be held on December 14, 2024 at the Vancouver Convention Center in Vancouver, BC, Canada as a part of the <a href="https://neurips.cc/" target="_blank">38th annual conference on Neural Information Processing Systems (NeurIPS)</a>.</p>
+            <a class="btn btn-lg bg-primary text-light" target="_blank" href="https://www.codabench.org/competitions/2977/"><i class="bi bi-globe2"></i> Join the Challenge here</a>
+            <a class="btn btn-lg btn-secondary" href="#workshop-schedule"><i class="bi bi-calendar3"></i> Workshop Schedule</a>
+          </div>
+        </div>
+      </section>
+      <!-- End NeurIPS Section -->
 
     <!-- ======= About Section ======= -->
     <section>
         <div class="container">
             <div class="section-title">
                 <h2>About the Challenge</h2>
                 <p>This NeurIPS 2024 Machine Learning competition is one of the first to strongly emphasise mastering uncertainties in the input training dataset and outputting credible confidence intervals. This challenge explores uncertainty-aware AI techniques for High Energy Physics (HEP).</p>
-                <p>The context is the measurement of the Higgs Boson signal like in <a href="https://www.kaggle.com/c/higgs-boson" target="_blank">HiggsML challenge on Kaggle</a> in 2014. Participants should design an advanced analysis technique that can not only measure the signal strength but also provide a confidence interval</p>
+                <p>The context is the measurement of the Higgs Boson signal like in HiggsML challenge on Kaggle in 2014. Participants should design an advanced analysis technique that can not only measure the signal strength but also provide a confidence interval</p>
                 <p>The confidence interval should include statistical and systematic uncertainties (concerning detector calibration, background levels, etc…). It is expected that advanced analysis techniques that can control the impact of systematics will perform best. This challenge presents an opportunity to push the boundaries of machine learning applications within physics while still focusing on essential ML skills like robust model development and uncertainty quantification.</p>
               </div>
         </div>
@@ -102,7 +114,7 @@ <h2>Competition Material</h2>
 
     <!-- ======= Workshop Section ======= -->
     <section>
-        <div class="container">
+        <div class="container" id="workshop-schedule">
             <div class="section-title">
                 <h2>Workshop Schedule</h2>
                 <p>Join us for the Higgs Uncertainty Challenge Workshop at NeurIPS 2024</p>

diff --git a/index.html b/index.html
@@ -91,7 +91,8 @@ <h2>NeurIPS 2024 HiggsML Uncertainty Challenge </h2>
           <a class="btn btn-lg bg-success text-light" target="_blank" href="https://arxiv.org/abs/2410.02867"><i class="bi bi-journal-text"></i> Read the White Paper</a>
         </div>
       </div>
-    </section><!-- End NeurIPS Section -->
+    </section>
+    <!-- End NeurIPS Section -->
 
     <!-- ======= About Section ======= -->
     <section id="about" class="about">