retrieve:
Return the details about the given Event id.

list:
List all Event objects.

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

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            "id": 71376,
            "title": "EPFL Latsis Symposium 2026: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”",
            "slug": "epfl-latsis-symposium-2026-decoding-the-cell-model",
            "event_url": "https://memento.epfl.ch/event/epfl-latsis-symposium-2026-decoding-the-cell-model",
            "visual_url": "https://memento.epfl.ch/image/32724/200x112.jpg",
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            "start_date": "2026-10-29",
            "end_date": "2026-10-30",
            "start_time": null,
            "end_time": null,
            "description": "<div class=\"ms-outlook-mobile-reference-message skipProofing\">The <strong>EPFL Latsis Symposium 2026<em>: “Decoding the Cell: Modeling, Predicting, and Engineering Cellular States”</em></strong> will be held on <strong>October 29-30, 2026</strong>, at the <strong>Olympic Museum in Lausanne</strong>.<br>\r\n<br>\r\nThis international gathering will bring together leading scientists in single-cell analysis, computational modeling, and cellular engineering to explore how recent breakthroughs in multi-omics technologies, predictive algorithms, and synthetic biology are reshaping our understanding of cellular function.<br>\r\n<br>\r\nThrough interdisciplinary talks and discussions, the symposium will spotlight advances in single-cell multi-modal data integration, predictive modeling of cell identity and behavior, and the engineering of synthetic cell states. By connecting researchers across experimental and computational domains, the event aims to establish new conceptual and technological frameworks for modeling and controlling cellular systems.<br>\r\n<br>\r\nHosted by EPFL, the symposium will foster scientific exchange, spark new collaborations, and accelerate progress toward next-generation cell-based therapies, disease models, and synthetic biological innovations.<br>\r\n<br>\r\nJoin us in Lausanne to connect with the global community shaping the future of cell understanding and engineering.<br>\r\n<br>\r\n<strong><a href=\"https://latsis2026.epfl.ch/event/1/\">Abstract submission deadline: September 15, 2026</a><br>\r\n<a href=\"https://latsis2026.epfl.ch/event/1/\">Registration deadline: September 30, 2026</a></strong><br>\r\n<br>\r\n<strong>CALL FOR ABSTRACTS IS OPEN</strong><br>\r\nA few reasons it is worth submitting an abstract:</div>\r\n\r\n<div>\r\n<ul>\r\n\t<li>Direct, in-depth conversations with attendees and our invited speakers</li>\r\n\t<li>A chance to network and spark new collaborations</li>\r\n\t<li>Ideal for sharing ongoing or preliminary results and getting early feedback</li>\r\n\t<li>Possibility to be selected for an abstract talk</li>\r\n\t<li>Eligible for our Best Poster Prize worth CHF 500, voted by symposium participants</li>\r\n</ul>\r\n</div>\r\n<strong>WHY ATTEND</strong>\r\n\r\n<ul>\r\n\t<li>    World-class science - 11 invited experts, including speakers from Stanford, Cambridge, the Wellcome Sanger Institute, ETH Zurich, the Allen Institute, and other leading institutions</li>\r\n\t<li>    Intimate format - a curated, discussion-driven programme with direct access to speakers</li>\r\n\t<li>    Cross-disciplinary by design - connecting computational, experimental, and engineering approaches to cellular states</li>\r\n\t<li>    Best poster prize - voted by participants</li>\r\n\t<li>    A full conference experience - coffee breaks, lunches, dinner on Day 1, and complimentary access to the museum's exhibition at the close of the symposium</li>\r\n</ul>\r\n<strong>VENUE</strong><br>\r\nThe Olympic Museum is perched on the shores of Lake Geneva, with panoramic views of the Alps. It offers an exceptional setting for scientific exchange and networking.<br>\r\n<br>\r\n<strong>CONFIRMED SPEAKERS INCLUDE</strong>\r\n\r\n<ul>\r\n\t<li>    <strong>Gray Camp </strong>- Roche Institute for Translational Bioengineering, Basel</li>\r\n\t<li>  <strong>  Barbara Engelhardt </strong>- Stanford University</li>\r\n\t<li>    <strong>Jeremy Gunawardena</strong> - Pompeu Fabra University</li>\r\n\t<li>    <strong>Muzlifah Haniffa </strong>- Wellcome Sanger Institute &amp; University of Cambridge</li>\r\n\t<li><strong>    Prisca Liberali</strong> - ETH Zurich &amp; Friedrich Miescher Institute for Biomedical Research</li>\r\n\t<li> <strong>   Steve Quake </strong>- Stanford University</li>\r\n\t<li>    <strong>Susanne Rafelski</strong> - Allen Institute for Cell Science</li>\r\n\t<li>   <strong> Kevin Tsia </strong>- University of Hong Kong</li>\r\n\t<li>    <strong>Bo Wang </strong>- University Health Network &amp; University of Toronto</li>\r\n</ul>\r\n<br>\r\n<em>We gratefully acknowledge the support of the Latsis International Foundation, Alithea Genomics, Cytosurge, 10x Genomics, and Stemcell Technologies, whose contributions help make this symposium possible.</em>",
            "image_description": "In a galaxy not so far, far away… Jakob J. Langer, Postdoctoral researcher, Lutolf Lab.",
            "creation_date": "2026-03-13T14:52:09",
            "last_modification_date": "2026-09-07T13:25:04",
            "link_label": "Registration & abstract submission",
            "link_url": "https://latsis2026.epfl.ch/event/1/",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "Olympic Museum",
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            "speaker": "<a href=\"https://www.epfl.ch/labs/deplanckelab/latsis-symposium-2026/epfl-latsis-symposium-2026-invited-speakers/\">SPEAKERS</a>",
            "organizer": "LATSIS Symposium 2026 Organizing Committee:<br>\r\nProf. Bart Deplancke, Prof. Maria Brbić and Prof. Giovanni D’Angelo",
            "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>",
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        {
            "id": 72691,
            "title": "Apertus for NGOs: A Workshop on Running and Deploying Switzerland's Open-source LLM",
            "slug": "apertus-for-ngos-a-workshop-on-running-and-deplo-2",
            "event_url": "https://memento.epfl.ch/event/apertus-for-ngos-a-workshop-on-running-and-deplo-2",
            "visual_url": "https://memento.epfl.ch/image/33918/200x112.jpg",
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            "start_date": "2026-11-10",
            "end_date": "2026-11-10",
            "start_time": "09:00:00",
            "end_time": "12:30:00",
            "description": "<p>​This workshop is for staff and researchers working in NGOs and non-profits who aim to bring AI into their workflows with an ethical, careful approach. Join us for a hands-on morning of using and deploying the flagship model of the Swiss AI Initiative, learn first hand from the engineers and scientists working on Apertus.<br>\r\n<br>\r\n​The workshop runs from <strong>9:30 to 12:30</strong> at the EPFL AI Center Lounge in Lausanne. Doors open at 9:00.<br>\r\n<br>\r\n​<strong>Background</strong>: Apertus is a fully open large language model built in Switzerland, which is fully reproducible and can run on your own infrastructure. As a Foundation Model, it has already been adapted to specific contexts through post-training and fine-tuning processes. In addition to open access at all Swiss academic institutions, a growing number of Swiss and international commercial providers support Apertus for production deployment.<br>\r\n<br>\r\n​This workshop is also designed as a two-way conversation: alongside learning how to use and deploy Apertus, we want to hear how your organization is already working with AI, and where today's tools still fall short for you. We would like to hear about the languages, legal contexts, and use cases you operate in. This input will give us the opportunity to prioritize improvements for non-profit organizations on the Apertus roadmap.<br>\r\n<br>\r\n​At this workshop, you will have the chance to:\r\n</p><ul>\r\n\t<li>​See how Apertus, a fully open, Swiss-built LLM, can be deployed on your own infrastructure</li>\r\n\t<li>​Get hands-on experience using the technology itself, not just a description of it</li>\r\n\t<li>​Tell the team building Apertus where it's falling short for your work, and help shape where it goes next</li>\r\n</ul>\r\n​The morning will include:\r\n\r\n<ul>\r\n\t<li>​An introduction to Apertus: what it is, how it works, and why self-hosting is possible</li>\r\n\t<li>​A live walkthrough of deploying Apertus on your own infrastructure</li>\r\n\t<li>​Hands-on exercises applying Apertus to tasks relevant to your organization</li>\r\n</ul>\r\n​Exact schedule will be sent to participants closer to the event.<br>\r\n<br>\r\n<u><strong>! <a href=\"https://luma.com/k910o3e1\">REGISTRATION REQUIRED !</a></strong></u>",
            "image_description": "",
            "creation_date": "2026-09-28T13:24:00",
            "last_modification_date": "2026-09-28T13:29:08",
            "link_label": "Registration required",
            "link_url": "https://luma.com/k910o3e1",
            "canceled": "False",
            "cancel_reason": "",
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            "speaker": "<a href=\"https://luma.com/k910o3e1\">See program</a>",
            "organizer": "<a href=\"https://www.swiss-ai.org/\">Swiss AI Initiative</a>",
            "contact": "<a href=\"https://luma.com/user/usr-N7kyqdDP9T2cIhr\">Clara Meister</a> &amp; <a href=\"https://luma.com/user/loleg\">Oleg Lavrovsky</a>",
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        {
            "id": 72625,
            "title": "Satrocks XVIII",
            "slug": "satrocks-xviii-2",
            "event_url": "https://memento.epfl.ch/event/satrocks-xviii-2",
            "visual_url": "https://memento.epfl.ch/image/33909/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33909/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-10-16",
            "end_date": "2026-10-17",
            "start_time": "20:00:00",
            "end_time": "03:00:00",
            "description": "<strong>SatRocks</strong> is back for its 18th edition!<br>\r\n<br>\r\nThis year, the festival is bringing you a new stage right between CM and CE, on Avenue Piccard!<br>\r\n<br>\r\nOn the programme: a line-up ranging from tech to rock and right through to metal!<br>\r\n<strong>AM:PM / GabScrapper / Corokia / Don’t kill the cow / Birdlord / Elias D / Sneith / Titalx b2b / Tedi / Mystery Machine</strong><br>\r\n<br>\r\nAbsolutely brilliant entertainment (beer tasting, pétanque, Just Dance, table football, a jam session, improv – in short, no time to get bored between gigs!)<br>\r\nBars (serving SATTT beers) with top-notch drinks and catering that’s been thought through down to the last detail.<br>\r\n<br>\r\nIn short, there’s no reason to miss this edition!<br>\r\n<br>\r\n<strong>///// TICKET SALES /////</strong><br>\r\n<br>\r\n<strong>--- AT SATELLITE ---<br>\r\nMonday 28 September at 12 noon<br>\r\n17.-</strong> <sup>full price</sup> / <strong>12.-</strong> <sup>Sat card</sup><br>\r\n<br>\r\n<strong>Wednesday 30 September at 12 noon<br>\r\n18.-</strong> <sup>full price</sup> / <strong>13.-</strong> <sup>Sat card</sup><br>\r\n<br>\r\n<strong>Friday 2 October at 12 noon<br>\r\n19.-</strong> <sup>full price</sup> / <strong>14.-</strong> <sup>Sat card</sup><br>\r\n<br>\r\n<strong>--- ONLINE ---<br>\r\nFrom 5 October at 12 noon on PETZI<br>\r\n20.-</strong> <sup>full price</sup> / <strong>15.-</strong> <sup>Sat card</sup>",
            "image_description": "",
            "creation_date": "2026-09-27T17:14:19",
            "last_modification_date": "2026-09-27T17:44:05",
            "link_label": "Informations et billetterie",
            "link_url": "https://sat.rocks",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "Avenue Piccard",
            "url_place_and_room": "",
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            "contact": "<a href=\"https://satellite.bar\">Association Satellite</a>",
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            "keywords": "concert, festival, metal, rock, punk, techno, tek, electro, DJ, live",
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        {
            "id": 72664,
            "title": "SiDoQu-2027 Conference",
            "slug": "sidoqu-2027-conference-4",
            "event_url": "https://memento.epfl.ch/event/sidoqu-2027-conference-4",
            "visual_url": "https://memento.epfl.ch/image/33896/200x112.jpg",
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            "start_date": "2027-02-22",
            "end_date": "2027-02-25",
            "start_time": null,
            "end_time": null,
            "description": "<p>The <strong>SiDoQu 2027</strong> <em>Conference on Precision Doping for Quantum and Nanoelectronic Devices</em> aims to bring together researchers across disciplines to explore emerging strategies for controlling dopants at the nanoscale, with the long-term vision of enabling silicon-based quantum technologies.</p>",
            "image_description": "Monte-Verità, © Alessandro Della Bella",
            "creation_date": "2026-09-24T12:01:42",
            "last_modification_date": "2026-09-24T12:01:56",
            "link_label": "SiDoQu-2027 website",
            "link_url": "https://sidoqu-2027.epfl.ch",
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            "title": "SiDoQu-2027 Conference",
            "slug": "sidoqu-2027-conference-2",
            "event_url": "https://memento.epfl.ch/event/sidoqu-2027-conference-2",
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            "start_date": "2027-02-22",
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            "start_time": null,
            "end_time": null,
            "description": "<p>The <strong>SiDoQu 2027</strong> <em>Conference on Precision Doping for Quantum and Nanoelectronic Devices</em> aims to bring together researchers across disciplines to explore emerging strategies for controlling dopants at the nanoscale, with the long-term vision of enabling silicon-based quantum technologies.</p>",
            "image_description": "Monte-Verità, © Alessandro Della Bella",
            "creation_date": "2026-07-24T11:08:26",
            "last_modification_date": "2026-07-28T11:24:47",
            "link_label": "SiDoQu-2027 website",
            "link_url": "https://sidoqu-2027.epfl.ch",
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        {
            "id": 72466,
            "title": "SSOM Fall Meeting | In Situ Microscopy: Recent Developments",
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            "event_url": "https://memento.epfl.ch/event/ssom-fall-meeting-in-situ-microscopy-recent-develo",
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            "start_date": "2026-11-25",
            "end_date": "2026-11-25",
            "start_time": "10:00:00",
            "end_time": "14:00:00",
            "description": "<p>The <strong><a href=\"https://ssom.ch/en\">SSOM</a> Fall Meeting 2026</strong> will bring together researchers and microscopy specialists for a focused day dedicated to <strong>recent developments in <em>in situ</em> elecron microscopy</strong>.<br>\r\n<br>\r\nThe meeting will feature invited talks highlighting advances in instrumentation, methodologies, and applications of <em>in situ</em> electron microscopy, providing an opportunity to exchange ideas, discuss emerging approaches, and connect with colleagues from across the microscopy community.<br>\r\n<br>\r\nThe scientific programme will be followed by a visit to the <strong><a href=\"http://www.cpps-vs.ch/home\">CPPS</a> (Centre Pédagogique Prévention Séisme)</strong>, offering participants an additional opportunity to discover a unique facility in Valais.<br>\r\n<br>\r\n<sub><em>Registration required</em></sub><br>\r\n<br>\r\n<br>\r\n<strong>Programme</strong><br>\r\n<br>\r\n<strong>10:00</strong> | Welcome coffee<br>\r\n<strong>10:20</strong> | Opening remarks<br>\r\n<strong>10:30</strong> | Talk by <strong>Dr. Rolf Erni (EMPA)</strong><br>\r\n<strong>11:00</strong> | Talk by <strong>Dr. Thomas LaGrange (EPFL)</strong><br>\r\n<strong>11:20</strong> | Talk by <strong>Dr. Robin Schäublin (ETHZ)</strong><br>\r\n<strong>11:40</strong> | Lunch &amp; coffee<br>\r\n<strong>13:20</strong> | Talk by <strong>Dr. Milivoj Plodinec (ETHZ)</strong><br>\r\n<strong>13:40</strong> | Closing remarks<br>\r\n<strong>14:00</strong> | Visit to <strong>CPPS</strong></p>",
            "image_description": "",
            "creation_date": "2026-08-28T13:26:33",
            "last_modification_date": "2026-09-08T09:22:06",
            "link_label": "Registration link",
            "link_url": "https://ssom.clubdesk.com/fall_meeting2026",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "ALPOLE - EPFL Valais Wallis",
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            "url_online_room": "",
            "spoken_languages": [
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            "organizer": "<strong>Swiss Society for Optics and Microscopy (SSOM)</strong>",
            "contact": "<a href=\"mailto:[email protected]?subject=SSOM%20Memento\">Emad Oveisi</a>",
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            "keywords": "In Situ, Electron Microscopy, Swiss Society for Optics and Microscopy (SSOM)",
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        {
            "id": 72702,
            "title": "Forum des transitions urbaines 2027 / LAST",
            "slug": "forum-des-transitions-urbaines-2027-last",
            "event_url": "https://memento.epfl.ch/event/forum-des-transitions-urbaines-2027-last",
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            "start_date": "2027-09-03",
            "end_date": "2027-09-03",
            "start_time": "08:45:00",
            "end_time": "16:20:00",
            "description": "<p>Entitled  \"From abundance to resilience?\", the <a href=\"https://transitionsurbaines.ch/\" rel=\"noopener\" target=\"_blank\">Forum des transitions urbaines</a> will be held on September 3, 2027 in the Auditorium of Microcity, a branch of the EPFL in Neuchâtel (Switzerland). Organized jointly by the Ecoparc Association and the <a href=\"https://www.epfl.ch/labs/last/\">Laboratory of Architecture and Sustainable Technologies (LAST)</a> of the Ecole polytechnique fédérale de Lausanne (EPFL), in partnership with the journal espazium, the biennial event will approach this crucial theme for our built environment from different angles.<br>\r\n<br>\r\n<a href=\"https://transitionsurbaines.ch\">online registration</a></p>",
            "image_description": "Immeuble Normandie, Genève © Ariel Huber",
            "creation_date": "2026-09-29T08:31:38",
            "last_modification_date": "2026-10-02T11:09:39",
            "link_label": "Forum des transitions urbaines",
            "link_url": "https://transitionsurbaines.ch",
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            "cancel_reason": "",
            "place_and_room": "MC A1 272",
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            "speaker": "à venir",
            "organizer": "<a href=\"https://www.epfl.ch/labs/last/\">Laboratory of Architecture and Sustainable Technologies (LAST)</a>",
            "contact": "<a href=\"mailto:[email protected]\">Martine Laprise</a>",
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            "theme": "",
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                "fr_label": "Sur inscription",
                "en_label": "Registration required"
            },
            "keywords": "ville, résilience, architecture, urbanisme, durabilité, transition, post carbone, sobriété",
            "file": "https://memento.epfl.ch/public/upload/files/FTU27flyerA5web_BRt9mAA.pdf",
            "icalendar_url": "https://memento.epfl.ch/event/export/121978/",
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                "https://memento.epfl.ch/api/v1/mementos/59/?format=api"
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        },
        {
            "id": 72622,
            "title": "BMI Distinguished Seminar // Gisella Vetere: From Memory Consolidation to Generalization: The Dynamic Evolution of Memory Engrams",
            "slug": "bmi-distinguished-seminar-gisella-vetere-from-memo",
            "event_url": "https://memento.epfl.ch/event/bmi-distinguished-seminar-gisella-vetere-from-memo",
            "visual_url": "https://memento.epfl.ch/image/33867/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33867/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/33867/max-size.jpg",
            "lang": "en",
            "start_date": "2026-10-28",
            "end_date": "2026-10-28",
            "start_time": "12:15:00",
            "end_time": "13:15:00",
            "description": "<p>Memories are not static representations but evolve over time through consolidation and their progressive reorganization across distributed brain networks. This process allows memories to remain persistent while also becoming sufficiently flexible to guide behavior in novel situations. In this seminar, Gisella Vetere will discuss how memory engrams are reorganized from learning to remote recall and how distinct neuronal ensembles contribute to the balance between memory specificity and generalization. Combining activity-dependent neuronal tagging, circuit manipulations, and brain-wide analyses, her research seeks to uncover how memories are transformed over time and how these transformations shape adaptive—and potentially maladaptive—behavior.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-09-18T13:21:09",
            "last_modification_date": "2026-09-22T14:03:25",
            "link_label": "Web page",
            "link_url": "https://veterelab.weebly.com/",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "SV 1717",
            "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717",
            "url_online_room": "https://epfl.zoom.us/j/64813563657",
            "spoken_languages": [
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            ],
            "speaker": "Gisella Vetere, ESPCI, Paris, France",
            "organizer": "BMI SV Host: Johannes Gräff",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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                "fr_label": "Entrée libre",
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            "keywords": "",
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        },
        {
            "id": 72608,
            "title": "MAMCS : Who writes the code? Algorithms, software, creativity, and reliability in the age of AI",
            "slug": "mamcs-who-writes-the-code-algorithms-software-cr-2",
            "event_url": "https://memento.epfl.ch/event/mamcs-who-writes-the-code-algorithms-software-cr-2",
            "visual_url": "https://memento.epfl.ch/image/33852/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/33852/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-10-27",
            "end_date": "2026-10-27",
            "start_time": "15:00:00",
            "end_time": "18:00:00",
            "description": "<p>The Mary Ann Mansigh Conversation series focuses of non-strictly technical topics of cultural interest for the simulation and modelling community. The format reflects the informative and informal nature of these sessions, with talks introducing the subject followed by a conversation between the speakers and the audience.<br>\r\nThe lecture series \"<a href=\"https://www.cecam.org/lectures-categories/mary-ann-mansigh-series\">Mary Ann Mansigh Conversation series</a>\" is co-organized by CECAM (<a href=\"https://www.cecam.org/lectures-categories/www.cecam.org\">https://www.cecam.org</a>) and MARVEL (<a href=\"http://nccr-marvel.ch/\" target=\"_blank\">http://nccr-marvel.ch/</a>) at EPFL.<br>\r\n<br>\r\n<strong>Tuesday October 27, 2026, 15:00-18:00 CET</strong><br>\r\n<br>\r\nArtificial intelligence is changing how algorithms are conceived, how software is written, and how its outputs are verified. This conversation takes stock of where the field of simulation and modelling stands today and opens a discussion on future directions and best practices — how to safeguard reliability and scientific creativity, how to adapt notions of authorship and ownership for AI-assisted code, and how to preserve and ideally enhance the rich commercial and academic software ecosystem that has driven the growth of computational science in research and development.<br>\r\n<br>\r\n<strong>We invite submissions for contributed talks. If you would like to propose a contribution, please submit your abstract using this <a href=\"https://forms.gle/AXmRQWYvYY3g9wPWA\" rel=\"noopener noreferrer\" target=\"_blank\">form</a>. Deadline October 13, 2026.</strong><br>\r\n<br>\r\nThe conversation will take place at EPFL, in <a href=\"https://plan.epfl.ch/?room==BCH%202103\" target=\"_blank\">room BCH 2103</a> and online.<br>\r\n<br>\r\nZoom link <a href=\"https://epfl.zoom.us/j/68443642155?pwd=ZPjdZw2KmHzeQ9Pu376iLb0OyMXCV8.1\">https://epfl.zoom.us/j/68443642155?pwd=ZPjdZw2KmHzeQ9Pu376iLb0OyMXCV8.1</a><br>\r\n<br>\r\n<strong>Tentative program</strong><br>\r\n15:00 Welcome and introduction<br>\r\n15:10 Georg Kresse, University of Vienna, Austria<br>\r\n15:30 Miguel Marques Ruhr, University Bochum, Germany<br>\r\n15:50 Michele Ceriotti, EPFL, Switzerland<br>\r\n16:10 Short break<br>\r\n16:20 Contributed speaker 1<br>\r\n16:35 Contributed speaker 2<br>\r\n16:50 Contributed speaker 3<br>\r\n17:05 Discussion<br>\r\n17:30  Apero for in person participants<br>\r\n<br>\r\n<strong>Previous CECAM and MARVEL lectures can be found at</strong><br>\r\n<a contenteditable=\"false\" href=\"http://www.materialscloud.org/learn/sections/Btmngu/marvel-events\" target=\"_blank\" title=\"http://www.materialscloud.org/learn/sections/Btmngu/marvel-events\">https://www.materialscloud.org/learn/sections/Btmngu/marvel-events</a><br>\r\n<a contenteditable=\"false\" href=\"http://www.cecam.org/lectures\" target=\"_blank\" title=\"http://www.cecam.org/lectures\">https://www.cecam.org/lectures</a></p>",
            "image_description": "",
            "creation_date": "2026-09-17T11:29:02",
            "last_modification_date": "2026-09-17T11:39:28",
            "link_label": "Mary Ann Mansigh Conversation Series",
            "link_url": "https://www.cecam.org/lecture-details/who-writes-code-algorithms-software-creativity-and-reliability-age-ai",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "BCH 2103",
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            "speaker": "",
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            "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events &amp; Operations Manager",
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            "keywords": "",
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        },
        {
            "id": 70957,
            "title": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations",
            "slug": "from-data-to-dynamics-machine-learning-in-statis-2",
            "event_url": "https://memento.epfl.ch/event/from-data-to-dynamics-machine-learning-in-statis-2",
            "visual_url": "https://memento.epfl.ch/image/32346/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/32346/720x405.jpg",
            "visual_maxsize_url": "https://memento.epfl.ch/image/32346/max-size.jpg",
            "lang": "en",
            "start_date": "2026-10-14",
            "end_date": "2026-10-16",
            "start_time": null,
            "end_time": null,
            "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487\">https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any).  However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\nSince its introduction in the 1970s, molecular dynamics (MD) has become an indispensable computational microscope for studying complex biological systems at atomic resolution. It has enabled detailed investigations into protein folding, conformational dynamics, and ligand binding and unbinding. Over the past decade, increasing computational power has made microsecond-scale simulations routine, producing massive datasets that demand sophisticated analysis strategies [1]. Despite these advances, conventional MD simulations still face a fundamental limitation: many biologically relevant events occur over milliseconds to seconds—timescales largely inaccessible to standard MD.<br>\r\nTo bridge this gap, researchers increasingly turn to enhanced sampling techniques—such as metadynamics and umbrella sampling [2,3]—and coarse-grained (CG) modeling approaches [4]. These methods enable more comprehensive exploration of the system’s free energy landscape, yet their success critically depends on the selection of appropriate reaction coordinates or collective variables (CVs). CVs must capture the slowest, most functionally relevant motions to accurately reflect thermodynamic and kinetic behavior. However, identifying suitable CVs remains one of the field’s most challenging tasks, typically requiring domain expertise and iterative refinement [5, 6].<br>\r\nThis complexity has fueled growing interest in machine learning (ML) techniques, which are now transforming how MD simulations are analyzed, interpreted, and even conducted. ML methods have been applied to automate CV discovery, perform dimensionality reduction, build thermodynamic and kinetic models, and enhance sampling efficiency [7]. These models often employ artificial neural networks or graph neural networks to map high-dimensional molecular configurations—such as Cartesian coordinates or molecular descriptors—into low-dimensional representations suitable for analysis [8].<br>\r\nDepending on the structure and type of data, ML algorithms can be broadly categorized into supervised, unsupervised, and reinforcement learning paradigms [9]. Supervised learning uses labeled input-output pairs to predict properties such as molecular energies or binding affinities [10], while unsupervised learning enables the identification of latent features, such as CVs, directly from data [11].<br>\r\nA cornerstone of modern ML-driven simulation is the development of symmetry-aware molecular representations. The predictive power of ML models hinges on encoding physical symmetries—like rotation and translation—directly into the model. E(3)-equivariant neural networks have emerged as powerful tools for this purpose, significantly improving data efficiency and generalization in learning potential energy surfaces [12]. Ongoing research continues to explore the optimal balance between enforcing strict symmetry and retaining model flexibility.<br>\r\nMeanwhile, breakthroughs in structural prediction—most notably the advent of AlphaFold 3—have revolutionized how researchers obtain initial molecular configurations. AlphaFold now provides remarkably accurate models of not only proteins but also their complexes with nucleic acids, ions, and small-molecule ligands [13]. However, these are static snapshots. They cannot capture dynamic behaviors, allosteric transitions, or binding kinetics—areas where physics-based simulations remain indispensable. Initial benchmarks suggest that even state-of-the-art predictors still fall short in modeling protein dynamics and ranking ligand binding affinities, further emphasizing the role of MD [14].<br>\r\nTo address the dimensionality and sampling bottlenecks, unsupervised ML approaches such as time-lagged autoencoders have reframed CV identification as a data-driven task. More recently, generative models—including diffusion models and variational autoencoders—have emerged as a new frontier. These models can learn the full conformational landscape of biomolecules and enable enhanced sampling, in some cases eliminating the need for predefined CVs altogether [15].<br>\r\nOnce accurate structural models and CVs are established, ML can significantly improve the estimation of thermodynamic and kinetic properties. In drug discovery, for instance, predicting protein–ligand binding affinity remains a central challenge. ML potentials trained on quantum mechanical data can be combined with enhanced sampling to yield highly accurate free energy landscapes and binding kinetics—results previously unattainable due to computational limitations [16]. However, challenges in data quality, model interpretability, and transferability remain critical areas of ongoing investigation [17].<br>\r\nFinally, ML is driving a renaissance in CG modeling. Deep neural networks can now learn many-body CG potentials directly from all-atom simulations, capturing emergent properties and enhancing transferability [18]. These models open the door to longer, larger-scale simulations with greater physical accuracy.<br>\r\nIn this rapidly evolving context, it becomes imperative to critically assess both the promise and limitations of ML in biomolecular simulation. The excitement surrounding these developments must be tempered by careful validation and benchmarking. This workshop thus serves as a timely opportunity—especially for early-career researchers—to explore these cutting-edge methods, engage in constructive dialogue, and chart new directions in the application of machine learning to molecular dynamics and drug discovery.<br>\r\n <br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.98.146401\" target=\"_blank\">[1] J. Behler, M. Parrinello, Phys. Rev. Lett., <strong>98</strong>, 146401 (2007)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2024.102972\" target=\"_blank\">[2] P. Sahrmann, G. Voth, Current Opinion in Structural Biology, <strong>90</strong>, 102972 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jcim.2c01127\" target=\"_blank\">[3] K. Kříž, L. Schmidt, A. Andersson, M. Walz, D. van der Spoel, J. Chem. Inf. Model., <strong>63</strong>, 412-431 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmolb.2022.899805\" target=\"_blank\">[4] K. Ahmad, A. Rizzi, R. Capelli, D. Mandelli, W. Lyu, P. Carloni, Front. Mol. Biosci., <strong>9</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-083122-125941\" target=\"_blank\">[5] S. Mehdi, Z. Smith, L. Herron, Z. Zou, P. Tiwary, Annual Review of Physical Chemistry, <strong>75</strong>, 347-370 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1101/2025.04.07.647682\" target=\"_blank\">[6] H. Zheng, H. Lin, A. Alade, J. Chen, E. Monroy, M. Zhang, J. Wang, AlphaFold3 in Drug Discovery: A Comprehensive Assessment of Capabilities, Limitations, and Applications, 2025</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-024-07487-w\" target=\"_blank\">[7] J. Abramson, J. Adler, J. Dunger, R. Evans, T. Green, A. Pritzel, O. Ronneberger, L. Willmore, A. Ballard, J. Bambrick, S. Bodenstein, D. Evans, C. Hung, M. O’Neill, D. Reiman, K. Tunyasuvunakool, Z. Wu, A. Žemgulytė, E. Arvaniti, C. Beattie, O. Bertolli, A. Bridgland, A. Cherepanov, M. Congreve, A. Cowen-Rivers, A. Cowie, M. Figurnov, F. Fuchs, H. Gladman, R. Jain, Y. Khan, C. Low, K. Perlin, A. Potapenko, P. Savy, S. Singh, A. Stecula, A. Thillaisundaram, C. Tong, S. Yakneen, E. Zhong, M. Zielinski, A. Žídek, V. Bapst, P. Kohli, M. Jaderberg, D. Hassabis, J. Jumper, Nature, <strong>630</strong>, 493-500 (2024)</a><br>\r\n[8] Fabian B. Fuchs, Daniel E. 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