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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Submission — Agentic AI for Social Good @ ACM GoodIT 2026</title>
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</head>
<body>
<!-- Navigation -->
<nav class="navbar" id="navbar">
<a href="index.html" class="nav-brand">
<i class="fas fa-robot"></i> AgenticAI4SocialGood
</a>
<button class="nav-toggle" id="navToggle" aria-label="Toggle navigation">
<i class="fas fa-bars"></i>
</button>
<ul class="nav-links" id="navLinks">
<li><a href="index.html">Home</a></li>
<li><a href="submission.html" class="active">Submission</a></li>
<li><a href="organizers.html">Organizers</a></li>
</ul>
</nav>
<!-- Hero (compact) -->
<section class="hero" style="min-height: 300px; padding-top: 110px; padding-bottom: 40px;">
<div class="hero-content">
<div class="hero-badge">Special Track @ ACM GoodIT 2026</div>
<h1 style="font-size: 2.4rem;">Submission <span>Guidelines</span></h1>
<p class="subtitle">Submit your research to the Agentic AI for Social Good special track</p>
</div>
</section>
<!-- Submission Portal -->
<section class="section section-alt">
<div class="container">
<div class="submission-portal">
<h3><i class="fas fa-paper-plane"></i> Submission Portal</h3>
<p>Please submit your papers through the official ACM GoodIT 2026 submission portal on HotCRP (shared with the main conference).</p>
<a href="https://goodit2026.hotcrp.com/" target="_blank" class="btn btn-white"><i class="fas fa-external-link-alt"></i> Submit Your Paper</a>
<p style="margin-top: 1rem; font-size: 0.85rem; opacity: 0.85;">See the full <a href="https://goodit2026.di.unipi.it/call_for_papers.html" target="_blank" style="color:#fff; text-decoration:underline;">GoodIT 2026 Submission Guidelines</a> for additional details.</p>
</div>
<!-- Submission Instructions -->
<h2 class="section-title"><i class="fas fa-file-signature"></i> Submission Instructions</h2>
<div class="section-divider"></div>
<p class="section-text">
Please follow the ACM GoodIT guidelines as detailed below. High-quality papers in double-column ACM format are invited.
The page limit for Special Track Papers should be a <strong>maximum of nine (9) pages</strong>.
</p>
<div class="info-box" style="margin-top: 1.5rem;">
<p><i class="fas fa-info-circle" style="color: var(--primary); margin-right: 0.4rem;"></i>
The conference language is English. Papers should present scientific, technical, and visionary research work, and must highlight the novelty as well as actual or expected impact, in particular the social impact. All papers using the ACM Template must be submitted online as a PDF document.
</p>
</div>
<h3 style="margin-top: 2.5rem; margin-bottom: 1rem; font-size: 1.15rem; font-weight: 700; color: var(--primary-dark);">
<i class="fas fa-clipboard-list" style="color: var(--primary); margin-right: 0.4rem;"></i> Conditions of Submission
</h3>
<ul class="guidelines-list">
<li>The list of authors is not changed after the paper has been submitted for review.</li>
<li>Following acceptance, authors act on feedback and comments provided by the TPC (at least 3 evaluations), prior to submitting the camera-ready version.</li>
<li>Presenters act on feedback provided by the TPC, Track chair, and/or Session Chairs to ensure high quality presentations during the event (in-person presentations).</li>
<li>Presenters register and pay the participant's fee by the deadline prior to submitting the final version of the paper.</li>
</ul>
</div>
</section>
<!-- Review Process & Criteria -->
<section class="section">
<div class="container">
<h2 class="section-title"><i class="fas fa-search"></i> Review Process</h2>
<div class="section-divider"></div>
<p class="section-text">
All submissions will undergo a <strong>single-blind peer review process</strong>. Each submission will be reviewed by at least three members of the program committee with relevant expertise spanning AI systems, social computing, ethics, and domain applications.
</p>
<p class="section-text" style="margin-top: 1rem;">
Reviews will assess technical quality, societal relevance, clarity of contribution, and alignment with the track's focus on human-centred agentic AI for social good. The review process will emphasize <strong>interdisciplinary merit</strong>, valuing contributions that bridge technical innovation with demonstrated or credible social impact.
</p>
<h3 style="margin-top: 2.5rem; margin-bottom: 0.75rem; font-size: 1.15rem; font-weight: 700; color: var(--primary-dark);">
<i class="fas fa-star" style="color: var(--primary); margin-right: 0.4rem;"></i> Evaluation Criteria
</h3>
<div class="criteria-grid">
<div class="criteria-item">
<i class="fas fa-bullseye"></i>
Relevance & Timeliness
</div>
<div class="criteria-item">
<i class="fas fa-flask"></i>
Methodology
</div>
<div class="criteria-item">
<i class="fas fa-lightbulb"></i>
Novelty & Originality
</div>
<div class="criteria-item">
<i class="fas fa-pen-fancy"></i>
Writing Quality
</div>
<div class="criteria-item">
<i class="fas fa-tags"></i>
Topic Suitability
</div>
</div>
<div class="info-box" style="margin-top: 2rem;">
<p>
<i class="fas fa-info-circle" style="color: var(--primary); margin-right: 0.4rem;"></i>
Borderline papers will be discussed among reviewers and track chairs to ensure fair evaluation. Authors of accepted papers will be invited to present their work in a dedicated track session.
</p>
</div>
</div>
</section>
<!-- ACM Template -->
<section class="section section-alt">
<div class="container">
<h2 class="section-title"><i class="fas fa-file-code"></i> ACM Template</h2>
<div class="section-divider"></div>
<p class="section-text">
Authors are required to use the <strong>double-column ACM format</strong>. Templates are available for Microsoft Word, LaTeX, and Overleaf. Submission is always required in PDF format.
</p>
<div style="margin-top: 1.5rem;">
<a href="https://www.acm.org/publications/proceedings-template" target="_blank" class="btn btn-primary">
<i class="fas fa-download"></i> ACM Proceedings Template
</a>
</div>
</div>
</section>
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<p>Agentic AI for Social Good — Special Track @ <a href="https://goodit2026.di.unipi.it/" target="_blank">ACM GoodIT 2026</a></p>
<p style="font-size:0.8rem; opacity:0.7; margin-top:0.25rem;">ACM SIGCAS International Conference on Information Technology for Social Good</p>
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