Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=80&ordering=title
{ "count": 262, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=90&ordering=title", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=70&ordering=title", "results": [ { "id": 72022, "title": "Financial Flexibility under Non-Exclusive Lending", "slug": "financial-flexibility-under-non-exclusive-lending", "event_url": "https://memento.epfl.ch/event/financial-flexibility-under-non-exclusive-lending", "visual_url": "https://memento.epfl.ch/image/33315/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33315/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33315/max-size.jpg", "lang": "en", "start_date": "2026-10-09", "end_date": "2026-10-09", "start_time": "11:00:00", "end_time": "13:15:00", "description": "<p>This paper studies optimal financial flexibility in debt issuance. A borrower raises funds for an initial investment and may need financing after observing a private liquidity shock. Under non exclusive lending, new lenders price only their claims, so additional borrowing dilutes existing debt and leads to excessive leverage. The optimal simple debt contract is an endogenous debt limit. It captures the intertemporal commitment–flexibility tradeoff: more borrowing today fi nances investment but increases dilution incentives, requiring tighter limits on future borrowing. Richer clauses, including performance-sensitive debt and contingent prepayment provisions, re store the exclusive-lending benchmark by compensating existing lenders when new financing is raised.</p>", "image_description": "", "creation_date": "2026-06-03T15:01:15", "last_modification_date": "2026-09-30T13:50:47", "link_label": "Paper", "link_url": "https://yunzhihu.web.unc.edu/wp-content/uploads/sites/14825/2026/08/draft-v4.pdf", "canceled": "False", "cancel_reason": "", "place_and_room": "UNIL, Extranef, room 126", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://yunzhihu.web.unc.edu/\">Yunzhi Hu - The University of North Carolina</a>", "organizer": "", "contact": "[email protected]", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/120962/", "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/112/?format=api", "https://memento.epfl.ch/api/v1/mementos/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/116/?format=api", "https://memento.epfl.ch/api/v1/mementos/105/?format=api" ] }, { "id": 72212, "title": "FLP Coaching Group", "slug": "flp-coaching-group", "event_url": "https://memento.epfl.ch/event/flp-coaching-group", "visual_url": "https://memento.epfl.ch/image/33492/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33492/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33492/max-size.jpg", "lang": "en", "start_date": "2026-09-25", "end_date": "2026-11-30", "start_time": null, "end_time": null, "description": "<ul>\r\n\t<li><strong>Purpose & Audience</strong><br>\r\n\tA structured,<strong> hybrid coaching</strong> programme for <strong>doctoral and postdoctoral researchers</strong> at EPFL, designed to boost both practical career skills and personal resilience. </li>\r\n\t<li> </li>\r\n\t<li><strong>Duration & Format</strong></li>\r\n</ul>\r\n\r\n<ul>\r\n\t<li><strong>Three months</strong> (June/September to October/November, depending on availabilities)</li>\r\n\t<li><strong>Three full‑day retreats</strong> (≈ 7 hrs each, plus lunch) spaced a month apart (or with the summer break, if start in June)</li>\r\n</ul>\r\n<strong>Interim work</strong>: team and individual assignments, role‑model interviews, reflective journaling<br>\r\nDates: Retreat days will take place on <strong>Friday, September 25, Friday October 30 and Friday November 27.</strong><br>\r\nOther dates and information soon\r\n<ul>\r\n\t<li><strong>Core elements</strong></li>\r\n</ul>\r\n<img alt=\"\" decoding=\"async\" height=\"522\" sizes=\"(min-width: 0px) and (max-width: 480px) 480px, (min-width: 481px) 550px, 100vw\" src=\"https://foster-lead-promote.ch/wp-content/uploads/2026/01/CG_EPFL_2026.png\" srcset=\"https://foster-lead-promote.ch/wp-content/uploads/2026/01/CG_EPFL_2026.png 550w, https://foster-lead-promote.ch/wp-content/uploads/2026/01/CG_EPFL_2026-480x456.png 480w\" width=\"550\">\r\n<ol>\r\n\t<li><strong>Deliverables & Benefits</strong></li>\r\n</ol>\r\n\r\n<ul>\r\n\t<li><strong>Concrete career artefacts</strong>: polished CVs, LinkedIn profiles, motivation letters.</li>\r\n\t<li><strong>Eight alumni portraits</strong> published on the FLP site, raising programme visibility.</li>\r\n\t<li><strong>Clear ROI for participants</strong>: venue, meals, professional development, and networking opportunities.</li>\r\n\t<li><strong>Team‑building outcomes</strong>: interview buddies, collaborative projects, shared reflections.</li>\r\n</ul>", "image_description": "", "creation_date": "2026-07-07T11:06:34", "last_modification_date": "2026-07-07T11:13:38", "link_label": "Website", "link_url": "https://foster-lead-promote.ch/our_services/coachinggroups/", "canceled": "False", "cancel_reason": "", "place_and_room": "EPFL", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<strong><a href=\"https://foster-lead-promote.ch/coaches-and-trainers/#:~:text=About%20me-,Dr.%20Ingrid%20Le%20Duc,-%2C%20FLP%20Coach\">Dr. Ingrid Le Duc</a></strong> and <a href=\"https://foster-lead-promote.ch/coaches-and-trainers/#:~:text=Coaches%20%26%20Trainers-,Dr.%20Verity%20Elston,-%2C%20FLP%20Coach\">Dr. Verity Elston</a>", "organizer": "<a href=\"https://foster-lead-promote.ch/meet-our-experts/\">FLP</a> ", "contact": "<a href=\"mailto:[email protected]\">Chantal Mellier</a>", "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/121233/", "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/3/?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/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/21/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] }, { "id": 72231, "title": "FLP Workshop: Design your future – Planning a fulfilling work and self-realisation experience", "slug": "flp-workshop-design-your-future-planning-a-fulfill", "event_url": "https://memento.epfl.ch/event/flp-workshop-design-your-future-planning-a-fulfill", "visual_url": "https://memento.epfl.ch/image/33510/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33510/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33510/max-size.jpg", "lang": "en", "start_date": "2026-11-09", "end_date": "2026-11-16", "start_time": "09:00:00", "end_time": "17:00:00", "description": "<p>In all professions including academic careers, satisfaction and a sense of fulfillment are not always at hand, leading sometimes to questioning professional choices. Have you experienced not being completely sure of what is professionally right for you? Have you wondered how you could find it out? Do you feel you might be not well equipped to decide on the next step in your career, or to lack orientation? In this workshop, you will be provided with tools and orientation models that will guide you in your career decisions, and implement them. These are based on an authenticity-oriented perspective aiming at a fulfilling work and self-realization experience.</p>", "image_description": "", "creation_date": "2026-07-14T11:21:21", "last_modification_date": "2026-07-14T11:23:17", "link_label": "Website", "link_url": "https://foster-lead-promote.ch/our_services/coachinggroups/", "canceled": "False", "cancel_reason": "", "place_and_room": "EPFL", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.fix-the-leaky-pipeline.ch/our_team/afi-sika-kuzeawu/\">Afi Sika Kuzeawu</a><br>\r\nWith a passion for creation, and a motivation for true fulfilment in life, I help people figure out what would be the right ingredients for them to experience an inspired and brilliant professional life. I draw on my knowledge and my personal experience to coach students, doctoral candidates and professionals in the course of their career decisions. As a creative consultant, I also work with entrepreneurs and public institutions to help them design and develop concepts out of their ideas, so that these can be implemented in the real world.", "organizer": "<a href=\"https://foster-lead-promote.ch/meet-our-experts/\">FLP</a> ", "contact": "<a href=\"mailto:[email protected]\">Chantal Mellier</a>", "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": "https://memento.epfl.ch/public/upload/files/DescriptionDesignYourFuture.pdf", "icalendar_url": "https://memento.epfl.ch/event/export/121261/", "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/3/?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" ] }, { "id": 72221, "title": "Formation continue: Intégration du photovoltaïque à l’enveloppe du bâtiment: Conception, caractéristiques des produits et cadre réglementaire. Microcredential (MC) de 3 jours", "slug": "formation-continue-integration-du-photovoltaique-3", "event_url": "https://memento.epfl.ch/event/formation-continue-integration-du-photovoltaique-3", "visual_url": "https://memento.epfl.ch/image/33501/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33501/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33501/max-size.jpg", "lang": "en", "start_date": "2026-11-06", "end_date": "2026-11-20", "start_time": null, "end_time": null, "description": "<strong>A qui le cours s’adresse-t-il ? </strong><br>\r\nCette formation continue Microcredential (MC) en <strong>photovoltaïque intégré aux bâtiments (BIPV)</strong> s’adresse principalement aux architectes, ingénieur-es, professionnel-les de la construction, gestionnaires de projets, ainsi qu’aux représentants-es d’instances cantonales ou communales et de la communauté académique. Que vous soyez actif-ve dans un bureau d’architecture, une entreprise de construction.<br>\r\n <br>\r\n<strong>Qu’allez-vous apprendre ?</strong><br>\r\nLe cours vise à équiper les professionnel-les expérimenté-es avec les compétences requises pour appliquer cette technologie dès les premières phases de conception ou de rénovation d’un bâtiment. Elle offre l’opportunité d’optimiser ce projet afin qu’il réponde efficacement aux enjeux climatiques et énergétiques actuels.\r\n<ul>\r\n\t<li>Comprendre les méthodes et techniques d’intégration des composants photovoltaïques à l’enveloppe des bâtiments, tant pour le neuf que pour l’existant</li>\r\n\t<li>Identifier les caractéristiques techniques, physiques et commerciales des différents produits photovoltaïques</li>\r\n\t<li>Connaître la réglementation, les dispositifs de soutien institutionnel et les normes de certification relatives à l’intégration photovoltaïque dans les bâtiments neufs et existants</li>\r\n</ul>\r\n<strong>Le micro-credential (MC)</strong> d’1 crédit ECTS en <strong>photovoltaïque intégré aux bâtiments (BIPV)</strong> se déroule sur 3 jours.\r\n\r\n<ul>\r\n\t<li><strong>Vendredi 6 novembre 2026</strong>, de 8h00 à 17h00<br>\r\n\tCampus UNIL-EPFL, Lausanne<br>\r\n\tApéro dînatoire (optionnel): de 17h00 à 19h00</li>\r\n\t<li><strong>Vendredi 13 novembre 2026</strong>, de 8h00 à 17h00<br>\r\n\tWorb (BE)</li>\r\n\t<li><strong>Vendredi 20 novembre 2026</strong>, de 8h00 à 18h00<br>\r\n\tCampus UNIL-EPFL, Lausanne</li>\r\n</ul>\r\n<strong>Délai d’inscription</strong><br>\r\n7 septembre 2026<br>\r\n <br>\r\n<strong>Pour plus d’informations et pour vous inscrire, consultez notre site web :</strong> <a href=\"http://https/www.formation-continue-unil-epfl.ch/formation/integration-photovoltaique/\"><strong>https://www.formation-continue-unil-epfl.ch/formation/integration-photovoltaique/</strong></a><br>\r\n<strong>ou contactez-nous à : </strong><a href=\"mailto:[email protected]?subject=Formation%20BIPV\"><strong>[email protected]</strong></a>", "image_description": "", "creation_date": "2026-07-09T16:25:45", "last_modification_date": "2026-07-09T16:29:34", "link_label": "Webpage", "link_url": "https://www.formation-continue-unil-epfl.ch/formation/integration-photovoltaique/", "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", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "<a href=\"https://www.formation-continue-unil-epfl.ch/formation/integration-photovoltaique/\">UNIL / EPFL Formation continue</a> <a href=\"mailto:[email protected]?subject=Formation%20Continue%20BIPV\">Energy Center</a>", "contact": "<a href=\"mailto:[email protected]?subject=Formation%20continue%3A%20Int%C3%A9gration%20du%20photovolta%C3%AFque%20%C3%A0%20l%E2%80%99enveloppe%20du%20b%C3%A2timent%3A%20Conception%2C%20caract%C3%A9ristiques%20des%20produits%20et%20cadre%20r%C3%A9glementaire\"><strong>[email protected]</strong></a>", "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": "formation continue BIPV, formation photovoltaïque intégrée au bâtiment, cours photovoltaïque bâtiment, énergie solaire dans le bâtiment, formation ingénierie, formation énergie solaire, formation pour architectes, formation façade solaire, architecture photovoltaïque", "file": "https://memento.epfl.ch/public/upload/files/FormationIntegrationphotovoltaiqueNov2026.pdf", "icalendar_url": "https://memento.epfl.ch/event/export/121246/", "category": { "id": 4, "code": "DIVERS", "fr_label": "Autres types d’événement", "en_label": "Miscellaneous", "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/105/?format=api", "https://memento.epfl.ch/api/v1/mementos/135/?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": 72752, "title": "From cold rolling to recrystallization annealing: an experimental and modeling study of microstructure and texture evolution in a recycled Al-Mg-Si alloy", "slug": "from-cold-rolling-to-recrystallization-annealing-2", "event_url": "https://memento.epfl.ch/event/from-cold-rolling-to-recrystallization-annealing-2", "visual_url": "https://memento.epfl.ch/image/33966/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33966/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33966/max-size.jpg", "lang": "en", "start_date": "2026-10-30", "end_date": "2026-10-30", "start_time": "17:00:00", "end_time": null, "description": "<p>Directeurs de thèse : Prof. R. Logé, Dr E. Cantergiani<br>\r\nProgramme doctoral en Manufacturing<br>\r\nThèse n° 11916<br>\r\n<br>\r\nPour participer à la soutenance publique, merci de contacter directement l’intervenant</p>", "image_description": "", "creation_date": "2026-10-02T13:40:27", "last_modification_date": "2026-10-02T13:40:28", "link_label": "", "link_url": "", "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": [], "speaker": "<strong>Yandong JING</strong>", "organizer": "", "contact": "<strong>Yandong JING</strong>", "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": "EDAM", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122043/", "category": { "id": 12, "code": "SOUTE", "fr_label": "Soutenances de thèses", "en_label": "Thesis defenses", "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/8/?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": 72734, "title": "From Dimers to Maximal Surfaces in Minkowski Space R^{2,1}", "slug": "from-dimers-to-maximal-surfaces-in-minkowski-space", "event_url": "https://memento.epfl.ch/event/from-dimers-to-maximal-surfaces-in-minkowski-space", "visual_url": null, "visual_large_url": null, "visual_maxsize_url": null, "lang": "en", "start_date": "2026-10-07", "end_date": "2026-10-07", "start_time": "15:00:00", "end_time": null, "description": "<p>We discuss a class of graph embeddings into Minkowski space R^{2,2} = C^{1,1}, called t-surfaces, which arise in the study of the planar dimer model. A t-surface consists of a (perfect) t-embedding together with its associated origami map. Perfect t-embeddings were recently introduced as a key tool for proving that the gradient of the dimer height function converges to that of the Gaussian Free Field in a canonically associated metric, under suitable technical assumptions. After introducing the notion of a t-embedding, we will describe a construction of perfect t-embeddings for regular hexagons of the hexagonal lattice. In which the corresponding t-surfaces converge to space-like maximal surfaces in Minkowski space R^{2,1}. As a consequence, these constructions yield a new proof of convergence of fluctuations of the dimer height function to the Gaussian Free Field in the conformal structure induced by the limiting maximal surface.</p>", "image_description": "", "creation_date": "2026-10-01T16:38:56", "last_modification_date": "2026-10-01T16:38:56", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "CM 1 517", "url_place_and_room": "https://plan.epfl.ch/?room==CM%201%20517", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "Marianna Russkikh", "organizer": "Prof. Martin Hairer", "contact": "Juliana Velasquez", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122018/", "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/7/?format=api" ] }, { "id": 60190, "title": "Funding for PhD students carrying out Flavor research (Giract)", "slug": "funding-for-phd-students-carrying-out-flavor-res-3", "event_url": "https://memento.epfl.ch/event/funding-for-phd-students-carrying-out-flavor-res-3", "visual_url": "https://memento.epfl.ch/image/22360/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/22360/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/22360/max-size.jpg", "lang": "en", "start_date": "2026-10-30", "end_date": "2026-10-30", "start_time": null, "end_time": null, "description": "<a href=\"https://www.giract.com/index.php\">GIRACT</a> is the leading transnational <strong>business research and consultancy</strong> organization specializing in <strong>food ingredients, additives</strong> and related <strong>fine chemicals</strong> and <strong>technologies</strong>.<br>\r\n<br>\r\nThe consortium of seven industry sponsors aims to raise awareness of the industry and career opportunities in order to increase the flavor research talent pool in Europe. The 7 sponsoring companies are:\r\n<ul>\r\n\t<li>Ajinomoto</li>\r\n\t<li>Asahi Group Foods</li>\r\n\t<li>Givaudan</li>\r\n\t<li>Kerry</li>\r\n\t<li>Lallemand Bio-Ingredients</li>\r\n\t<li>Lesaffre</li>\r\n\t<li>PepsiCo</li>\r\n</ul>\r\nThis 17th edition is organised by Giract, in coordination with Andrea Cattaruzza, Director of AndCat Ltd and Professor Emeritus Andy Taylor of the University of Nottingham, UK.<br>\r\n<br>\r\nThe aim of the program is to promote innovative flavor research amongst PhD students across European universities and research institutes. PhD students enrolled in universities and research institutes in 35 European countries (European Union, Iceland, Norway, Russia, Serbia, Switzerland, Turkey, Ukraine and UK) are eligible to apply.<br>\r\n<br>\r\n<strong>Funding</strong>:\r\n\r\n<ul>\r\n\t<li><strong>6 Bursaries for 1<sup>st</sup>–year PhD students</strong> (EUR 3,000 each)<br>\r\n\tSix first year PhD students are eligible to win a bursary of <strong>EUR 3000, each</strong>. Additionally, these six students have the opportunity of <strong>visiting the laboratory of certain sponsor companies</strong> during the second year of their PhD studies, by using a part of their winning bursary amount for their travel and stay. This will enable them to obtain a first-hand view of an industry R&D centre.<br>\r\n\t </li>\r\n\t<li><strong>Best PhD thesis award </strong>(EUR 5,000).<br>\r\n\tOne final year PhD student is eligible to win an award of <strong>EUR 5000</strong>. The winner will also be<strong> invited to the Savory Flavor and Food Industry Conference</strong>, held in Geneva, Switzerland as a platform for the winning student to present his/her work to 'potential employers'.</li>\r\n</ul>\r\n<br>\r\n<strong>The program targets two different groups of PhD students:</strong>\r\n\r\n<ul>\r\n\t<li><strong>Group 1 (bursaries for 1<sup>st</sup>–year PhD students): </strong>students who are about to start their PhD studies</li>\r\n\t<li><strong>Group 2 </strong> <strong>(best PhD thesis award):</strong> students who are about to complete their PhD and hence will soon be examining opportunities for employment.</li>\r\n</ul>\r\n<br>\r\n<strong>This is translated into the following sub-objectives:</strong>\r\n\r\n<ul>\r\n\t<li>Publicise the attractions of flavor research so as to pull high calibre students into appropriate PhD courses and then into industry</li>\r\n\t<li><strong>For Group 1:</strong>\r\n\t<ul>\r\n\t\t<li>Award bursaries to 6 selected students who are planning to start their PhD studies in flavor science during the 2026-2027 academic year</li>\r\n\t\t<li>Give the 6 winning 1<sup>st</sup>–year PhD students the opportunity to visit the laboratory of sponsor companies during the second year of their PhD studies through use of part of their bursary for travel and accommodation costs.</li>\r\n\t</ul>\r\n\t</li>\r\n\t<li><strong>For Group 2:</strong>\r\n\t<ul>\r\n\t\t<li>Solicit and evaluate innovative flavor research projects amongst these students</li>\r\n\t\t<li>Offer the opportunity to the winning student to present his/her work to potential employers at the Annual Savory Flavor & Food Industry Conference, held in Geneva in the spring of each year.</li>\r\n\t</ul>\r\n\t</li>\r\n</ul>\r\n<br>\r\n<strong>Who can apply?</strong><br>\r\nYou are eligible to apply provided you are\r\n<ul>\r\n\t<li>enrolled as a PhD student in a European University/Institute in 35 European countries (European Union, Iceland, Norway, Russia, Serbia, Switzerland, Turkey, Ukraine and UK)</li>\r\n\t<li>a PhD student planning your research in areas relevant to flavor science, technology, processing, chemistry, etc. in a European University/Institute.</li>\r\n</ul>\r\n \r\n\r\n<div>\r\n<div class=\"x_elementToProof\">Please visit this <a data-original-title=\"https://www.giract.com/flavor-research-programme.php\" href=\"https://giract.com/flavor-research-programme.php\" id=\"LPlnk653289\" rel=\"nofollow\" title=\"https://www.giract.com/flavor-research-programme.php\"> webpage</a> for eligibility and application details.</div>\r\n</div>\r\n \r\n\r\n<div class=\"x_elementToProof\">\r\n<div class=\"x__EId_OWALinkPreview_2 x__EReadonly_1 x__EType_OWALinkPreview x__Entity\"> </div>\r\n</div>\r\n\r\n<div> </div>", "image_description": "", "creation_date": "2022-08-15T13:16:06", "last_modification_date": "2026-08-21T08:31:57", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [], "speaker": "", "organizer": "", "contact": "<a href=\"mailto:[email protected]?subject=Funding%20for%20PhD%20students%20carrying%20out%20Flavor%20research%20(Giract)\">Research Office</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/103592/", "category": { "id": 16, "code": "PROP", "fr_label": "Appel à proposition", "en_label": "Call for proposal", "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/140/?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. 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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" ] } ] }
