retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=40&ordering=-event__contact
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71916,
            "title": "AI Center Seminar - AI for Health series - Prof. Li CHEN",
            "slug": "ai-center-seminar-ai-for-health-series-prof-li-c-2",
            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-ai-for-health-series-prof-li-c-2",
            "visual_url": "https://memento.epfl.ch/image/33234/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33234/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-06-02",
            "end_date": "2026-06-02",
            "start_time": "10:30:00",
            "end_time": "11:30:00",
            "description": "<p>The talk is jointly organized by the <a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> and the EPFL <a href=\"https://www.epfl.ch/labs/gr-pu/\">Human-Computer Interaction Group</a> as part of the AI for Health seminar series.<br>\r\n<br>\r\n<strong><em>Hosting professor: Prof. Pearl Pu (GR-PU)</em></strong><br>\r\n<br>\r\n<strong>Title</strong><br>\r\nBeyond Recommendations: Designing Conversational Music Agents for Self-Awareness and Psychological Well-being<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nAs the demand for scalable mental health tools grows, the potential of Large Language Models (LLMs) lies in their ability to move beyond generic retrieval toward deeply adaptive, trustworthy support. This talk explores how music-driven conversational systems can bridge the gap between algorithmic recommendation and psychological intervention. The journey begins with establishing a foundation of trust through user-centric exploration. Using conversational music recommenders as a case study, I will discuss how critiquing strategies—such as progressive and cascading suggestions—shape user perceptions of helpfulness and serendipity. However, because trust is personal, I demonstrate how individual traits, including personality and trust propensity, dictate whether a user thrives under system-led or user-led initiatives.<br>\r\nBuilding on this rapport, the talk examines how these interfaces transition from suggesting songs to fostering psychological well-being. I will illustrate how music acts as a catalyst for self-awareness, using agents to guide users through emotional resonance and self-reflection. Furthermore, I will share findings on the role of generative AI in music-based reminiscence for older adults, where adaptive dialogue helps overcome cognitive barriers to memory recall. Collectively, these studies provide a roadmap for designing AI that moves beyond the playlist, transforming music-based chatbots into sustained partners for emotional and psychological health.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nProfessor Li Chen is currently a Full Professor and Associate Head (Research) in the Department of Computer Science at Hong Kong Baptist University (HKBU). She obtained her PhD degree in Computer Science from the Swiss Federal Institute of Technology in Lausanne (EPFL), Switzerland, and her Bachelor's and Master's degrees from Peking University, China. Her recent research focus has mainly been on conversational AI, explainable AI, recommender systems, and human-computer interaction. She has authored and co-authored over 160 publications, with over 13,000 citations (H-index 53). Her co-authored papers have received several awards, such as the RecSys’24 Best Student Paper Award, CHI’22 Honourable Mention Award, UMAP’20 Best Student Paper Award, UMUAI 2018 Best Paper Award, and UMAP’15 Best Student Paper Award. She received the President’s Award for Outstanding Performance in Teaching (Individual) 2024/25 and the President’s Award for Outstanding Performance in Research Supervision 2022/23. She has been included in the list of the world’s top 2% most-cited scientists by Stanford University since 2021, and the list of the Best Computer Science Scientists 2025/2026 by Research.com.<br>\r\n<br>\r\nShe is now an ACM senior member, founding co-editor-in-chief of ACM Transactions on Recommender Systems (TORS), steering committee member of ACM Conference on Recommender Systems (RecSys), associate editor of International Journal of Human-Computer Studies (IJHCS), editorial board member of User Modeling and User-Adapted Interaction Journal (UMUAI), and associate editor of ACM Transactions on Interactive Intelligent Systems (TiiS). She has also served as program co-chair of IUI’26, general co-chair of ACM RecSys’23, program co-chair of ACM RecSys’20, and program co-chair of ACM UMAP’18.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-05-21T11:18:18",
            "last_modification_date": "2026-05-21T13:50:39",
            "link_label": "Zoom Link",
            "link_url": "https://epfl.zoom.us/j/67788354916?pwd=ToPdGZ0KqvykXwRRh4kf2HUJIBz1Pz.1",
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            "cancel_reason": "",
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            "speaker": "Professor Li Chen",
            "organizer": "<a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> &amp; <a href=\"https://www.epfl.ch/labs/gr-pu/\">Human-Computer Interaction Group</a> ",
            "contact": "Nicolas Machado",
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            "keywords": "",
            "file": null,
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        {
            "id": 71787,
            "title": "First Swiss Ultra High Field MRI Symposium",
            "slug": "first-swiss-ultra-high-field-mri-symposium",
            "event_url": "https://memento.epfl.ch/event/first-swiss-ultra-high-field-mri-symposium",
            "visual_url": "https://memento.epfl.ch/image/33110/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-03",
            "end_date": "2026-06-03",
            "start_time": "09:00:00",
            "end_time": "17:30:00",
            "description": "<p>Ultra-high-field MRI is delivering tangible clinical impact. With four 7T systems nationwide, Switzerland is uniquely positioned to drive efficient translational innovation in advanced imaging. This first national UHF MRI symposium brings together the experts shaping the future of UHF MRI in Switzerland and beyond. The event aims to address unmet clinical needs, spark new collaborative projects, and strengthen a community dedicated to advancing patient care through innovation. The CIBM is proud to be one of the organizers of the event, which will take place at the Sitem-insel on in Bern on June 3, 2026.\r\n</p><div class=\"animated animated-slow e-con e-con-full e-flex e-lazyloaded e-parent elementor-element elementor-element-72ea616 fadeInRight\">\r\n<div class=\"e-child e-con e-con-boxed e-flex elementor-element elementor-element-c597026\">\r\n<div class=\"e-con-inner\">\r\n<div class=\"e-child e-con e-con-full e-flex elementor-element elementor-element-24db839\">\r\n<div class=\"elementor-element elementor-element-6792407 elementor-widget elementor-widget-text-editor\">\r\n<div class=\"elementor-widget-container\">\r\n<div class=\"Vq6kJx Z_l5lU comp-mhnlzx65 ku3DBC qvSjx3 wixui-rich-text zQ9jDz\"><strong>Audience</strong>\r\n<ul>\r\n\t<li>Clinical and scientific leaders in (UHF) MRI.</li>\r\n\t<li>Translational researchers in neuro, MSK, body, cardiac, and oncology.</li>\r\n\t<li>MR physicists, RF engineers, and AI/reconstruction innovators.</li>\r\n\t<li>Industry and strategic partners across hardware, software, safety, and services.</li>\r\n</ul>\r\n<strong>Program Highlights</strong>\r\n\r\n<ul>\r\n\t<li>Keynotes &amp; panels: advancing UHF MRI toward clinical value (safety, SAR, regulation, harmonization).</li>\r\n\t<li>Challenge session: unmet clinical needs and solution pitches.</li>\r\n\t<li>Strategies for new collaborative projects.</li>\r\n\t<li>Building a community driving patient impact through innovation and synergy.</li>\r\n</ul>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>",
            "image_description": "First Swiss Ultra High Field MRI Symposium",
            "creation_date": "2026-05-04T13:18:36",
            "last_modification_date": "2026-05-04T13:21:21",
            "link_label": "Website of the event",
            "link_url": "https://swiss-uhf-mri.cibm.ch/",
            "canceled": "False",
            "cancel_reason": "",
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            "organizer": "",
            "contact": "Miguel Molina",
            "is_internal": "False",
            "theme": "",
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                "en_label": "General public"
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                "id": 3,
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                "en_label": "Free"
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            "keywords": "7T MRI scanner, fMRI, UHF, Biomedical imaging",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120632/",
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        {
            "id": 71788,
            "title": "EEG Research Day 2026",
            "slug": "eeg-research-day-2026",
            "event_url": "https://memento.epfl.ch/event/eeg-research-day-2026",
            "visual_url": "https://memento.epfl.ch/image/33111/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-08",
            "end_date": "2026-06-08",
            "start_time": "09:00:00",
            "end_time": "18:00:00",
            "description": "<p>We are delighted to announce the EEG Research Day 2026 that will be held on June 8, 2026 at the Charlotte Olivier auditorium, CHUV Lausanne. <br>\r\nThe one-day event brings together the EEG community across the CIBM founding partner institutions CHUV, UNIL, EPFL, UNIGE and HUG. The aim is to provide new opportunities for collaborations and improve the visibility of the EEG research in the Lemanic region.</p>",
            "image_description": "EEG Research Day 2026",
            "creation_date": "2026-05-04T13:21:07",
            "last_modification_date": "2026-05-04T13:24:27",
            "link_label": "Website of the event",
            "link_url": "https://cibm.ch/event/eeg-research-day-2026/",
            "canceled": "False",
            "cancel_reason": "",
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            "speaker": "",
            "organizer": "",
            "contact": "Miguel Molina",
            "is_internal": "False",
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                "fr_label": "Tout public",
                "en_label": "General public"
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                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "EEG imaging Neuroimaging",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120633/",
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        {
            "id": 71789,
            "title": "MRI Research Day 2026",
            "slug": "mri-research-day-2026",
            "event_url": "https://memento.epfl.ch/event/mri-research-day-2026",
            "visual_url": "https://memento.epfl.ch/image/33112/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-06-10",
            "end_date": "2026-06-10",
            "start_time": "09:00:00",
            "end_time": "18:00:00",
            "description": "<p>We are delighted to announce the MRI Research Day 2026, which will take place on June 10, 2026, at the Albert Renold Auditorium, CMU, University of Geneva.<br>\r\nThis one-day event brings together MRI experts from across the Lemanic region and provides a platform to review ongoing MRI projects, share experiences and challenges, and foster collaboration among physicists, physicians, and neuroscientists.</p>",
            "image_description": "MRI Research Day 2026",
            "creation_date": "2026-05-04T13:27:46",
            "last_modification_date": "2026-05-04T13:27:48",
            "link_label": "Website of the event",
            "link_url": "https://cibm.ch/event/mri-research-day-2026/",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
            "url_place_and_room": "",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "",
            "organizer": "",
            "contact": "Miguel Molina",
            "is_internal": "False",
            "theme": "",
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                "fr_label": "Tout public",
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            },
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "7T MRI scanner, fMRI, UHF, Biomedical imaging",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120634/",
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        {
            "id": 71934,
            "title": "Future of Health Grant",
            "slug": "future-of-health-grant-3",
            "event_url": "https://memento.epfl.ch/event/future-of-health-grant-3",
            "visual_url": "https://memento.epfl.ch/image/33245/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33245/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-07-31",
            "end_date": "2026-07-31",
            "start_time": "11:00:00",
            "end_time": "12:00:00",
            "description": "<p>The <strong>Future of Health Grant</strong> is a support program dedicated to accelerating early‑stage digital health startups developing solutions relevant to the Swiss healthcare system.<br>\r\nCreated by CSS and the EPFL Innovation Park, it combines equity‑free funding, expert guidance and access to healthcare stakeholders to help founders progress from prototype to real‑world validation.<br>\r\n<br>\r\n<strong>For whom</strong>\r\n</p><ul>\r\n\t<li>For early‑stage digital health startups developing solutions that can be applied within the Swiss healthcare system.</li>\r\n\t<li>Eligible teams may be based in Switzerland or abroad, provided their innovation is relevant to Swiss clinical, operational or preventive care contexts.</li>\r\n\t<li>The program targets founders at the prototype, MVP or early validation stage.</li>\r\n</ul>\r\n<strong>What you gain</strong>\r\n\r\n<ul>\r\n\t<li><strong>equity‑free financial support</strong> at three possible levels (CHF 10k, 30k or 50k), depending on project maturity and needs</li>\r\n\t<li>teams benefit from <strong>structured coaching</strong>, <strong>industry mentoring</strong></li>\r\n\t<li>access to <strong>paid specialists</strong> through the “CxO as a Service” model</li>\r\n\t<li>The program also facilitates <strong>real‑world validation</strong> opportunities with healthcare professionals, hospitals, insurers and ecosystem partners in Switzerland</li>\r\n</ul>\r\n<strong>How it works</strong><br>\r\n<br>\r\nThe program operates fully virtually and follows a milestone‑based approach. Selected startups receive regular guidance from experts in digital health, business development and regulatory pathways. Each team works toward defined objectives, with progress reviewed at set intervals. The program supports founders in strengthening their product, business model and clinical relevance.<br>\r\n<strong>Program context</strong><br>\r\n<br>\r\nLaunched in 2022, the Future of Health Grant is an initiative of <strong>CSS</strong> and the <strong>EPFL Innovation Park</strong>. Its mission is to accelerate the adoption of impactful digital health solutions by bridging early‑stage innovation with the needs of real healthcare systems.",
            "image_description": "",
            "creation_date": "2026-05-22T13:39:38",
            "last_modification_date": "2026-05-22T13:39:44",
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            "link_url": "https://future-of-health.org/",
            "canceled": "False",
            "cancel_reason": "",
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            "speaker": "",
            "organizer": "<a href=\"https://future-of-health.org/\">Future of Health Grant</a>, a programm powered by Fondation EPFL Innovation Park",
            "contact": "Mathilde Durvy <a href=\"mailto:[email protected]\">[email protected]</a>",
            "is_internal": "False",
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            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/120842/",
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                "id": 17,
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        {
            "id": 71903,
            "title": "Computer-aided proofs in first-order optimization, with applications to error feedback",
            "slug": "computer-aided-proofs-in-first-order-optimization",
            "event_url": "https://memento.epfl.ch/event/computer-aided-proofs-in-first-order-optimization",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "15:15:00",
            "end_time": "16:15:00",
            "description": "<p>First-order methods are widely used in optimization and machine learning, and their behavior is often analyzed through the spectrum of worst case convergence rates. Obtaining such guarantees is often difficult and both time consuming and error-prone. Starting with the work of Drori and Teboulle (2014), novel techniques have been used to gain numerical insights, leading to the release of various performance estimation (PE) software. <br>\r\n<br>\r\nIn this talk, I will show how various computer-aided techniques can be used to study first-order optimization methods in a systematic way. From performance estimation problems with automated Lyapunov discovery, to symbolic regression and computer algebra systems, novel tools completely reshape the way we approach theory of optimization. <br>\r\nAs a main example, I will focus on error feedback methods used with compressed communication in distributed optimization. While error feedback has been widely studied, existing theory often provides untight (thus unreliable)  bounds. I will present tight analyses with matching lower bounds that allow a fair comparison between error feedback schemes and standard compressed gradient descent, and help explain when error feedback is useful and when it is not.<br>\r\n<br>\r\nOverall, the talk aims to show how various computer-aided proofs can lead to clearer and more reliable insights into first-order optimization methods.<br>\r\n<br>\r\nBased on :<br>\r\n<a href=\"https://icml.cc/virtual/2026/poster/62713\" target=\"_blank\">A Tight Theory of Error Feedback Algorithms in Distributed Optimization,</a> DB Thomsen, A Taylor, A Dieuleveut<br>\r\nInternational Conference on Machine Learning (ICML 2026)<br>\r\n<a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:q3oQSFYPqjQC\" target=\"_blank\">Tight analyses of first-order methods with error feedback</a>, DB Thomsen, A Taylor, A Dieuleveut<br>\r\nAdvances in Neural Information Processing Systems (NeurIPS) (2025).<br>\r\n<a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:L8Ckcad2t8MC\" target=\"_blank\">PEPit: computer-assisted worst-case analyses of first-order optimization methods in Python</a><br>\r\nB Goujaud, C Moucer, F Glineur, JM Hendrickx, AB Taylor, A Dieuleveut<br>\r\nMathematical Programming Computation 16 (3), 337-367  (2024)<br>\r\n(eventually - as a detour) <a href=\"https://scholar.google.com/citations?view_op=view_citation&amp;hl=fr&amp;user=ge-OinUAAAAJ&amp;sortby=pubdate&amp;citation_for_view=ge-OinUAAAAJ:wbdj-CoPYUoC\" target=\"_blank\">Provable non-accelerations of the heavy-ball method</a> B Goujaud, A Taylor, A Dieuleveut, Mathematical Programming, 1-59  (2025)<br>\r\n </p>",
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            "speaker": "Aymeric Dieuleveut, Ecole Polytechnique, Institut Polytechnique de Paris",
            "organizer": "Myrto Limnios    ",
            "contact": "Maroussia Schaffner",
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        {
            "id": 70903,
            "title": "lunch&LEARN:  Learning with AI: Designing AI Tutors that foster learning in robotics and CS courses",
            "slug": "lunchlearn-learning-with-ai-designing-ai-tutors-th",
            "event_url": "https://memento.epfl.ch/event/lunchlearn-learning-with-ai-designing-ai-tutors-th",
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            "start_date": "2026-06-09",
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            "start_time": "12:15:00",
            "end_time": "13:00:00",
            "description": "<strong>// NEW DATE // This event has been rescheduled from 17 March to 9 June 2026!</strong><br>\r\n<br>\r\nHow can AI tutors be designed to support learning rather than shortcutting it?<br>\r\n<br>\r\nIn this presentation, Jérôme Brender (EPFL) will examine how undergraduate students learn with AI tutors in robotics and computer science courses.<br>\r\n<br>\r\nAcross multiple design iterations, he investigated how features such as course-grounded retrieval (RAG), Socratic questioning, and real-time prompt feedback, and debate chatbot, shape students’ engagement, prompting behavior, and learning outcomes.<br>\r\n<br>\r\nHis work focuses on how AI tutors can help students better understand course concepts and become more reflective and effective users of AI tools. The findings provide insights into designing AI tutors that foster critical thinking and support sustainable learning practices.",
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            "canceled": "False",
            "cancel_reason": "",
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            "speaker": "<a href=\"https://people.epfl.ch/jerome.brender?lang=en\">Jérôme Brender</a>",
            "organizer": "Center LEARN",
            "contact": "[email protected]",
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            "keywords": "lunch&LEARN, Center LEARN, teaching, learning",
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        },
        {
            "id": 70696,
            "title": "SUPER SANDWICH SEMINAR",
            "slug": "super-sandwich-seminar-357",
            "event_url": "https://memento.epfl.ch/event/super-sandwich-seminar-357",
            "visual_url": "https://memento.epfl.ch/image/32116/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32116/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-05-28",
            "end_date": "2026-05-28",
            "start_time": "12:00:00",
            "end_time": "13:00:00",
            "description": "<p>Triple S (Super Sandwich Seminar) will feature 3 speakers per week, each presenting for 15 minutes, followed by a 5 minutes Q&amp;A session.</p>",
            "image_description": "",
            "creation_date": "2025-12-16T15:52:27",
            "last_modification_date": "2025-12-16T15:53:56",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
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            "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717",
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            "spoken_languages": [
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            "speaker": "Antonio Herrera-Camacho -<em> La Manno Lab; </em>Camille Landragin, <em>Oricchio Lab</em>; Remo Battig, <em>Barth Lab</em>",
            "organizer": "Prof. Pierre Gönczy",
            "contact": "Lisa Smith, ISREC Administrative Assistant",
            "is_internal": "True",
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            "keywords": "Super Sandwich, cancer",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/119051/",
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        {
            "id": 70697,
            "title": "SUPER SANDWICH SEMINAR",
            "slug": "super-sandwich-seminar-359",
            "event_url": "https://memento.epfl.ch/event/super-sandwich-seminar-359",
            "visual_url": "https://memento.epfl.ch/image/32117/200x112.jpg",
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            "start_date": "2026-06-11",
            "end_date": "2026-06-11",
            "start_time": "12:00:00",
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            "creation_date": "2025-12-16T15:54:32",
            "last_modification_date": "2025-12-16T15:56:14",
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            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
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            "url_online_room": "",
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                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
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            "speaker": "Carmelo Covato -<em> Waszak Lab; </em>Chiara Paolantoni , <em>McCabe Lab</em>; Jillian Love, <em>Karthaus Lab</em>",
            "organizer": "Prof. Pierre Gönczy",
            "contact": "Lisa Smith, ISREC Administrative Assistant",
            "is_internal": "True",
            "theme": "",
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "Super Sandwich, cancer",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/119053/",
            "category": {
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        },
        {
            "id": 70698,
            "title": "SUPER SANDWICH SEMINAR",
            "slug": "super-sandwich-seminar-361",
            "event_url": "https://memento.epfl.ch/event/super-sandwich-seminar-361",
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            "speaker": "Yves Paychère -<em> Naef Lab; </em>Steffen Sonnentag, <em>Radtke Lab</em>; Kiruthika Kuma, <em>Antanasijevic Lab</em>",
            "organizer": "Prof. Pierre Gönczy",
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