retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=210&ordering=event__label_link
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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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",
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            "keywords": "7T MRI scanner, fMRI, UHF, Biomedical imaging",
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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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            "is_internal": "False",
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                "en_label": "Free"
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            "keywords": "EEG imaging Neuroimaging",
            "file": null,
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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": "",
            "vulgarization": {
                "id": 1,
                "fr_label": "Tout public",
                "en_label": "General public"
            },
            "registration": {
                "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": 71916,
            "title": "AI Center Seminar - Prof. Li CHEN - \"Designing Conversational Music Agents for Self-Awareness and Psychological Well-being\"",
            "slug": "ai-center-seminar-prof-li-chen-designing-convers-2",
            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-prof-li-chen-designing-convers-2",
            "visual_url": "https://memento.epfl.ch/image/33234/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33234/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33234/max-size.jpg",
            "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": "2026-05-26T09:50:02",
            "link_label": "Zoom Link",
            "link_url": "https://epfl.zoom.us/j/67788354916?pwd=ToPdGZ0KqvykXwRRh4kf2HUJIBz1Pz.1",
            "canceled": "False",
            "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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}