Event List
retrieve:
Return the details about the given Event id.
list:
List all Event objects.
GET /api/v1/events/?format=api&offset=70&ordering=last_modification_date
{ "count": 238, "next": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=80&ordering=last_modification_date", "previous": "https://memento.epfl.ch/api/v1/events/?format=api&limit=10&offset=60&ordering=last_modification_date", "results": [ { "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": 70968, "title": "From Functional Genomics to Tissue Models: Investigating Pseudomonas aeruginosa-Macrophage Interactions", "slug": "from-functional-genomics-to-tissue-models-invest-2", "event_url": "https://memento.epfl.ch/event/from-functional-genomics-to-tissue-models-invest-2", "visual_url": "https://memento.epfl.ch/image/32356/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32356/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32356/max-size.jpg", "lang": "en", "start_date": "2026-04-24", "end_date": "2026-04-24", "start_time": "17:00:00", "end_time": null, "description": "<p>Thesis Director: Prof. A. L. A. Persat,<br>\r\nBiotechnology and Bioengineering doctoral program<br>\r\nThesis Nr. 11340<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-01-27T10:25:22", "last_modification_date": "2026-01-27T10:25:22", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "", "spoken_languages": [], "speaker": "<strong>Tania DISTLER</strong>", "organizer": "", "contact": "<strong>Tania DISTLER</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": "EDBB", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119475/", "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/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/111/?format=api" ] }, { "id": 70974, "title": "Brown Bag Seminar in Finance", "slug": "brown-bag-seminar-in-finance-13", "event_url": "https://memento.epfl.ch/event/brown-bag-seminar-in-finance-13", "visual_url": "https://memento.epfl.ch/image/32361/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32361/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32361/max-size.jpg", "lang": "en", "start_date": "2026-06-16", "end_date": "2026-06-16", "start_time": "12:15:00", "end_time": "13:15:00", "description": "", "image_description": "", "creation_date": "2026-01-27T10:56:12", "last_modification_date": "2026-01-27T10:56:12", "link_label": "", "link_url": "", "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://profiles.imperial.ac.uk/yang.liu19\">Mingyang Liu - PhD student, Imperial College London</a>", "organizer": "", "contact": "[email protected]\r\n\r\n ", "is_internal": "False", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 2, "fr_label": "Sur invitation", "en_label": "Invitation required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119483/", "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/3/?format=api", "https://memento.epfl.ch/api/v1/mementos/116/?format=api", "https://memento.epfl.ch/api/v1/mementos/39/?format=api", "https://memento.epfl.ch/api/v1/mementos/105/?format=api" ] }, { "id": 70782, "title": "“Mechanisms driving the rapid evolution of genomes”", "slug": "mechanisms-driving-the-rapid-evolution-of-genomes", "event_url": "https://memento.epfl.ch/event/mechanisms-driving-the-rapid-evolution-of-genomes", "visual_url": "https://memento.epfl.ch/image/32193/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32193/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32193/max-size.jpg", "lang": "en", "start_date": "2026-06-04", "end_date": "2026-06-04", "start_time": "12:15:00", "end_time": "13:15:00", "description": "<strong>A Lola and John Grace Distinguished Lecture in Cancer Research</strong>\r\n<div class=\"elementor-element elementor-element-98cefd8 elementor-widget elementor-widget-heading\">\r\n<div class=\"elementor-widget-container\">\r\n<div class=\"is-active tabs-panel\">\r\n<div class=\"bundle--tabs paragraph paragraph--type--tabs paragraph--view-mode--default\">\r\n<div class=\"row\">\r\n<div class=\"columns small-12\">\r\n<div class=\"body field__item\">David Pellman, M.D. is the Margaret M. Dyson Professor of Pediatric Oncology at the Dana-Farber Cancer Institute, a Professor of Cell Biology at Harvard Medical School, an Investigator of the Howard Hughes Medical Institute, and the Associate Director for Basic Science at the Dana-Farber/Harvard Cancer Center. He received his undergraduate and medical degrees from the University of Chicago. During medical school, he did research at the Rockefeller University. His postdoctoral fellowship was at the Whitehead Institute/Massachusetts Institute of Technology.<br>\r\n<br>\r\nThe Pellman Lab works on the mechanism of cell division and how certain cell division errors drive rapid genome evolution. His research has contributed to the understanding of cell division, the origin of cell division errors in cancer, how cell division errors drive genetic instability and the mechanisms driving rapid evolution of cancer genomes. Our contributions include (1) the co-discovery of formin-dependent actin nucleation and a mechanism for spindle positioning during asymmetric cell division, (2) discoveries establishing that whole genome duplication can drive tumorigenesis, alter cell physiology, and accelerate evolutionary adaptation, and (3) the discovery of a mechanism explaining chromothripsis, a mutational process that generates rapid karyotype evolution in cancer and congenital disease.</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n</div>\r\n\r\n<div class=\"elementor-element elementor-element-e552a16 elementor-widget elementor-widget-text-editor\">\r\n<div class=\"elementor-widget-container\"> </div>\r\n</div>", "image_description": "", "creation_date": "2026-01-06T16:10:28", "last_modification_date": "2026-01-28T14:34:52", "link_label": "", "link_url": "", "canceled": "False", "cancel_reason": "", "place_and_room": "SV 1717", "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717", "url_online_room": "https://epfl.zoom.us/j/97039045251?pwd=WDFjUGV3Y1FxeG9rTUIrOGpiUXhLQT09", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "David Pellman, M.D., Margaret M. Dyson Professor of Pediatric Oncology, Dana-Farber Cancer Institute, a Professor of Cell Biology at Harvard Medical School, an Investigator of the Howard Hughes Medical Institute, and the Associate Director for Basic Science at the Dana-Farber/Harvard Cancer Center. ", "organizer": "Prof. Pierre Gönczy", "contact": "Lisa Smith, ISREC Administrative Assistant", "is_internal": "True", "theme": "", "vulgarization": { "id": 2, "fr_label": "Public averti", "en_label": "Informed public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "Grace Lecture, cancer", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119190/", "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/26/?format=api", "https://memento.epfl.ch/api/v1/mementos/9/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70992, "title": "La « locomotive à fumée ». Histoire de la pollution de l'air par le chemin de fer au temps de la vapeur (France, Grande-Bretagne, années 1820-1960)", "slug": "la-locomotive-a-fumee-histoire-de-la-pollution-d-2", "event_url": "https://memento.epfl.ch/event/la-locomotive-a-fumee-histoire-de-la-pollution-d-2", "visual_url": "https://memento.epfl.ch/image/32379/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32379/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32379/max-size.jpg", "lang": "en", "start_date": "2026-05-07", "end_date": "2026-05-07", "start_time": "16:00:00", "end_time": null, "description": "<p>Thesis Directors: Prof. J. Baudry, Dr F. Jarrige<br>\r\nArchitecture and Sciences of the City doctoral program<br>\r\nThesis Nr. 11656<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>", "image_description": "", "creation_date": "2026-01-29T09:46:54", "last_modification_date": "2026-01-29T09:46:54", "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/69149446116", "spoken_languages": [], "speaker": "<a href=\"http://[email protected]\"><strong>Arthur Grégoire Jacques EMILE</strong></a>", "organizer": "", "contact": "<a href=\"http://[email protected]\"><strong>Arthur Grégoire Jacques EMILE</strong></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": "EDAR", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119509/", "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/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70999, "title": "Administrative Management of European Project - ERC and MSCA Projects", "slug": "administrative-management-of-european-project-er-2", "event_url": "https://memento.epfl.ch/event/administrative-management-of-european-project-er-2", "visual_url": "https://memento.epfl.ch/image/32387/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32387/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32387/max-size.jpg", "lang": "en", "start_date": "2026-06-11", "end_date": "2026-06-11", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>European Framework Programs for Research and Innovation.<br>\r\n<br>\r\nIs your laboratory involved in one or several European projects, and is one of your responsibilities to ensure their effective administrative, financial, and human‑resources management? If so, it is important to take the time to become familiar with the structure of these projects and with the specific management rules that apply to them.<br>\r\n<br>\r\nThis training course will guide you through the contractual documents and their relevant content for project management. Administrative, financial, and HR management rules will be presented and discussed using practical case studies.<br>\r\nThe training will also help participants become familiar with the European portal and the SEFRI reporting platform.<br>\r\n<br>\r\nIt is recommended to attend this training as early as possible, ideally at the start of the project.</p>", "image_description": "", "creation_date": "2026-01-30T10:06:37", "last_modification_date": "2026-01-30T10:07:35", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "EU-Funding Team of the Research Office", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119521/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71000, "title": "Gestion de projet européen - Projets collaboratifs", "slug": "gestion-de-projet-europeen-projets-collaboratifs-2", "event_url": "https://memento.epfl.ch/event/gestion-de-projet-europeen-projets-collaboratifs-2", "visual_url": "https://memento.epfl.ch/image/32388/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32388/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32388/max-size.jpg", "lang": "en", "start_date": "2026-09-01", "end_date": "2026-09-01", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>Programmes-cadres européens de la recherche et de l’innovation.<br>\r\n<br>\r\nVotre laboratoire participe à un ou plusieurs projets européens et une de vos missions est d’en assurer une gestion efficace au niveaux administratif, financier et celui des ressources humaines ? Pour cela, il est important de prendre le temps de vous familiariser avec la structure de ces projets et avec certaines règles de gestion qui leurs sont spécifiques.<br>\r\n<br>\r\nCette formation vous propose de prendre connaissance des documents contractuels et de leur contenu qui est utile pour votre gestion. Les règles de gestion administrative, financière et RH seront présentées et discutées en se basant sur des cas pratiques.<br>\r\nLa formation permettra aussi aux participants de se familiariser avec le portail européen et la plateforme de reporting du SEFRI.<br>\r\n<br>\r\nIl est recommandé de suivre cette formation le plus tôt possible, idéalement vers le commencement du projet.</p>", "image_description": "", "creation_date": "2026-01-30T10:08:17", "last_modification_date": "2026-01-30T10:10:37", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "speaker": "EU-Funding Team of the Research Office", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119523/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71001, "title": "Gestion de projet européen - Projets ERC et MSCA", "slug": "gestion-de-projet-europeen-projets-erc-et-msca-2", "event_url": "https://memento.epfl.ch/event/gestion-de-projet-europeen-projets-erc-et-msca-2", "visual_url": "https://memento.epfl.ch/image/32389/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32389/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32389/max-size.jpg", "lang": "en", "start_date": "2026-11-26", "end_date": "2026-11-26", "start_time": "09:30:00", "end_time": "12:00:00", "description": "<p>Programmes-cadres européens de la recherche et de l’innovation.<br>\r\n<br>\r\nVotre laboratoire participe à un ou plusieurs projets européens et une de vos missions est d’en assurer une gestion efficace au niveaux administratif, financier et celui des ressources humaines ? Pour cela, il est important de prendre le temps de vous familiariser avec la structure de ces projets et avec certaines règles de gestion qui leurs sont spécifiques.<br>\r\n<br>\r\nCette formation vous propose de prendre connaissance des documents contractuels et de leur contenu qui est utile pour votre gestion. Les règles de gestion administrative, financière et RH seront présentées et discutées en se basant sur des cas pratiques.<br>\r\nLa formation permettra aussi aux participants de se familiariser avec le portail européen et la plateforme de reporting du SEFRI.<br>\r\n<br>\r\nIl est recommandé de suivre cette formation le plus tôt possible, idéalement vers le commencement du projet.</p>", "image_description": "", "creation_date": "2026-01-30T10:11:14", "last_modification_date": "2026-01-30T10:12:40", "link_label": "Inscription", "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/565", "canceled": "False", "cancel_reason": "", "place_and_room": "", "url_place_and_room": "", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/1/?format=api" ], "speaker": "EU-Funding Team of the Research Office", "organizer": "KeepLearning", "contact": "[email protected]", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 1, "fr_label": "Sur inscription", "en_label": "Registration required" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119525/", "category": { "id": 15, "code": "FORM", "fr_label": "Formations internes", "en_label": "Internal trainings", "activated": true }, "academic_calendar_category": null, "domains": [], "mementos": [ "https://memento.epfl.ch/api/v1/mementos/145/?format=api", "https://memento.epfl.ch/api/v1/mementos/431/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 70859, "title": "Prototype Pavilion in Textile Reinforced Concrete with LC3 2026_ ENAC Summer Workshop", "slug": "prototype-pavilion-in-textile-reinforced-concret-3", "event_url": "https://memento.epfl.ch/event/prototype-pavilion-in-textile-reinforced-concret-3", "visual_url": "https://memento.epfl.ch/image/32250/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32250/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32250/max-size.jpg", "lang": "en", "start_date": "2026-08-24", "end_date": "2026-09-04", "start_time": null, "end_time": null, "description": "<p>The project aims to further investigate the structural, architectural, environmental, and social dimensions of TRC and its applications, particularly in the context of a new Multi-Purpose Space for the Department of Architecture & Interior Design Kenyatta University Campus, Nairobi, Kenya in collaboration with Urko Sanchez Architects. The space is intended to support academic, social, and experimental activities while serving as a living laboratory for sustainable and alternative construction methods. The pavilion should function not only as a usable academic space but also as a pedagogical tool, demonstrating climate-responsive design, material innovation, and adaptability over time. \r\n</p><div><br>\r\n<strong>CAN BE TAKEN AS A PART FOR THE SC MINOR</strong></div>\r\n<br>\r\nOrganized by the ENAC EPF Lausanne in collaboration with LMC EPFL lab and Kenyatta University, Nairobi, Kenia.<br>\r\n<br>\r\n<em>Teaching team:</em><br>\r\nPatricia Guaita, architect and lecturer, ENAC-IA-ALICE<br>\r\nRaffael Baur, architect, External expert ENAC EPFL<br>\r\nDavid Fernandez Ordonez, Lecturer, ENAC SGC<br>\r\nEnrique Corres, Construction Assistant, ENAC SGC<br>\r\n<br>\r\n<em>Invited experts:</em><br>\r\nDr. Beatrice Malchiodi, Post Doc, LMC EPFL<br>\r\nJaime Velasco, Architect, architect and Lecturer in Department of Architecture & Interior Design Kenyatta University Campus, Nairobi<br>\r\n<br>\r\n <br>\r\n<strong>EPFL Fribourg: 24 August - 04 Sept 2026</strong><br>\r\n <br>\r\n<strong>If you would like to register now, please send an email to </strong><strong><a href=\"mailto:[email protected]\">[email protected]</a></strong><br>\r\n<br>\r\n<img alt=\"\" height=\"868\" src=\"//memento.epfl.ch/public/upload/fckeditorimage/7a/dc/2b0d232e.jpg\" width=\"600\">", "image_description": "Summer workshop EPFL Fribourg 2025, photo: Nicolas Gemelli", "creation_date": "2026-01-14T13:38:32", "last_modification_date": "2026-01-30T11:31:06", "link_label": "", "link_url": "https://www.epfl.ch/schools/enac/education/fr/projeter-ensemble-fr/cours/enac-summer-workshops/a-prototype-pavillon-in-textile-reinforced-concrete-2/", "canceled": "False", "cancel_reason": "", "place_and_room": "EPFL Fribourg", "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": "Patricia Guaita, ENAC EPFL Projecter Ensemble", "contact": " [email protected] ", "is_internal": "True", "theme": "", "vulgarization": { "id": 1, "fr_label": "Tout public", "en_label": "General public" }, "registration": { "id": 3, "fr_label": "Entrée libre", "en_label": "Free" }, "keywords": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119303/", "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/8/?format=api", "https://memento.epfl.ch/api/v1/mementos/1/?format=api", "https://memento.epfl.ch/api/v1/mementos/4/?format=api", "https://memento.epfl.ch/api/v1/mementos/32/?format=api", "https://memento.epfl.ch/api/v1/mementos/6/?format=api" ] }, { "id": 71003, "title": "Imaging Lunch: A Practical Introduction to Machine Learning for Vision Applications", "slug": "imaging-lunch-a-practical-introduction-to-machine", "event_url": "https://memento.epfl.ch/event/imaging-lunch-a-practical-introduction-to-machine", "visual_url": "https://memento.epfl.ch/image/32391/200x112.jpg", "visual_large_url": "https://memento.epfl.ch/image/32391/720x405.jpg", "visual_maxsize_url": "https://memento.epfl.ch/image/32391/max-size.jpg", "lang": "en", "start_date": "2026-04-29", "end_date": "2026-04-29", "start_time": "11:00:00", "end_time": "13:00:00", "description": "<strong><a href=\"https://docs.google.com/forms/d/e/1FAIpQLSc1NukuuzIzzMnbDZkfudvj1M7wDJY6JeWQKoQrcl1ZIVFcUw/viewform?usp=header\">Registration</a><br>\r\n<br>\r\nAbstract</strong><br>\r\nThis workshop is designed for EPFL researchers interested in building effective, automated computer vision systems for scientific applications. During the workshop, we will review and explain the main steps of a machine learning-based computer vision project, from problem definition to image acquisition, annotation, training, validation, and inference. We will illustrate these steps in a practical way, by building a real computer vision application together until we can run it live on a camera. Along the way, we will discuss important concepts (data drift, overfitting, data augmentation) and observe how they manifest themselves in practice. We will also share tips and tricks to help you tackle your own computer vision challenges.<br>\r\n<br>\r\n<strong>Prerequisites:</strong><br>\r\nBasic familiarity with Python, image analysis, and machine learning concepts is desirable, but not strictly necessary.<br>\r\n<br>\r\n<strong>Level:</strong> <br>\r\nBeginner / Intermediate<br>\r\n ", "image_description": "", "creation_date": "2026-01-30T11:40:06", "last_modification_date": "2026-01-30T11:40:06", "link_label": "Registration", "link_url": "https://docs.google.com/forms/d/e/1FAIpQLSc1NukuuzIzzMnbDZkfudvj1M7wDJY6JeWQKoQrcl1ZIVFcUw/viewform?usp=header", "canceled": "False", "cancel_reason": "", "place_and_room": "CE 1 711.2", "url_place_and_room": "https://plan.epfl.ch/?room==CE%201%20711.2", "url_online_room": "", "spoken_languages": [ "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api" ], "speaker": "<a href=\"https://people.epfl.ch/mallory.wittwer?lang=en\">Mallory Witwer</a>", "organizer": "<a href=\"https://imaging.epfl.ch/\">Center for Imaging</a>", "contact": "<a href=\"https://people.epfl.ch/cecilia.carron?lang=fr\">Cecilia Carron</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": "", "file": null, "icalendar_url": "https://memento.epfl.ch/event/export/119528/", "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/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/284/?format=api", "https://memento.epfl.ch/api/v1/mementos/27/?format=api" ] } ] }
