Update conference details and review criteria in index.html and submission.html; adjust margins in style.css

Author: giammy677dev

css/style.css

@@ -274,6 +274,11 @@ h2.section-title::after {
   justify-content: center;
   gap: 2rem;
   flex-wrap: wrap;
+  margin-bottom: 1.5rem;
+}
+
+.hero-dates-venue {
+  margin-top: 0;
   margin-bottom: 2.5rem;
 }
 

index.html

@@ -33,7 +33,7 @@
       <div class="hero-badge">ECML PKDD 2026 Workshop</div>
       <h1><span class="highlight">AGENSYS</span></h1>
       <p class="hero-full-title">Workshop on Knowledge Discovery, Maintenance and Distributed Intelligence in Multi-Agent Systems</p>
-      <p class="hero-conference">In conjunction with <strong>ECML PKDD 2026</strong> &mdash; Naples, Italy, September 7&ndash;11, 2026</p>
+      <p class="hero-conference">In conjunction with <strong>ECML PKDD 2026</strong></p>
 
       <div class="hero-dates">
         <div class="hero-date-item">
@@ -44,6 +44,12 @@ <h1><span class="highlight">AGENSYS</span></h1>
           <div class="label">Notification</div>
           <div class="date">June 26, 2026</div>
         </div>
+        <div class="hero-date-item">
+          <div class="label">Camera Ready</div>
+          <div class="date">July 10, 2026</div>
+        </div>
+      </div>
+      <div class="hero-dates hero-dates-venue">
         <div class="hero-date-item">
           <div class="label">Conference</div>
           <div class="date">September 7&ndash;11, 2026</div>
@@ -77,7 +83,7 @@ <h2 class="section-title">Key Challenges</h2>
       <div class="challenges-grid">
         <div class="challenge-card">
           <div class="icon">&#x1F310;</div>
-          <h3>Grounding <span class="amp">&amp;</span> Coordination</h3>
+          <h3>Agentic Coordination</h3>
           <p>How does access to heterogeneous external knowledge affect collaborative strategies among agents operating across distributed sites? How do retrieval-augmented agents coordinate when evidence is partially inconsistent?</p>
         </div>
         <div class="challenge-card">
@@ -92,8 +98,8 @@ <h3>Knowledge Drift Detection</h3>
         </div>
         <div class="challenge-card">
           <div class="icon">&#x1F6E1;</div>
-          <h3>Mitigation <span class="amp">&amp;</span> Resilience</h3>
-          <p>Can uncertainty modeling, confidence-weighted voting, graph-based consistency checks, or Byzantine-tolerant aggregation reduce collective errors across knowledge and distributed training dimensions?</p>
+          <h3>Mitigation and Resilience</h3>
+          <p>Can uncertainty modeling, confidence-weighted voting, or graph-based consistency checks reduce collective errors across knowledge and distributed training dimensions?</p>
         </div>
         <div class="challenge-card">
           <div class="icon">&#x1F4A1;</div>
@@ -116,7 +122,7 @@ <h2 class="section-title">Topics of Interest</h2>
       <p class="section-subtitle">We welcome contributions on topics including, but not limited to:</p>
       <div class="topics-container">
         <div class="topic-group">
-          <h3>&#x1F9E0; Knowledge Discovery <span class="amp">&amp;</span> Grounding</h3>
+          <h3>&#x1F9E0; Knowledge Discovery</h3>
           <ul>
             <li>Knowledge grounding and external knowledge integration in multi-agent systems</li>
             <li>Learning and coordination under heterogeneous or inconsistent evidence</li>
@@ -129,19 +135,18 @@ <h3>&#x1F9E0; Knowledge Discovery <span class="amp">&amp;</span> Grounding</h3>
           </ul>
         </div>
         <div class="topic-group">
-          <h3>&#x1F5A7; Distributed Intelligence <span class="amp">&amp;</span> Decentralized Learning</h3>
+          <h3>&#x1F5A7; Decentralized Learning</h3>
           <ul>
             <li>Distributed and decentralized training of agentic architectures and foundation models</li>
             <li>Decentralized optimization, consensus mechanisms, and convergence guarantees</li>
             <li>Learning under heterogeneous, non-IID, and streaming data distributions</li>
             <li>Continual and online adaptation in distributed and edge-constrained settings</li>
             <li>Privacy-preserving and communication-efficient distributed learning</li>
             <li>Cross-silo, cross-domain, and cross-device adaptation</li>
-            <li>Robustness, adversarial resilience, and Byzantine-tolerant aggregation</li>
           </ul>
         </div>
         <div class="topic-group">
-          <h3>&#x2705; Evaluation, Trust <span class="amp">&amp;</span> Infrastructure</h3>
+          <h3>&#x2705; Evaluation</h3>
           <ul>
             <li>Evaluation frameworks and benchmarks for knowledge-grounded and distributed agent systems</li>
             <li>Trust, explainability, and certifiability in distributed generative and agentic systems</li>
@@ -190,13 +195,12 @@ <h2 class="section-title">Important Dates</h2>
   <section class="section" id="keynote">
     <div class="container">
       <h2 class="section-title">Confirmed Keynote Speaker</h2>
-      <p class="section-subtitle">Invited talk</p>
       <div class="keynote-card">
         <div class="organizer-avatar">DC</div>
         <div class="organizer-info">
           <h3>Prof. David Camacho</h3>
           <div class="organizer-role">Full Professor, Universidad Polit&eacute;cnica de Madrid</div>
-          <p class="organizer-bio">Head of the Applied Intelligence <span class="amp">&amp;</span> Data Analysis (AIDA) group. Expert in Multi-Agent Systems, Swarm Intelligence, and Computational Intelligence. Editor-in-Chief of Expert Systems (Wiley). His research targets agentic aerial intelligence, exploring how autonomous UAVs use reasoning and memory to collaborate in disaster response and infrastructure inspection.</p>
+          <p class="organizer-bio">Head of the Applied Intelligence and Data Analysis (AIDA) group. Expert in Multi-Agent Systems, Swarm Intelligence, and Computational Intelligence. Editor-in-Chief of Expert Systems (Wiley). His research targets agentic aerial intelligence, exploring how autonomous UAVs use reasoning and memory to collaborate in disaster response and infrastructure inspection.</p>
         </div>
       </div>
     </div>

submission.html

@@ -90,9 +90,9 @@ <h2 class="section-title">Review Process</h2>
       </div>
 
       <div class="review-criteria">
-        <div class="criteria-item">Novelty <span class="amp">&amp;</span> Originality</div>
+        <div class="criteria-item">Novelty and Originality</div>
         <div class="criteria-item">Technical Quality</div>
-        <div class="criteria-item">Relevance <span class="amp">&amp;</span> Timeliness</div>
+        <div class="criteria-item">Relevance and Timeliness</div>
         <div class="criteria-item">Clarity of Presentation</div>
         <div class="criteria-item">Reproducibility</div>
       </div>