Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=160&ordering=event__label_link
{ "count": 264, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=170&ordering=event__label_link", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=150&ordering=event__label_link", "results": [ { "id": 72472, "title": "creapoly - EPFL staff collective expressions", "slug": "creapoly-epfl-staff-collective-expressions", "event_url": "https://memento.epfl.ch/event/creapoly-epfl-staff-collective-expressions", "visual_url": "https://memento.epfl.ch/image/33788/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33788/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33788/max-size.jpg", "lang": "en", "start_date": "2026-10-08", "end_date": "2026-10-12", "start_time": "10:00:00", "end_time": "17:00:00", "description": "<strong>Discover your colleagues’ creative talents! </strong>Thirty EPFL staff members, doctoral students, and postdocs are showcasing their artistic works as part of this exhibition.<br>\r\n<br>\r\n<strong>PRACTICAL INFORMATION:</strong>\r\n<ul>\r\n\t<li><strong>Exhibition : </strong>October 9-12<strong> / </strong>10:00 a.m. - 6:00 p.m.</li>\r\n\t<li><strong>At the <a href=\"https://plan.epfl.ch/?room==SG%20294.22\">Foyer SG</a></strong> : The SG building will be open over the weekend</li>\r\n</ul>\r\nThey answered the call and will be exhibiting one or two works as part of the creapoly exhibition! The techniques used are almost as varied as the 30 participants themselves: acrylic, watercolor, ceramics, collage, ink, charcoal, oil, pastel, palette knife painting, drypoint, woodcarving, and even mixed media and digital techniques…<br>\r\n<br>\r\n<strong>The participants are:</strong> <a>Thibault Aryaksama</a><a class=\"msocomanchor\" href=\"#_msocom_1\" id=\"_anchor_1\" language=\"JavaScript\" name=\"_msoanchor_1\">[SS1]</a> , Behnaz Bakhtiari, Zahra Basiri, Laurence Briola, Seyedmohamadjavad Chabok, Jeanne Fernandez, Inès Gotti, Martine Harmel, Yasaman Izadmehr, Laurent Jospin, Anisia Katinskaia, Yves Leterrier, Katherine Loh, Irina Lopez, Mabel Maucci, Pierre Merret, Wricha Mishra, Gianluca Pepe, Laura Persat, Bernadette Pianka, Jean-Daniel Roulier, Mathilde Saunois, Maria Sivers, Joan Suris, Rita Székely, Barbara Tinguely, Laure Vancauwenberghe, Mioara Vasile, Christian Vonarburg and Marie-Pierre Zufferey. <br>\r\n<br>\r\nA scenic design will showcase these works, thanks to the efforts of <a href=\"https://people.epfl.ch/dimitri.kasparian\">Dimitri Kasparian</a>, who also serves as the scenic designer for Archizoom’s exhibitions.<br>\r\n<br>\r\nThis project is organized as part of the 2026 <a href=\"https://jours-sante.ch/en/\"><strong>Health days</strong></a> and <strong><a href=\"https://www.epfl.ch/campus/art-culture/les-culturelles-cultural-week/les-culturelles-fall-2026/\">Les Culturelles Festival</a></strong> by the VPI’s Culture Pole, in partnership with the VPH. <br>\r\n<br>\r\n<strong>Featured image: </strong>\"Overwhelming and Collective Murder\", by Katherine Loh<br>\r\n \r\n<figure class=\"image\"><a href=\"https://www.epfl.ch/campus/art-culture/fr/les-culturelles/les-culturelles-dautomne-2026/\"><img alt=\"Programme complet des Culturelles\" height=\"182\" src=\"https://www.epfl.ch/campus/art-culture/wp-content/uploads/2026/09/LES_CULTURELLES_1920x1080_programme_complet.png\" width=\"600\"></a>\r\n\r\n<figcaption>© 2026 EPFL, Laura Persat</figcaption>\r\n</figure>\r\n ", "image_description": "", "creation_date": "2026-08-31T11:28:06", "last_modification_date": "2026-09-24T17:28:15", "link_label": "creapoly exhibition", "link_url": "https://www.epfl.ch/campus/art-culture/art-culture/creapoly-collective-expressions/", "canceled": "False", "cancel_reason": "", "place_and_room": "Foyer SG", "url_place_and_room": "http://plan.epfl.ch/?room==SG%20294.22", "url_online_room": "", "spoken_languages": [], "speaker": "Collaboratrices et collaborateurs, post-docs, doctorantes et doctorants de l'EPFL", "organizer": "Pôle Culture EPFL VPI", "contact": "<a href=\"http://people.epfl.ch/tina.karati\">Tina Karati</a>", "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" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121630/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/2/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/79/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api" ] }, { "id": 66913, "title": "Semester Exhibition", "slug": "semester-exhibition-2", "event_url": "https://memento.epfl.ch/event/semester-exhibition-2", "visual_url": "https://memento.epfl.ch/image/28619/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/28619/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/28619/max-size.jpg", "lang": "en", "start_date": "2026-12-14", "end_date": "2026-12-18", "start_time": null, "end_time": null, "description": "<strong>Semester Exhibition</strong><br>\r\nFall 2026<br>\r\n<br>\r\nQuestioned and reevaluated, the very foundations of our disciplines find space for exploration, research, and critical dialogue within the design studios. The Semester Exhibition opens with an apero on Monday, December 16th.<br>\r\n<br>\r\n<strong>Exhibition Opening</strong><br>\r\nMo 14. December 2026, 18:30<br>\r\n<br>\r\n<strong>Exhibition + Reviews </strong><br>\r\n14.12 - 18.12.26<br>\r\n<a href=\"https://maps.app.goo.gl/9SuD6DkmWSnqpcjYA\" target=\"_blank\">EPFL SG Building</a><br>\r\n<br>\r\n<strong>Exhibition Map + Reviews Schedule</strong><br>\r\n→ <a href=\"https://go.epfl.ch/programme-jurys-automne\">Program</a><br>\r\n<br>\r\n<strong>Online Exhibition</strong><br>\r\n→ <a href=\"https://livingarchives.epfl.ch/projects/?type=Project&year=2026&academic=Autumn&project_type=0&sort=date%E2%96%BC\">Living Archives</a><br>\r\n<br>\r\n<strong>Studio Presentations</strong><br>\r\n→ <a href=\"https://www.epfl.ch/schools/enac/education/architecture/fr/education/ateliers-ue/\">Ateliers</a>", "image_description": "", "creation_date": "2024-09-13T08:49:01", "last_modification_date": "2026-08-14T14:13:24", "link_label": "Detailed Program", "link_url": "https://www.epfl.ch/schools/enac/education/architecture/wp-content/uploads/2024/12/semester-exhibition-epfl-architecture.pdf", "canceled": "False", "cancel_reason": "", "place_and_room": "SG Building", "url_place_and_room": "https://maps.app.goo.gl/JBDdijStvvHiG3DW9", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"http://architecture.epfl.ch\">EPFL Architecture</a>", "contact": "<a href=\"mailto:[email protected]\">EPFL Architecture</a>", "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" }, "keywords": "jurys, expositions", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/113395/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "https://memento.epfl.ch/api/v1/mementos/391/?format=api" ] }, { "id": 72774, "title": "EPFL Valais Wallis Health Day", "slug": "epfl-valais-wallis-health-day", "event_url": "https://memento.epfl.ch/event/epfl-valais-wallis-health-day", "visual_url": "https://memento.epfl.ch/image/33990/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33990/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33990/max-size.jpg", "lang": "en", "start_date": "2026-11-10", "end_date": "2026-11-10", "start_time": "11:00:00", "end_time": "19:00:00", "description": "<p>Following the success of the Unil+EFPL Health Days on the Ecublens campus, the EPFL Valais Wallis campus will host its first Health Day in Sion, featuring health check-ups and tests, information booths, workshops, and an expert talk.<br>\r\n<br>\r\n<strong>11:00-14:30 – Health Check-ups & Tests, Innovation & Sports</strong>\r\n</p><ul>\r\n\t<li>Joint Mobility</li>\r\n\t<li>Cardiovascular</li>\r\n\t<li>Anthropometry</li>\r\n\t<li>The Secrets of Pendulum Exercises</li>\r\n</ul>\r\n<br>\r\n<strong>11:00-14:30 – Prevention, Resources & Support</strong>\r\n\r\n<ul>\r\n\t<li>Swiss Polar Institute</li>\r\n\t<li>EPFL Well-being and Inclusion</li>\r\n\t<li>Accident Prevention Module for Snow Sports</li>\r\n</ul>\r\n<br>\r\n<strong>11:00-14:00 – Interactive Sessions on Respect and Well-being (EN)</strong><br>\r\nby Ingrid Le Duc, ENAC Dean’s Delegate for Organizational Culture\r\n<ul>\r\n\t<li>Managing Stress in an Academic Environment</li>\r\n\t<li>Understanding and Responding to Powersplaining and Mansplaining</li>\r\n\t<li>Balancing Pressure and Productivity in Academia</li>\r\n\t<li>Repairing Interactions When Implicit Bias Shapes the Conversation</li>\r\n</ul>\r\n<br>\r\n<strong>16:00-17:00 –</strong> <strong>Workshop (EN): The Power of Effective Breaks</strong><br>\r\nby Diane Duperret, sophrologist<br>\r\n<br>\r\n<br>\r\n<strong>17:00-18:00 – Expert Talk (EN): The Stressed Brain, From Emotion to Performance</strong><br>\r\nby Prof. Chantal Martin Sölch (University of Fribourg)<br>\r\n<br>\r\nFollowed by a reception<br>\r\n<br>\r\n<br>\r\n<a href=\"https://www.epfl.ch/campus/security-safety/sante/sante-mentale-bien-etre/journees-sante-campus-associes/\">>> Details and registration</a>", "image_description": "", "creation_date": "2026-10-06T11:42:12", "last_modification_date": "2026-10-06T11:57:16", "link_label": "Details and registration", "link_url": "https://www.epfl.ch/campus/security-safety/en/health/mental-health-well-being/health-day-associated-campuses/", "canceled": "False", "cancel_reason": "", "place_and_room": "ALPOLE", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Ingrid Le Duc, Diane Duperret, Chantal Martin Sölch", "organizer": "EPFL Valais Wallis, EPFL VPH-WINC", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122078/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/425/?format=api", "https://memento.epfl.ch/api/v1/mementos/396/?format=api", "https://memento.epfl.ch/api/v1/mementos/110/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 72214, "title": "Do Robots Dream of Construction Sites? / ARCHIZOOM x CRCL", "slug": "do-robots-dream-of-construction-sites-archizoom--3", "event_url": "https://memento.epfl.ch/event/do-robots-dream-of-construction-sites-archizoom--3", "visual_url": "https://memento.epfl.ch/image/33494/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33494/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33494/max-size.jpg", "lang": "en", "start_date": "2026-09-09", "end_date": "2026-12-05", "start_time": null, "end_time": null, "description": "<strong>DO ROBOTS DREAM OF CONSTRUCTION SITES?<br>\r\n09.09-05.12.2026<br>\r\n<br>\r\nOpening Tuesday 8 September<br>\r\n6.15pm – </strong>Discussion between Stefana Parascho and Aude Billard, moderated by Pier Vittorio Aureli<br>\r\n<strong>7.30pm –</strong> Opening doors and aperitive<br>\r\n<br>\r\nWhat if robots didn’t replace us, but worked alongside us? Robots are capable of assembling, analysing, experimenting and learning from their mistakes. Could they take on construction work without replacing human labour? Research carried out by the CRCL – Lab for Creative Computation at EPFL explores a form of collaboration between humans and machines that departs from the traditional promise of automation. It opens the way to more inclusive building sites and non-standardised, more environmentally friendly architecture that goes beyond the mere logic of replacement and productivity. <br>\r\n<br>\r\n<strong>An exhibition produced in collaboration with the <a href=\"https://www.crclcrclcrcl.org/\">CRCL – Lab for Creative Computation</a>, led by Stefana Parascho</strong>", "image_description": "", "creation_date": "2026-07-07T11:36:24", "last_modification_date": "2026-07-13T17:08:03", "link_label": "Do Robots Dream of Construction Sites", "link_url": "https://www.epfl.ch/campus/art-culture/museum-exhibitions/archizoom/fr/do-robots-dream-of-construction-sites/", "canceled": "False", "cancel_reason": "", "place_and_room": "Archizoom", "url_place_and_room": "https://plan.epfl.ch/?room==SG%201212", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "CRCL - Lab for Creative Computation", "organizer": "Archizoom", "contact": "Cyril Veillon, Solène Hoffmann", "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" }, "keywords": "Architecture, Technology, Construction, Robotic, Robots, Travail, Labor, Durability", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121235/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "https://memento.epfl.ch/api/v1/mementos/45/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] }, { "id": 72725, "title": "Photonics Day 2026", "slug": "photonics-day-2026", "event_url": "https://memento.epfl.ch/event/photonics-day-2026", "visual_url": "https://memento.epfl.ch/image/33942/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33942/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33942/max-size.jpg", "lang": "en", "start_date": "2026-10-22", "end_date": "2026-10-22", "start_time": "09:00:00", "end_time": "17:00:00", "description": "<p>Photonics Day is a yearly event that aims to promote research discussions and networking among members of the EPFL photonics community, as well as researchers and industry players in the photonics sector. The program includes invited talks from world leaders in the field, a thesis presentation by the winner of the Best EDPO distinction, a scientific picture contest organised by EPC, as well as presentations by students in the Doctoral Program in Photonics, who will compete in the 180-Second Thesis Competition.<br>\r\n<br>\r\nThis year the Photonics Day will take place on Thursday October 22, 2026 at the EPFL Forum Rolex.<br>\r\n<br>\r\nParticipation is free and includes lunch. <strong>Registration opens in September and is mandatory by October 12, 2026</strong>. You’ll find both the <a href=\"http://www.epfl.ch/education/phd/edpo-photonics/edpo-news-and-events/\">registration form</a> and the full <a href=\"http://www.epfl.ch/education/phd/edpo-photonics/edpo-news-and-events/\">program </a>on the same page.</p>", "image_description": "", "creation_date": "2026-09-30T17:09:30", "last_modification_date": "2026-09-30T17:21:57", "link_label": "EDPO News and Events", "link_url": "https://www.epfl.ch/education/phd/edpo-photonics/edpo-news-and-events/", "canceled": "False", "cancel_reason": "", "place_and_room": "RLC E1 240", "url_place_and_room": "https://plan.epfl.ch/?room==RLC%20E1%20240", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "Doctoral Program in Photonics", "contact": "Prof. Camille Brès", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122005/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api" ] }, { "id": 72342, "title": "Dynamics in Brain-inspired Neural Networks // 2-6 November 2026", "slug": "dynamics-in-brain-inspired-neural-networks-2-6-nov", "event_url": "https://memento.epfl.ch/event/dynamics-in-brain-inspired-neural-networks-2-6-nov", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-11-02", "end_date": "2026-11-06", "start_time": "13:30:00", "end_time": "12:00:00", "description": "<p>The brain forms a large recurrent spiking neural network with extremely high connectivity making time-dependent mean-field approaches valuable tools to translate the microscopic level of single-neuron dynamics to the mesoscopic or macroscopic level. In recent years, experimental data as well as simulation studies have highlighted the importance of low-dimensional macroscopic dynamics in large recurrent spiking networks. On the theory side, the notion of low-rank connectivity has shifted into the focus of interest. <br>\r\nThis meeting will to bring together researchers in mathematical and theoretical neuroscience who address the above topics from different perspectives. <br>\r\n<br>\r\n<strong>Phase 1</strong><br>\r\nPublic lectures from Monday afternoon – Wednesday end of day<br>\r\n<br>\r\nPresentations will alternate between speakers with a physics and those with a math background so as to foster links between the two communities.<br>\r\n<br>\r\n<strong>Phase 2</strong><br>\r\nTutorials for PhD students on Thursday and Friday. </p>", "image_description": "", "creation_date": "2026-08-14T10:16:34", "last_modification_date": "2026-08-14T10:20:36", "link_label": "Event website", "link_url": "https://www.epfl.ch/labs/lcn/dynamics-in-brain-inspired-neural-networks-2-6-november-2026/", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121429/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/43/?format=api", "https://memento.epfl.ch/api/v1/mementos/260/?format=api" ] }, { "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", "visual_url": "https://memento.epfl.ch/image/33927/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33927/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33927/max-size.jpg", "lang": "en", "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", "canceled": "False", "cancel_reason": "", "place_and_room": "MC A1 272", "url_place_and_room": "https://plan.epfl.ch/?room==MC%20A1%20272", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "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>", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "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/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/59/?format=api" ] }, { "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. Worrall, Volker Fischer, Max Welling, NIPS'20: Proceedings of the 34th International Conference on Neural Information Processing Systems, Article No.: 166, Pages 1970 - 1981 (2020)<br>\r\n<a href=\"https://doi.org/10.1080/00268976.2020.1737742\" target=\"_blank\">[9] H. Sidky, W. Chen, A. Ferguson, Molecular Physics, <strong>118</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2019.12.016\" target=\"_blank\">[10] Y. Wang, J. Lamim Ribeiro, P. Tiwary, Current Opinion in Structural Biology, <strong>61</strong>, 139-145 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0337-2\" target=\"_blank\">[11] K. Butler, D. Davies, H. Cartwright, O. Isayev, A. Walsh, Nature, <strong>559</strong>, 547-555 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-physchem-042018-052331\" target=\"_blank\">[12] F. Noé, A. Tkatchenko, K. Müller, C. Clementi, Annu. Rev. Phys. Chem., <strong>71</strong>, 361-390 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1080/23746149.2021.2006080\" target=\"_blank\">[13] S. Kaptan, I. Vattulainen, Advances in Physics: X, <strong>7</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1002/wcms.1455\" target=\"_blank\">[14] V. Limongelli, WIREs. Comput. Mol. Sci., <strong>10</strong>, (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.chemrev.0c01195\" target=\"_blank\">[15] A. Glielmo, B. Husic, A. Rodriguez, C. Clementi, F. Noé, A. Laio, Chem. Rev., <strong>121</strong>, 9722-9758 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.sbi.2018.11.005\" target=\"_blank\">[16] A. Pak, G. Voth, Current Opinion in Structural Biology, <strong>52</strong>, 119-126 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1021/jacs.6b05602\" target=\"_blank\">[17] M. Lelimousin, V. Limongelli, M. Sansom, J. Am. Chem. Soc., <strong>138</strong>, 10611-10622 (2016)</a><br>\r\n<a href=\"https://doi.org/10.3390/e16010163\" target=\"_blank\">[18] C. Abrams, G. Bussi, Entropy, <strong>16</strong>, 163-199 (2013)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:07:22", "last_modification_date": "2026-01-26T16:45:31", "link_label": "From Data to Dynamics: Machine Learning in Statistical Mechanics and Molecular Simulations", "link_url": "https://www.cecam.org/workshop-details/from-data-to-dynamics-machine-learning-in-statistical-mechanics-and-molecular-simulations-1487", "canceled": "False", "cancel_reason": "", "place_and_room": "Aula Magna, USI Lugano", "url_place_and_room": "https://www.desk.usi.ch/en/lugano-campus-map-access-facilities", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<strong>Daniele Angioletti, </strong>Università della Svizzera Italiana (USI) ; <strong>Vincenzo Maria D'Amore, </strong>University of Naples \"Federico II\" ; <strong>Marco De Vivo, </strong>Istituto Italiano di Tecnologia ; <strong>Francesco Saverio Di Leva, </strong>University of Naples Federico II ; <strong>Vittorio Limongelli, </strong>Università della Svizzera Italiana USI Lugano ; <strong>Gregory Voth, </strong>University of Chicago", "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119454/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 70956, "title": "G protein-coupled receptors functional dynamics revealed by experimental and computational structural data", "slug": "g-protein-coupled-receptors-functional-dynamics-re", "event_url": "https://memento.epfl.ch/event/g-protein-coupled-receptors-functional-dynamics-re", "visual_url": "https://memento.epfl.ch/image/32345/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32345/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32345/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-09", "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/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488\">https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488</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\n<br>\r\nG protein-coupled receptors (GPCRs) represent a vast and diverse class of transmembrane proteins that orchestrate a wide range of physiological processes by responding to both endogenous and exogenous ligands [1,2]. These receptors are essential to critical functions such as metabolism, immune regulation, neuronal signaling, and sensory perception - including vision and olfaction. Due to their physiological relevance and membrane accessibility, GPCRs are the targets of approximately 34% of all prescribed medications, accounting for nearly 27% of the global pharmaceutical market [3]. <br>\r\nDespite their pharmaceutical importance, key aspects of GPCR function remain elusive. The canonical activation model posits that agonist binding to the extracellular orthosteric site triggers allosteric changes - most notably, the outward displacement of transmembrane helices 5 (TM5) and 6 (TM6) on the intracellular side - ultimately leading to receptor activation [2-4]. However, recent evidence suggests a more nuanced mechanism. In several GPCRs, activation appears to involve cooperative engagement between the agonist and the G protein. For example, the G protein may disrupt an \"inactivating ionic lock\" - a salt bridge between TM3 and TM6 - while the agonist stabilizes the active conformation. In some receptors, this is complemented by the formation of an “activating ionic lock” between TM5 and TM6 [5-8]. These dual contributions are considered thermodynamically essential for full activation [7].<br>\r\nAdding further complexity, GPCR activity is regulated by conformational microswitches and finely tuned intra-protein interaction networks. These dynamic rearrangements are difficult to capture and often elude direct correlation with functional outcomes. Moreover, allosteric ligands - which bind sites distinct from the orthosteric pocket - are being increasingly identified [9-12], along with small molecules capable of biased signaling, i.e., preferential activation of specific intracellular pathways [11-13, 16, 17]. These findings reveal a rich and underexplored conformational landscape that governs GPCR signaling. In addition, native membrane components—such as lipids and interacting proteins, including GPCR oligomers—are known to significantly modulate receptor function [11, 18-22].<br>\r\nTo disentangle these intricacies, computational modeling has become indispensable, offering atomistic insight into GPCR conformational dynamics and mechanistic understanding [1-2, 7, 11, 14, 16–21, 23]. Nevertheless, key questions remain - particularly regarding the structural basis of biased signaling, strategies for leveraging allosteric networks in pharmacology, and the modulatory role of the lipid environment. Addressing these gaps is crucial for both fundamental biology and the rational design of next-generation GPCR-targeting drugs with improved selectivity and safety profiles. <br>\r\nThese scientific challenges form the foundation of our upcoming workshop, which will focus on the latest experimental and computational approaches for studying the functional dynamics of GPCRs. Given the profound health, economic, and societal implications of modulating these receptors with precision, we aim to strengthen the interdisciplinary nature of the event by increasing the representation of experimental research and integrating cutting-edge artificial intelligence applications into the program.<br>\r\nBuilding upon the success of the 2022 and 2024 editions - which led to new collaborations and a landmark publication in <em>Nature Reviews Drug Discovery</em> [24] - our goal is to further enhance communication and collaboration between experimentalists and theoreticians. The workshop will serve as a reference point for young scientists and students, offering a platform to interact with leading international experts. We are confident that this initiative will foster insightful discussions and contribute meaningfully to advancing the field of GPCR pharmacology.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1038/nrd.2017.229\" target=\"_blank\">[1] J. Smith, R. Lefkowitz, S. Rajagopal, Nat. Rev. Drug. Discov., <strong>17</strong>, 243-260 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-024-01083-3\" target=\"_blank\">[2] P. Conflitti, E. Lyman, M. Sansom, P. Hildebrand, H. Gutiérrez-de-Terán, P. Carloni, T. Ansell, S. Yuan, P. Barth, A. Robinson, C. Tate, D. Gloriam, S. Grzesiek, M. Eddy, S. Prosser, V. Limongelli, Nat. Rev. Drug. Discov., <strong>24</strong>, 251-275 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41589-024-01682-6\" target=\"_blank\">[3] L. Picard, A. Orazietti, D. Tran, A. Tucs, S. Hagimoto, Z. Qi, S. Huang, K. Tsuda, A. Kitao, A. Sljoka, R. Prosser, Nat. Chem. Biol., <strong>21</strong>, 71-79 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.drudis.2020.10.006\" target=\"_blank\">[4] B. Huang, C. St. Onge, H. Ma, Y. Zhang, Drug Discovery Today, <strong>26</strong>, 189-199 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-023-42082-z\" target=\"_blank\">[5] D. Di Marino, P. Conflitti, S. Motta, V. Limongelli, Nat. Commun., <strong>14</strong>, 6439 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.ceb.2018.10.007\" target=\"_blank\">[6] G. Milligan, R. Ward, S. Marsango, Current Opinion in Cell Biology, <strong>57</strong>, 40-47 (2019)</a><br>\r\n<a href=\"https://doi.org/10.7554/elife.73901\" target=\"_blank\">[7] S. Huang, O. Almurad, R. Pejana, Z. Morrison, A. Pandey, L. Picard, M. Nitz, A. Sljoka, R. Prosser, eLife, <strong>11</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1146/annurev-pharmtox-010919-023411\" target=\"_blank\">[8] A. Duncan, W. Song, M. Sansom, Annu. Rev. Pharmacol. Toxicol., <strong>60</strong>, 31-50 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-60003-0\" target=\"_blank\">[9] A. Morales-Pastor, T. Miljuš, M. Dieguez-Eceolaza, T. Stępniewski, V. Ledesma-Martin, F. Heydenreich, T. Flock, B. Plouffe, C. Le Gouill, J. Duchaine, D. Sykes, C. Nicholson, E. Koers, W. Guba, A. Rufer, U. Grether, M. Bouvier, D. Veprintsev, J. Selent, Nat. Commun., <strong>16</strong>, 5265 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-022-05588-y\" target=\"_blank\">[10] A. Faouzi, H. Wang, S. Zaidi, J. DiBerto, T. Che, Q. Qu, M. Robertson, M. Madasu, A. El Daibani, B. Varga, T. Zhang, C. Ruiz, S. Liu, J. Xu, K. Appourchaux, S. Slocum, S. Eans, M. Cameron, R. Al-Hasani, Y. Pan, B. Roth, J. McLaughlin, G. Skiniotis, V. Katritch, B. Kobilka, S. Majumdar, Nature, <strong>613</strong>, 767-774 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-022-31652-2\" target=\"_blank\">[11] M. Wall, E. Hill, R. Huckstepp, K. Barkan, G. 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