{"id":8127,"date":"2026-05-11T12:06:25","date_gmt":"2026-05-11T06:36:25","guid":{"rendered":"https:\/\/www.aimlsystems.org\/2026\/?page_id=8127"},"modified":"2026-05-18T11:06:08","modified_gmt":"2026-05-18T05:36:08","slug":"workshop-explainable-ai-for-astrophysics","status":"publish","type":"page","link":"https:\/\/www.aimlsystems.org\/2026\/workshop-explainable-ai-for-astrophysics\/","title":{"rendered":"Workshop &#8211; Explainable AI for Astrophysics"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; fullwidth=&#8221;on&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; custom_margin=&#8221;-90px||||false|false&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_fullwidth_code _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;]<link rel=\"stylesheet\" href=\"https:\/\/cdnjs.cloudflare.com\/ajax\/libs\/font-awesome\/6.4.2\/css\/all.min.css\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div id=\"workshop-detail-page\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"dark-overlay\"><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"circuit-lines\"><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"workshop-container\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"workshop-hero\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"badges\"><!-- [et_pb_line_break_holder] --><span class=\"badge-type\">HALF DAY WORKSHOP<\/span><!-- [et_pb_line_break_holder] --><span class=\"badge-status\"><i class=\"fas fa-file-alt\"><\/i> ACCEPTING ABSTRACTS<\/span><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<h1 class=\"ws-main-title\">Workshop &#8211; XAI Astro<\/h1>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<h2 class=\"ws-sub-title glow-text-pink\">Explainable AI for Astrophysics<\/h2>\n<p><!-- [et_pb_line_break_holder] --><pee class=\"ws-tagline\">Transparent and physically meaningful AI systems for scientific discovery<\/pee><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"accent-line scanner-animation\"><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"workshop-layout\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"ws-main-content\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"content-section\"><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"section-title\"><i class=\"fas fa-info-circle\"><\/i> Workshop Description<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"text-block\"><!-- [et_pb_line_break_holder] --><pee>Modern astrophysics increasingly relies on deep learning systems to process large, high-dimensional datasets. However, the inherent black-box nature of many AI models presents a significant barrier to scientific trust. Astrophysicists require more than accurate predictions: they need interpretable insights that are consistent with physical laws and scientific reasoning.<\/pee><!-- [et_pb_line_break_holder] --><pee>This workshop addresses this bottleneck by exploring Explainable AI (XAI) methods tailored to astrophysical research. Its focus is on the design, evaluation, and implementation of AI architectures engineered for rigorous scientific environments and large-scale astronomical data pipelines.<\/pee><!-- [et_pb_line_break_holder] --><pee>While the main AIMLSystems conference tracks typically address generalized AI infrastructure or broad algorithmic performance, this workshop focuses on the unique constraints of applying AI to the physical sciences. It aims to bring together machine learning researchers, astrophysicists, and data scientists to discuss how transparent and physically meaningful AI systems can support scientific discovery.<\/pee><!-- [et_pb_line_break_holder] --><pee><strong>Impact:<\/strong> The novelty of the workshop lies in its interdisciplinary approach. Its expected impact is to provide a roadmap for shifting astrophysics research from using AI as a statistical tool to using it as a validated, interpretable, and transparent engine for theoretical discovery.<\/pee><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"content-section\"><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"section-title\"><i class=\"fas fa-file-upload\"><\/i> Submission Details<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"glass-card\" style=\"padding: 25px;\"><!-- [et_pb_line_break_holder] --><\/p>\n<ul class=\"topic-list\" style=\"margin-bottom: 0;\"><!-- [et_pb_line_break_holder] --><\/p>\n<li><strong>Abstract Length:<\/strong> Maximum 1000 words<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><strong>Submission Platform:<\/strong> OpenReview (select the Workshop Track)<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><strong>Abstract Deadline:<\/strong> June 8, 2026 (11:59 PM AoE)<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><strong>Notification:<\/strong> July 15, 2026<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/ul>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"content-section\"><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"section-title\"><i class=\"fas fa-clock\"><\/i> Tentative Schedule<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"glass-card schedule-card\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row header-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">Time<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\">Event<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\">Welcome and Opening Remarks<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row highlight-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\"><strong>Invited Talk 1<\/strong><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row highlight-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\"><strong>Invited Talk 2<\/strong><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row highlight-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\"><strong>Invited Talk 3<\/strong><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\">Technical Paper Presentations<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row break-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\"><i class=\"fas fa-coffee\"><\/i> Coffee Break<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row panel-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\"><strong>Panel Discussion:<\/strong> &#8220;How Explainable AI Can Shape Astrophysics Research&#8221; &#038; Open Q&#038;A<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"schedule-row\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"time-col\">[TBD]<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"event-col\">Closing Remarks<\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"content-section\"><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"section-title\"><i class=\"fas fa-list-ul\"><\/i> Format &#038; Invited Speakers<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"text-block glass-card\" style=\"padding: 25px;\"><!-- [et_pb_line_break_holder] --><pee style=\"margin-top: 0; color: var(--theme); font-weight: 700; text-transform: uppercase; letter-spacing: 1px;\">Workshop Format<\/pee><!-- [et_pb_line_break_holder] --><\/p>\n<ul class=\"topic-list\" style=\"margin-bottom: 30px;\"><!-- [et_pb_line_break_holder] --><\/p>\n<li>Three 30-minute invited talks from researchers in AI and astrophysics<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li>Six 15-minute oral presentations of accepted peer-reviewed papers<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li>A 45-minute interactive panel discussion<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><pee style=\"margin-top: 0; color: var(--theme); font-weight: 700; text-transform: uppercase; letter-spacing: 1px;\">Invited Institutions<\/pee><!-- [et_pb_line_break_holder] --><pee>The workshop plans to invite prominent researchers from institutions such as:<\/pee><!-- [et_pb_line_break_holder] --><\/p>\n<ul class=\"topic-list\" style=\"margin-bottom: 0;\"><!-- [et_pb_line_break_holder] --><\/p>\n<li>Italian National Institute for Astrophysics (INAF)<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li>Harvard-Smithsonian Center for Astrophysics<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li>Other international groups working at the intersection of AI, astrophysics, and scientific machine learning<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/ul>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"content-section\"><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"section-title\"><i class=\"fas fa-users\"><\/i> Workshop Organizers<\/h3>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chairs-grid\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"glass-card chair-card\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-header\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-avatar\"><i class=\"fas fa-user-tie\"><\/i><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div><!-- [et_pb_line_break_holder] --><\/p>\n<h4 class=\"chair-name\">Nicol\u00f2 Oreste Pinciroli Vago<\/h4>\n<p><!-- [et_pb_line_break_holder] --><pee class=\"chair-affil\">Politecnico di Milano<\/pee><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-bio\"><!-- [et_pb_line_break_holder] -->Nicol\u00f2 Pinciroli is a PhD student at Politecnico di Milano, specializing in the intersection of artificial intelligence and astronomy. His research focuses on developing and applying machine learning methods to astronomical datasets. He is involved in cross-disciplinary initiatives aimed at making deep learning models interpretable for domain experts, ensuring that AI-driven discoveries in astrophysics are scientifically reliable and physically consistent.<!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"glass-card chair-card\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-header\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-avatar\"><i class=\"fas fa-user-tie\"><\/i><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div><!-- [et_pb_line_break_holder] --><\/p>\n<h4 class=\"chair-name\">Mario Pasquato<\/h4>\n<p><!-- [et_pb_line_break_holder] --><pee class=\"chair-affil\">INAF (Istituto Nazionale di Astrofisica)<\/pee><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"chair-bio\"><!-- [et_pb_line_break_holder] -->Mario Pasquato is a staff researcher at IASF-Milano, INAF. He has co-authored more than thirty papers, focusing on the application of interpretable machine learning to astronomy. He pioneered the introduction of causal discovery methods to astrophysics and cosmology, contributing to the solution of a long-standing problem in galaxy evolution: the coevolution of supermassive black holes and their host galaxies. Before joining INAF, he was a Marie Curie Fellow at UdeM and MILA in Montr\u00e9al, collaborating with Turing Award winner Prof. Yoshua Bengio.<!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"ws-sidebar\"><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"glass-card sticky-sidebar\"><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"sidebar-title\">Important Dates<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<ul class=\"dates-list\"><!-- [et_pb_line_break_holder] --><\/p>\n<li><!-- [et_pb_line_break_holder] --><span class=\"date-label\">Abstract Deadline<\/span><!-- [et_pb_line_break_holder] --><span class=\"date-val glow-pink\">June 8, 2026<\/span><!-- [et_pb_line_break_holder] --><\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><!-- [et_pb_line_break_holder] --><span class=\"date-label\">Notification<\/span><!-- [et_pb_line_break_holder] --><span class=\"date-val\">July 15, 2026<\/span><!-- [et_pb_line_break_holder] --><\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><!-- [et_pb_line_break_holder] --><span class=\"date-label\">Workshop Date<\/span><!-- [et_pb_line_break_holder] --><span class=\"date-val\">[TBD]<\/span><!-- [et_pb_line_break_holder] --><\/li>\n<p><!-- [et_pb_line_break_holder] --><\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<div class=\"sidebar-divider\"><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<h3 class=\"sidebar-title\">Quick Info<\/h3>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<ul class=\"quick-info-list\"><!-- [et_pb_line_break_holder] --><\/p>\n<li><i class=\"fas fa-map-marker-alt\"><\/i> <strong>Venue:<\/strong> AIMLSystems 2026, Lake Como, Italy<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><i class=\"fas fa-clock\"><\/i> <strong>Duration:<\/strong> Half-Day<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/p>\n<li><i class=\"fas fa-book-open\"><\/i> <strong>Proceedings:<\/strong> Yes<\/li>\n<p><!-- [et_pb_line_break_holder] --><\/ul>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><a href=\"https:\/\/openreview.net\/group?id=ACM.org%2FAIMLSystems%2F2026%2FConference\" target=\"_blank\" class=\"ws-submit-btn\"><!-- [et_pb_line_break_holder] --><i class=\"fas fa-external-link-alt\"><\/i> Submit via OpenReview<!-- [et_pb_line_break_holder] --><\/a><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><\/div>\n<p><!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] --><\/p>\n<style><!-- [et_pb_line_break_holder] -->\/* === CORE & BACKGROUND === *\/<!-- [et_pb_line_break_holder] -->#workshop-detail-page {<!-- [et_pb_line_break_holder] -->--cyan: #00e5ff; --pink: #ff2a85; --orange: #ff7a00; --bg: #0b0d17;<!-- [et_pb_line_break_holder] -->--glass: rgba(255, 255, 255, 0.03); --border: rgba(255, 255, 255, 0.08);<!-- [et_pb_line_break_holder] -->\/* Switch active theme to Pink for this workshop *\/<!-- [et_pb_line_break_holder] -->--theme: var(--pink);<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->background: var(--bg) url('https:\/\/www.aimlsystems.org\/2026\/wp-content\/uploads\/2026\/01\/circuit-board-bg.jpg') fixed center\/cover;<!-- [et_pb_line_break_holder] -->padding: 150px 5% 100px; font-family: 'Poppins', sans-serif; color: #fff; position: relative;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.dark-overlay { position: absolute; top:0; left:0; right:0; bottom:0; background: radial-gradient(circle at center, rgba(11, 13, 23, 0.8) 0%, #0b0d17 100%); z-index: 0; }<!-- [et_pb_line_break_holder] -->.circuit-lines {<!-- [et_pb_line_break_holder] -->position: absolute; top: 0; left: 0; width: 100%; height: 100%; pointer-events: none; z-index: 1;<!-- [et_pb_line_break_holder] -->background-image: linear-gradient(rgba(255, 42, 133, 0.03) 1px, transparent 1px), linear-gradient(90deg, rgba(255, 42, 133, 0.03) 1px, transparent 1px);<!-- [et_pb_line_break_holder] -->background-size: 50px 50px;<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->.workshop-container { position: relative; z-index: 2; max-width: 1300px; margin: 0 auto; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === HERO === *\/<!-- [et_pb_line_break_holder] -->.workshop-hero { text-align: left; margin-bottom: 60px; padding-bottom: 40px; border-bottom: 1px solid rgba(255,255,255,0.1); }<!-- [et_pb_line_break_holder] -->.badges { display: flex; gap: 15px; margin-bottom: 20px; }<!-- [et_pb_line_break_holder] -->.badge-type { background: rgba(255,42,133,0.15); color: var(--theme); border: 1px solid var(--theme); padding: 5px 12px; border-radius: 6px; font-size: 12px; font-weight: 700; letter-spacing: 1px; }<!-- [et_pb_line_break_holder] -->.badge-status { background: rgba(63, 185, 80, 0.15); color: #58d68d; border: 1px solid #3fb950; padding: 5px 12px; border-radius: 6px; font-size: 12px; font-weight: 700; letter-spacing: 1px; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.ws-main-title { font-size: 42px; font-weight: 800; margin: 0 0 10px 0; color: #fff; }<!-- [et_pb_line_break_holder] -->.ws-sub-title { font-size: 28px; font-weight: 700; margin: 0 0 15px 0; }<!-- [et_pb_line_break_holder] -->.glow-text-pink { color: var(--theme); text-shadow: 0 0 20px rgba(255,42,133,0.4); }<!-- [et_pb_line_break_holder] -->.ws-tagline { font-size: 20px; color: rgba(255,255,255,0.7); margin: 0; font-weight: 300; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.accent-line { width: 100px; height: 4px; background: linear-gradient(90deg, var(--theme), var(--cyan)); margin-top: 30px; border-radius: 10px; position: relative; overflow: hidden; }<!-- [et_pb_line_break_holder] -->.accent-line.scanner-animation::after { content: ''; position: absolute; top: 0; left: -100%; width: 50%; height: 100%; background: linear-gradient(90deg, transparent, #fff, transparent); animation: scanLine 2s linear infinite; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === LAYOUT === *\/<!-- [et_pb_line_break_holder] -->.workshop-layout { display: flex; gap: 50px; align-items: flex-start; }<!-- [et_pb_line_break_holder] -->.ws-main-content { flex: 2; display: flex; flex-direction: column; gap: 60px; }<!-- [et_pb_line_break_holder] -->.ws-sidebar { flex: 1; min-width: 320px; position: sticky; top: 100px; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === MAIN CONTENT TYPOGRAPHY === *\/<!-- [et_pb_line_break_holder] -->.section-title { font-size: 24px; font-weight: 700; margin: 0 0 25px 0; color: #fff; display: flex; align-items: center; gap: 12px; border-bottom: 1px solid rgba(255,255,255,0.1); padding-bottom: 15px; }<!-- [et_pb_line_break_holder] -->.section-title i { color: var(--theme); }<!-- [et_pb_line_break_holder] -->.text-block p { font-size: 16px; line-height: 1.8; color: rgba(255,255,255,0.8); margin-bottom: 20px; }<!-- [et_pb_line_break_holder] -->.text-block strong { color: #fff; }<!-- [et_pb_line_break_holder] -->.topic-list { list-style-type: none; padding: 0; margin: 0 0 25px 0; }<!-- [et_pb_line_break_holder] -->.topic-list li { font-size: 15px; color: rgba(255,255,255,0.8); margin-bottom: 12px; padding-left: 25px; position: relative; line-height: 1.6; }<!-- [et_pb_line_break_holder] -->.topic-list li::before { content: '\u25ba'; position: absolute; left: 0; top: 2px; color: var(--theme); font-size: 10px; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === GLASS CARD === *\/<!-- [et_pb_line_break_holder] -->.glass-card { background: var(--glass); backdrop-filter: blur(20px); border: 1px solid var(--border); border-radius: 16px; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === SCHEDULE TABLE === *\/<!-- [et_pb_line_break_holder] -->.schedule-card { padding: 0; overflow: hidden; }<!-- [et_pb_line_break_holder] -->.schedule-row { display: flex; padding: 15px 25px; border-bottom: 1px solid rgba(255,255,255,0.05); align-items: flex-start; }<!-- [et_pb_line_break_holder] -->.schedule-row:last-child { border-bottom: none; }<!-- [et_pb_line_break_holder] -->.header-row { background: rgba(255,42,133,0.1); font-weight: 700; color: var(--theme); text-transform: uppercase; letter-spacing: 1px; font-size: 14px; }<!-- [et_pb_line_break_holder] -->.time-col { flex: 0 0 100px; color: var(--cyan); font-weight: 600; font-size: 15px; }<!-- [et_pb_line_break_holder] -->.event-col { flex: 1; color: rgba(255,255,255,0.9); font-size: 15px; line-height: 1.5; }<!-- [et_pb_line_break_holder] -->.event-col strong { color: #fff; }<!-- [et_pb_line_break_holder] -->.highlight-row { background: rgba(0,229,255,0.05); }<!-- [et_pb_line_break_holder] -->.break-row { background: rgba(255,255,255,0.02); font-style: italic; color: #aaa; }<!-- [et_pb_line_break_holder] -->.panel-row { background: rgba(255,42,133,0.05); }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === CHAIRS === *\/<!-- [et_pb_line_break_holder] -->.chairs-grid { display: flex; flex-direction: column; gap: 25px; }<!-- [et_pb_line_break_holder] -->.chair-card { padding: 30px; transition: 0.3s; }<!-- [et_pb_line_break_holder] -->.chair-card:hover { border-color: rgba(255,42,133,0.3); transform: translateX(5px); }<!-- [et_pb_line_break_holder] -->.chair-header { display: flex; align-items: center; gap: 20px; margin-bottom: 15px; }<!-- [et_pb_line_break_holder] -->.chair-avatar { width: 60px; height: 60px; background: rgba(255,42,133,0.1); border: 2px solid var(--theme); border-radius: 50%; display: flex; align-items: center; justify-content: center; font-size: 24px; color: var(--theme); flex-shrink: 0; }<!-- [et_pb_line_break_holder] -->.chair-name { font-size: 20px; font-weight: 700; color: #fff; margin: 0 0 5px 0; }<!-- [et_pb_line_break_holder] -->.chair-affil { font-size: 13px; color: var(--theme); margin: 0; text-transform: uppercase; letter-spacing: 1px; }<!-- [et_pb_line_break_holder] -->.chair-bio { font-size: 14px; line-height: 1.7; color: rgba(255,255,255,0.7); }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* === SIDEBAR === *\/<!-- [et_pb_line_break_holder] -->.sticky-sidebar { padding: 35px; border-top: 4px solid var(--theme); }<!-- [et_pb_line_break_holder] -->.sidebar-title { font-size: 18px; font-weight: 700; color: #fff; margin: 0 0 20px 0; text-transform: uppercase; letter-spacing: 1px; }<!-- [et_pb_line_break_holder] -->.sidebar-divider { height: 1px; background: rgba(255,255,255,0.1); margin: 30px 0; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.dates-list, .quick-info-list { list-style: none; padding: 0; margin: 0; }<!-- [et_pb_line_break_holder] -->.dates-list li { display: flex; flex-direction: column; margin-bottom: 20px; }<!-- [et_pb_line_break_holder] -->.dates-list li:last-child { margin-bottom: 0; }<!-- [et_pb_line_break_holder] -->.date-label { font-size: 12px; color: rgba(255,255,255,0.5); text-transform: uppercase; letter-spacing: 1px; margin-bottom: 4px; }<!-- [et_pb_line_break_holder] -->.date-val { font-size: 16px; font-weight: 600; color: #fff; }<!-- [et_pb_line_break_holder] -->.glow-pink { color: var(--theme); text-shadow: 0 0 10px rgba(255,42,133,0.4); }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.quick-info-list li { font-size: 14px; color: rgba(255,255,255,0.8); margin-bottom: 15px; display: flex; align-items: flex-start; gap: 10px; line-height: 1.5; }<!-- [et_pb_line_break_holder] -->.quick-info-list i { color: var(--theme); margin-top: 3px; width: 16px; text-align: center; }<!-- [et_pb_line_break_holder] -->.quick-info-list strong { color: #fff; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->.ws-submit-btn { display: block; width: 100%; text-align: center; background: rgba(255,42,133,0.1); border: 2px solid var(--theme); color: var(--theme); padding: 15px; border-radius: 8px; font-weight: 700; text-transform: uppercase; letter-spacing: 1px; text-decoration: none; margin-top: 30px; transition: 0.3s; }<!-- [et_pb_line_break_holder] -->.ws-submit-btn:not(.disabled-btn):hover { background: var(--theme); color: #fff; box-shadow: 0 0 20px rgba(255,42,133,0.4); }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* Disabled Button Style (if needed later) *\/<!-- [et_pb_line_break_holder] -->.disabled-btn { background: rgba(255, 255, 255, 0.05); border: 2px solid rgba(255, 255, 255, 0.1); color: rgba(255, 255, 255, 0.3); cursor: not-allowed; pointer-events: none; box-shadow: none; }<!-- [et_pb_line_break_holder] -->.submit-note { font-size: 12px; text-align: center; color: rgba(255,255,255,0.4); margin-top: 10px; }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->@keyframes scanLine { 0% { left: -100%; } 100% { left: 100%; } }<!-- [et_pb_line_break_holder] --><!-- [et_pb_line_break_holder] -->\/* RESPONSIVE *\/<!-- [et_pb_line_break_holder] -->@media (max-width: 980px) {<!-- [et_pb_line_break_holder] -->.workshop-layout { flex-direction: column; }<!-- [et_pb_line_break_holder] -->.ws-sidebar { width: 100%; position: static; }<!-- [et_pb_line_break_holder] -->.ws-main-title { font-size: 32px; }<!-- [et_pb_line_break_holder] -->.ws-sub-title { font-size: 22px; }<!-- [et_pb_line_break_holder] -->#workshop-detail-page { padding-top: 120px; }<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] -->@media (max-width: 600px) {<!-- [et_pb_line_break_holder] -->.schedule-row { flex-direction: column; padding: 15px; gap: 5px; }<!-- [et_pb_line_break_holder] -->.time-col { font-size: 13px; color: rgba(255,255,255,0.5); }<!-- [et_pb_line_break_holder] -->.chair-header { flex-direction: column; text-align: center; }<!-- [et_pb_line_break_holder] -->}<!-- [et_pb_line_break_holder] --><\/style>\n<p>[\/et_pb_fullwidth_code][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>HALF DAY WORKSHOP ACCEPTING ABSTRACTSWorkshop &#8211; XAI AstroExplainable AI for AstrophysicsTransparent and physically meaningful AI systems for scientific discovery Workshop DescriptionModern astrophysics increasingly relies on deep learning systems to process large, high-dimensional datasets. However, the inherent black-box nature of many AI models presents a significant barrier to scientific trust. Astrophysicists require more than accurate predictions: [&hellip;]<\/p>\n","protected":false},"author":11,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-8127","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/8127","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/users\/11"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/comments?post=8127"}],"version-history":[{"count":3,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/8127\/revisions"}],"predecessor-version":[{"id":8148,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/8127\/revisions\/8148"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/media?parent=8127"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}