Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=90&ordering=-event__label_link
{ "count": 264, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=100&ordering=-event__label_link", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=80&ordering=-event__label_link", "results": [ { "id": 70762, "title": "Agir sur le stress et l'anxiété: des clés pour le quotidien", "slug": "agir-sur-le-stress-et-l-anxiete-des-cles-pour-le-4", "event_url": "https://memento.epfl.ch/event/agir-sur-le-stress-et-l-anxiete-des-cles-pour-le-4", "visual_url": "https://memento.epfl.ch/image/32174/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32174/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32174/max-size.jpg", "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-07", "start_time": "09:00:00", "end_time": "17:00:00", "description": "<p>Le stress et l’anxiété font aujourd’hui partie intégrante du quotidien, d’autant plus dans un cadre professionnel. Pression de performance, surcharge d’informations, incertitudes et distractions digitales, nous affectent toutes et tous. Lorsqu’ils deviennent chroniques, ces états impactent la santé mentale, le sommeil, la concentration, la motivation, les relations sociales et la qualité du travail.<br>\r\n<br>\r\nComprendre ces mécanismes, apprendre à les réguler, et surtout identifier ses propres déclencheurs et ressources devient alors essentiel pour évoluer dans un cadre professionnel et promouvoir un travail stable et une qualité de vie plus saine.<br>\r\n<br>\r\nCette formation vise à renforcer votre résilience, vous permettre d’identifier vos déclencheurs personnels, et d’activer des ressources internes et externes pour retrouver calme, clarté mentale et stabilité au quotidien.</p>", "image_description": "", "creation_date": "2026-01-05T10:27:31", "last_modification_date": "2026-01-12T09:12:58", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/856", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "speaker": "Forrest van Uchelen", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119157/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71001, "title": "Gestion de projet européen - Projets ERC et MSCA", "slug": "gestion-de-projet-europeen-projets-erc-et-msca-2", "event_url": "https://memento.epfl.ch/event/gestion-de-projet-europeen-projets-erc-et-msca-2", "visual_url": "https://memento.epfl.ch/image/32389/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32389/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32389/max-size.jpg", "lang": "en", "start_date": "2026-11-26", "end_date": "2026-11-26", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>Programmes-cadres européens de la recherche et de l’innovation.<br>\r\n<br>\r\nVotre laboratoire participe à un ou plusieurs projets européens et une de vos missions est d’en assurer une gestion efficace au niveaux administratif, financier et celui des ressources humaines ? Pour cela, il est important de prendre le temps de vous familiariser avec la structure de ces projets et avec certaines règles de gestion qui leurs sont spécifiques.<br>\r\n<br>\r\nCette formation vous propose de prendre connaissance des documents contractuels et de leur contenu qui est utile pour votre gestion. Les règles de gestion administrative, financière et RH seront présentées et discutées en se basant sur des cas pratiques.<br>\r\nLa formation permettra aussi aux participants de se familiariser avec le portail européen et la plateforme de reporting du SEFRI.<br>\r\n<br>\r\nIl est recommandé de suivre cette formation le plus tôt possible, idéalement vers le commencement du projet.</p>", "image_description": "", "creation_date": "2026-01-30T10:11:14", "last_modification_date": "2026-01-30T10:12:40", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "speaker": "EU-Funding Team of the Research Office", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119525/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 72281, "title": "Do Robots Dream of Construction Sites? / ARCHIZOOM x CRCL", "slug": "do-robots-dream-of-construction-sites-archizoom--6", "event_url": "https://memento.epfl.ch/event/do-robots-dream-of-construction-sites-archizoom--6", "visual_url": "https://memento.epfl.ch/image/33549/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33549/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33549/max-size.jpg", "lang": "en", "start_date": "2026-11-24", "end_date": "2026-11-24", "start_time": "17:30:00", "end_time": "18:15:00", "description": "<strong>Tuesday 24 November</strong><br>\r\n<strong>5.30pm –</strong> Guided tour of the exhibition by Stefana Parascho, director of the CRCL – Lab for Creative Computation at EPFL<br>\r\n<strong>6.30pm –</strong> Followed by the opening of the exhibition <em>The Extraction of Value</em> with Paolo Tombesi<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 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\nCan we trust a robot on a building site? This guided tour explores what it means to build alongside increasingly capable machines, and how collaboration between humans and robots could affect our buildings, our trades and, by extension, our daily lives.<br>\r\n<br>\r\n<em>Robots in operation during guided tours !</em>", "image_description": "", "creation_date": "2026-07-27T16:15:08", "last_modification_date": "2026-07-27T16:16:15", "link_label": "Inscription", "link_url": "https://forms.gle/8mG39FYernNXnsJG6", "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/2/?format=api" ], "speaker": "Stefana Parascho", "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/121335/", "category": { "id": 9, "code": "MANIF", "fr_label": "Événements festifs et culturels", "en_label": "Cultural events", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "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/45/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] }, { "id": 72357, "title": "Materials for the Future", "slug": "materials-for-the-future", "event_url": "https://memento.epfl.ch/event/materials-for-the-future", "visual_url": "https://memento.epfl.ch/image/33729/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33729/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33729/max-size.jpg", "lang": "en", "start_date": "2026-10-09", "end_date": "2026-10-09", "start_time": "18:00:00", "end_time": "19:30:00", "description": "<p>In 2026, EPFL named Professor Konstantin Novoselov its first-ever EPFL Fellow, a newly created honorary title recognising scientific personalities of exceptional international stature.<br>\r\n<br>\r\nEPFL is delighted to host a public lecture to celebrate this nomination of one of the most influential physicists of our time.<br>\r\n<br>\r\nKonstantin Novoselov was awarded the Nobel Prize in Physics in 2010 and is globally renowned for his pioneering work on graphene and two-dimensional materials. By isolating graphene for the first time, a sheet of carbon just one atom thick, he opened an entirely new field of research, with profound implications for electronics, energy and quantum technologies.<br>\r\n<br>\r\n<em>Picture this: it was from the graphite of an ordinary pencil lead that this \"super-material\" was first isolated. Using nothing more than a piece of adhesive tape to peel away a layer a single atom thick, Konstantin Novoselov revealed to the world a material with extraordinary properties. A million times thinner than a human hair, 200 times stronger than steel and remarkably conductive, graphene pushes every limit. From the lead of your pencil to the batteries of tomorrow, join us to discover how a deceptively simple gesture set off a genuine technological revolution.</em><br>\r\n<br>\r\nThis Campus Lecture offers an introduction to that revolution: how a two-dimensional material is transforming our understanding of matter and how today's fundamental discoveries become tomorrow's technologies.<br>\r\n<br>\r\n<strong>About Konstantin Novoselov</strong><br>\r\nKonstantin Novoselov is a physicist specialising in condensed matter and nanotechnology. He conducted his Nobel Prize–winning research at the University of Manchester, where, together with Professor Andre Geim, he isolated graphene for the first time. He has held academic positions in the United Kingdom as well as internationally and is currently based at the National University of Singapore. Widely recognised as a leading figure in the study and application of two-dimensional materials, he has received numerous honours for his contributions to science.</p>", "image_description": "", "creation_date": "2026-08-18T11:48:33", "last_modification_date": "2026-09-01T09:58:59", "link_label": "Inscription", "link_url": "https://forms.cloud.microsoft/e/8wFYA27p68", "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": "Prof. Konstantin Novoselov", "organizer": "MédiaCom", "contact": "Nicolas Hocq", "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": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121450/", "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/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/389/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] }, { "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", "visual_maxsize_url": "https://memento.epfl.ch/image/33909/max-size.jpg", "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": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "<a href=\"https://satellite.bar\">Association Satellite</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": "concert, festival, metal, rock, punk, techno, tek, electro, DJ, live", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121942/", "category": { "id": 9, "code": "MANIF", "fr_label": "Événements festifs et culturels", "en_label": "Cultural events", "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/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/10/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/413/?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. Deganutti, M. Leuenberger, B. Preti, I. Winfield, S. Carvalho, A. Suchankova, H. Wei, D. Safitri, X. Huang, W. Imlach, C. La Mache, E. Dean, C. Hume, S. Hayward, J. Oliver, F. Zhao, D. Spanswick, C. Reynolds, M. Lochner, G. Ladds, B. Frenguelli, Nat. Commun., <strong>13</strong>, 4150 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41580-018-0049-3\" target=\"_blank\">[12] D. Wootten, A. Christopoulos, M. Marti-Solano, M. Babu, P. Sexton, Nat. Rev. Mol. Cell. Biol., <strong>19</strong>, 638-653 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-017-0011-7\" target=\"_blank\">[13] D. Hilger, M. Masureel, B. Kobilka, Nat. Struct. Mol. Biol., <strong>25</strong>, 4-12 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-57034-y\" target=\"_blank\">[14] D. Aranda-García, T. Stepniewski, M. Torrens-Fontanals, A. García-Recio, M. Lopez-Balastegui, B. Medel-Lacruz, A. Morales-Pastor, A. Peralta-García, M. Dieguez-Eceolaza, D. Sotillo-Nuñez, T. Ding, M. Drabek, C. Jacquemard, J. Jakowiecki, W. Jespers, M. Jiménez-Rosés, V. Jun-Yu-Lim, A. Nicoli, U. Orzel, A. Shahraki, J. Tiemann, V. Ledesma-Martin, F. Nerín-Fonz, S. Suárez-Dou, O. Canal, G. Pándy-Szekeres, J. Mao, D. Gloriam, E. Kellenberger, D. Latek, R. Guixà-González, H. Gutiérrez-de-Terán, I. Tikhonova, P. Hildebrand, M. Filizola, M. Babu, A. Di Pizio, S. Filipek, P. Kolb, A. Cordomi, T. Giorgino, M. Marti-Solano, J. Selent, Nat. Commun., <strong>16</strong>, 2020 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-018-0259-z\" target=\"_blank\">[15] D. Thal, A. Glukhova, P. Sexton, A. Christopoulos, Nature, <strong>559</strong>, 45-53 (2018)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.tips.2020.12.005\" target=\"_blank\">[16] L. Slosky, M. Caron, L. Barak, Trends in Pharmacological Sciences, <strong>42</strong>, 283-299 (2021)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.apsb.2023.07.020\" target=\"_blank\">[17] C. Zhu, X. Lan, Z. Wei, J. Yu, J. Zhang, Acta Pharmaceutica Sinica B, <strong>14</strong>, 67-86 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.chempr.2024.08.004\" target=\"_blank\">[18] V. D’Amore, P. Conflitti, L. Marinelli, V. Limongelli, Chem, <strong>10</strong>, 3678-3698 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41557-023-01238-6\" target=\"_blank\">[19] A. Mafi, S. Kim, W. Goddard, Nat. Chem., <strong>15</strong>, 1127-1137 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41594-024-01334-2\" target=\"_blank\">[20] H. Batebi, G. Pérez-Hernández, S. Rahman, B. Lan, A. Kamprad, M. Shi, D. Speck, J. Tiemann, R. Guixà-González, F. Reinhardt, P. Stadler, M. Papasergi-Scott, G. Skiniotis, P. Scheerer, B. Kobilka, J. Mathiesen, X. Liu, P. Hildebrand, Nat. Struct. Mol. Biol., <strong>31</strong>, 1692-1701 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2015.04.043\" target=\"_blank\">[21] A. Manglik, T. Kim, M. Masureel, C. Altenbach, Z. Yang, D. Hilger, M. Lerch, T. Kobilka, F. Thian, W. Hubbell, R. Prosser, B. Kobilka, Cell, <strong>161</strong>, 1101-1111 (2015)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.cell.2020.03.003\" target=\"_blank\">[22] M. Congreve, C. de Graaf, N. Swain, C. Tate, Cell, <strong>181</strong>, 81-91 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41573-025-01139-y\" target=\"_blank\">[23] J. Lorente, A. Sokolov, G. Ferguson, H. Schiöth, A. Hauser, D. Gloriam, Nat. Rev. Drug. Discov., <strong>24</strong>, 458-479 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1111/bph.16495\" target=\"_blank\">[24] M. Lopez‐Balastegui, T. Stepniewski, M. Kogut‐Günthel, A. Di Pizio, M. Rosenkilde, J. Mao, J. Selent, British. J. Pharmacology., <strong>182</strong>, 3211-3224 (2024)</a>\r\n</p><div class=\"active tab-pane\"> </div>", "image_description": "", "creation_date": "2026-01-26T16:00:31", "last_modification_date": "2026-01-26T16:45:08", "link_label": "G protein-coupled receptors functional dynamics revealed by experimental and computational structura", "link_url": "https://www.cecam.org/workshop-details/g-protein-coupled-receptors-functional-dynamics-revealed-by-experimental-and-computational-structural-data-1488", "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>Vittorio Limongelli</strong>, Università della Svizzera Italiana USI Lugano ; <strong>Scott Prosser</strong>, University of Toronto ; <strong>Stefano Raniolo</strong>, Università della Svizzera Italiana ; <strong>Jana Selent</strong>, Hospital Del Mar Medical Research Institute", "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/119453/", "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": 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": 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": 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": 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" ] } ] }
