Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=190&ordering=-event__place_and_room
{ "count": 262, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=200&ordering=-event__place_and_room", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=180&ordering=-event__place_and_room", "results": [ { "id": 72662, "title": "Microsecond-Scale Replication: From Shared Memory to Byzantine Consensus", "slug": "microsecond-scale-replication-from-shared-memory-2", "event_url": "https://memento.epfl.ch/event/microsecond-scale-replication-from-shared-memory-2", "visual_url": "https://memento.epfl.ch/image/33894/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33894/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33894/max-size.jpg", "lang": "en", "start_date": "2026-10-16", "end_date": "2026-10-16", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. R. Guerraoui,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 10873<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-09-23T12:32:29", "last_modification_date": "2026-09-23T12:32:35", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 420", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420", "url_online_room": "https://epfl.zoom.us/j/62131313003", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Antoine MURAT</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Antoine MURAT</strong></a><br>\r\n ", "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": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121912/", "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" ] }, { "id": 72663, "title": "Systems for Knowledge Reuse in Distributed Machine Learning", "slug": "systems-for-knowledge-reuse-in-distributed-machi-2", "event_url": "https://memento.epfl.ch/event/systems-for-knowledge-reuse-in-distributed-machi-2", "visual_url": "https://memento.epfl.ch/image/33895/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33895/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33895/max-size.jpg", "lang": "en", "start_date": "2026-10-09", "end_date": "2026-10-09", "start_time": "18:00:00", "end_time": null, "description": "<p>Thesis Directors: Prof. A.-M. Kermarrec, Prof. R. Guerraoui<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11716<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-09-23T12:58:53", "last_modification_date": "2026-09-23T12:58:56", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 420", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420", "url_online_room": "https://epfl.zoom.us/j/67510236624", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Diana Andreea PETRESCU</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Diana Andreea PETRESCU</strong></a><br>\r\n ", "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": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121914/", "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" ] }, { "id": 72769, "title": "Locality-Aware and Recoverable Synchronization Primitives", "slug": "locality-aware-and-recoverable-synchronization-p-2", "event_url": "https://memento.epfl.ch/event/locality-aware-and-recoverable-synchronization-p-2", "visual_url": "https://memento.epfl.ch/image/33984/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33984/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33984/max-size.jpg", "lang": "en", "start_date": "2026-12-16", "end_date": "2026-12-16", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. S. Kashyap,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 11376<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-10-05T15:51:26", "last_modification_date": "2026-10-05T15:51:29", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 420", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20420", "url_online_room": "https://epfl.zoom.us/my/vishal.gupta", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>Vishal GUPTA</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>Vishal GUPTA</strong></a><br>\r\n ", "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": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122069/", "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" ] }, { "id": 72770, "title": "Exploiting Structure in Nonconvex Stochastic Optimization: Auxiliary Information, Second-Order Methods, and Compositional Objectives", "slug": "exploiting-structure-in-nonconvex-stochastic-opt-2", "event_url": "https://memento.epfl.ch/event/exploiting-structure-in-nonconvex-stochastic-opt-2", "visual_url": "https://memento.epfl.ch/image/33985/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33985/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33985/max-size.jpg", "lang": "en", "start_date": "2026-10-16", "end_date": "2026-10-16", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. M. Jaggi,<br>\r\nComputer and Communication Sciences doctoral program<br>\r\nThesis Nr. 10949<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-10-05T16:13:36", "last_modification_date": "2026-10-05T16:13:38", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "BC 010", "url_place_and_room": "https://plan.epfl.ch/?room==BC%20010", "url_online_room": "https://epfl.zoom.us/j/62739766043?pwd=p8yKL25d1VSaj4yhpcgUFnOebdXI5p.1", "spoken_languages": [], "speaker": "<a href=\"mailto:[email protected]\"><strong>El Mahdi CHAYTI</strong></a>", "organizer": "", "contact": "<a href=\"mailto:[email protected]\"><strong>El Mahdi CHAYTI</strong></a><br>\r\n ", "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": "EDIC", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/122071/", "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" ] }, { "id": 72194, "title": "Neuro-X seminar: Prof Tim O'Shea - Engineering astrocytes to promote wound repair and modulate foreign body responses in the CNS", "slug": "neuro-x-seminar-prof-tim-o-shea-engineering-astroc", "event_url": "https://memento.epfl.ch/event/neuro-x-seminar-prof-tim-o-shea-engineering-astroc", "visual_url": "https://memento.epfl.ch/image/33474/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33474/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33474/max-size.jpg", "lang": "en", "start_date": "2026-10-09", "end_date": "2026-10-09", "start_time": "11:00:00", "end_time": "12:00:00", "description": "<p>Astrocytes are the predominant glial cells in the mammalian central nervous system (CNS) and play essential roles in maintaining neural circuit activity and tissue homeostasis. In response to CNS insult, including traumatic injury or implantation of a medical device, astrocytes undergo a conserved, temporally regulated reprogramming that reshapes their prioritized functions to protect adjacent neural tissue. The nature and extent of astrocyte reprogramming critically influences outcomes after CNS insult. For example, regeneration after traumatic CNS injury in adult mammals is limited by local responding astrocytes lacking sufficient self-renewal capacity. By contrast, the CNS of neonate (newborn) mammals possesses exceptional parenchymal repair capacity owing to immature astrocytes with elevated proliferative and migratory potential. In the context of an implanted medical device, the spatial extent of astrocyte reprogramming and how impacted astrocytes respond to any further device micromotion, latent infection, or other persistent device-derived stimuli, dictates device performance and longevity. Engineering astrocyte responses to promote targeted functional gains while preserving key capabilities of healthy neural tissue astrocytes will be critical to enabling effective neural regeneration therapies and improving long-term performance of implanted devices. In this talk, I will outline our emerging understanding of how adult astrocytes adaptively reprogram in response to CNS injury and implanted foreign bodies, drawing insights from innovative astrocyte-specific transcriptomic bioassays. I will also provide an overview of biomaterial and cell-grafting strategies that we are exploring to direct astrocyte responses in preclinical models of stroke, spinal cord injury, and foreign body responses.<br>\r\n<br>\r\n<strong>Bio:</strong><br>\r\n<strong>Dr. Timothy O’Shea, PhD</strong> is an Assistant Professor in the Biomedical Engineering department at Boston University (BU). Tim grew up in Brisbane, Australia and completed a Bachelor of Medical Engineering (First Class Honours) and a Masters in Engineering Management at Queensland University of Technology (QUT) before moving to the US for graduate school. He completed his PhD study in Medical Engineering and Medical Physics within the collaborative Health Sciences and Technology program of the Harvard Medical School and the Massachusetts Institute of Technology where we conducted PhD thesis research with Institute Professor Robert Langer. As a Postdoctoral Fellow in Neurobiology at UCLA, he worked with Professors Michael Sofroniew (Neurobiology) and Timothy Deming (Bioengineering) developing and testing novel bioengineering tools to study biological mechanisms involved in CNS injury and repair as well as the CNS foreign body response to implants. Since Fall 2020 he has been leading the Glia Engineering Lab at BU where he has received numerous awards including the Maximizing Investigators' Research Award (MIRA) from NIH and grants from several spinal cord injury research foundations such as Craig H Neilsen, Paralyzed Veterans of America, Bryon Reisch, and Wings for Life.</p>", "image_description": "", "creation_date": "2026-07-01T12:06:17", "last_modification_date": "2026-09-29T15:26:49", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "B1-6", "url_place_and_room": "https://plan.epfl.ch/?room==B1%206%20272.043", "url_online_room": "https://epfl.zoom.us/j/62394730036?pwd=jz0K4NPrEtbqswaGBRIOJ0Kf64PwYm.1", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://www.bu.edu/eng/profile/timothy-oshea-ph-d/\">Tim O'Shea</a>", "organizer": "<a href=\"http://people.epfl.ch/mark.anderson\">Mark Anderson</a>", "contact": "<a href=\"https://people.epfl.ch/niels.lion?lang=en\">Niels Lion</a>", "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/121206/", "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/19/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api", "https://memento.epfl.ch/api/v1/mementos/392/?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": 72665, "title": "2026 UNIL/EPFL MD-PhD Retreat", "slug": "2026-unilepfl-md-phd-retreat", "event_url": "https://memento.epfl.ch/event/2026-unilepfl-md-phd-retreat", "visual_url": "https://memento.epfl.ch/image/33897/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33897/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33897/max-size.jpg", "lang": "en", "start_date": "2026-11-18", "end_date": "2026-11-18", "start_time": "08:45:00", "end_time": "18:00:00", "description": "<p>An annual scientific meeting organized by the Lausanne MD-PhD Commission UNIL and EPFL. Medical students interested in combining medicine and research are warmly welcome. <br>\r\n<br>\r\nThe retreat brings together MD-PhD students and candidates, alumni, thesis directors and faculty members. Medical students interested in pursuing an MD-PhD are warmly welcome to discover the programme and meet its community. Attendance is mandatory for students currently enrolled in the MD-PhD programme.<br>\r\n<br>\r\nThe programme includes research presentations and posters by doctoral students, invited talks, interactive speed coaching with UNIL/EPFL principal investigators and MD-PhD alumni, and a roundtable with senior clinical and academic leaders on clinical career pathways and support for MD-PhD graduates. Prizes will recognise the best oral presentation and the three best posters.<br>\r\n<br>\r\nCoffee and croissants will be served from 08:45, with the opening at 09:00. The roundtable is scheduled from 15:00 to 16:00, followed by an apéritif and informal discussions. The event is expected to finish by 18:00, including the apéritif. The provisional programme is available below and remains subject to change.<br>\r\n<br>\r\nLunch and the closing apéritif are offered. To register, please download, complete and save the registration form available below, then email it as an attachment to [email protected], indicating whether you will attend lunch and the apéritif. Before sending, please reopen the saved PDF to check that your answers have been retained.<br>\r\n<br>\r\nThe talks will be held in English. <br>\r\n<strong>Registration deadline: October 31, 2026</strong><br>\r\n </p>", "image_description": "", "creation_date": "2026-09-24T12:05:19", "last_modification_date": "2026-09-24T12:12:57", "link_label": "More info", "link_url": "https://www.unil.ch/events/1789718506023", "canceled": "False", "cancel_reason": "", "place_and_room": "Auditoire César Roux, CHUV, Rue du Bugnon 46, 1011 Lausanne", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "", "organizer": "Organised by the MD-PhD Commission UNIL/EPFL, with the support of EPFL and the CHUV Directorate General.", "contact": "<a href=\"mailto:[email protected]\">[email protected]</a>", "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": "https://memento.epfl.ch/public/upload/files/2026MDPhDRetreatRegistrationform.pdf", "icalendar_url": "https://memento.epfl.ch/event/export/121917/", "category": { "id": 1, "code": "CONF", "fr_label": "Conférences - Séminaires", "en_label": "Conferences - Seminars", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/5/?format=api", "https://memento.epfl.ch/api/v1/mementos/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/318/?format=api" ] }, { "id": 72214, "title": "Do Robots Dream of Construction Sites? / ARCHIZOOM x CRCL", "slug": "do-robots-dream-of-construction-sites-archizoom--3", "event_url": "https://memento.epfl.ch/event/do-robots-dream-of-construction-sites-archizoom--3", "visual_url": "https://memento.epfl.ch/image/33494/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/33494/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/33494/max-size.jpg", "lang": "en", "start_date": "2026-09-09", "end_date": "2026-12-05", "start_time": null, "end_time": null, "description": "<strong>DO ROBOTS DREAM OF CONSTRUCTION SITES?<br>\r\n09.09-05.12.2026<br>\r\n<br>\r\nOpening Tuesday 8 September<br>\r\n6.15pm – </strong>Discussion between Stefana Parascho and Aude Billard, moderated by Pier Vittorio Aureli<br>\r\n<strong>7.30pm –</strong> Opening doors and aperitive<br>\r\n<br>\r\nWhat if robots didn’t replace us, but worked alongside us? Robots are capable of assembling, analysing, experimenting and learning from their mistakes. Could they take on construction work without replacing human labour? Research carried out by the CRCL – Lab for Creative Computation at EPFL explores a form of collaboration between humans and machines that departs from the traditional promise of automation. It opens the way to more inclusive building sites and non-standardised, more environmentally friendly architecture that goes beyond the mere logic of replacement and productivity. <br>\r\n<br>\r\n<strong>An exhibition produced in collaboration with the <a href=\"https://www.crclcrclcrcl.org/\">CRCL – Lab for Creative Computation</a>, led by Stefana Parascho</strong>", "image_description": "", "creation_date": "2026-07-07T11:36:24", "last_modification_date": "2026-07-13T17:08:03", "link_label": "Do Robots Dream of Construction Sites", "link_url": "https://www.epfl.ch/campus/art-culture/museum-exhibitions/archizoom/fr/do-robots-dream-of-construction-sites/", "canceled": "False", "cancel_reason": "", "place_and_room": "Archizoom", "url_place_and_room": "https://plan.epfl.ch/?room==SG%201212", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api", "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "CRCL - Lab for Creative Computation", "organizer": "Archizoom", "contact": "Cyril Veillon, Solène Hoffmann", "is_internal": "False", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "Architecture, Technology, Construction, Robotic, Robots, Travail, Labor, Durability", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/121235/", "category": { "id": 5, "code": "EXPO", "fr_label": "Expositions", "en_label": "Exhibitions", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api", "https://memento.epfl.ch/api/v1/mementos/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/22/?format=api", "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "https://memento.epfl.ch/api/v1/mementos/45/?format=api", "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/417/?format=api" ] } ] }
