retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=200&ordering=image_description
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71936,
            "title": "Understanding and Predicting the Membrane Permeability of Macrocyclic Peptides Based on Large-Scale Data",
            "slug": "understanding-and-predicting-the-membrane-permeabi",
            "event_url": "https://memento.epfl.ch/event/understanding-and-predicting-the-membrane-permeabi",
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            "lang": "en",
            "start_date": "2026-09-15",
            "end_date": "2026-09-15",
            "start_time": "16:15:00",
            "end_time": "17:15:00",
            "description": "<p>Macrocyclic peptides are promising molecules for targeting intracellular protein–protein interactions and other challenging biological targets. However, their poor membrane permeability often limits their biological and therapeutic applications. Understanding the structural factors that govern passive membrane permeation is therefore essential for the rational design of cell-permeable macrocyclic peptides.<br>\r\n<br>\r\nIn this seminar, I will present our recent efforts to understand and predict the membrane permeability of macrocyclic peptides using large-scale experimental data, conformational analysis, and machine learning. We aim to clarify how conformational flexibility, including molecular chameleonicity, influences membrane permeability.<br>\r\n<br>\r\nI will also introduce our ongoing efforts toward DNA-encoded macrocyclic N-methyl peptide libraries as a future platform for discovering functional intracellular binders.</p>",
            "image_description": "Prof. Shinsuke Sando",
            "creation_date": "2026-05-22T16:51:02",
            "last_modification_date": "2026-05-22T16:51:02",
            "link_label": "Prof. Shinsuke Sando",
            "link_url": "https://park.itc.u-tokyo.ac.jp/sandolab/index_e.html",
            "canceled": "False",
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            "place_and_room": "CH G1 495",
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            "speaker": "Prof. Shinsuke Sando, University of Tokyo",
            "organizer": "C. Heinis",
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            "id": 71748,
            "title": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine",
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            "event_url": "https://memento.epfl.ch/event/reasoning-under-uncertainty-trustworthy-llms-for-h",
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            "lang": "en",
            "start_date": "2026-06-26",
            "end_date": "2026-06-26",
            "start_time": "09:30:00",
            "end_time": "11:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Mary-Anne Hartley<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nCurrent machine learning systems are very good at tasks reducible to statistical pattern recognition but falter on problems requiring deliberate, structured inference. Clinical reasoning exemplifies the latter: physicians generate hypotheses abductively, revise beliefs probabilistically as evidence accumulates, and choose among actions whose costs are deeply asymmetric. The harm of a missed diagnosis is not the harm of an unnecessary test. Large language models, increasingly deployed for clinical decision support, inherit this limitation. They conflate knowledge with inference: the same parameters that store medical facts are asked to reason over them, which leaves no explicit mechanism to quantify uncertainty, to abstain when evidence is insufficient, or to weight outcomes by their true clinical costs. This work argues that progress toward trustworthy medical AI requires separating the representation of knowledge from the machinery of inference, and grounding the latter in formal frameworks drawn from statistical decision theory. We investigate how these frameworks can be embedded into LLM reasoning pipelines and imposed as external scaffolding around them, maintaining competing hypotheses, guiding evidence gathering, and selecting actions that reflect the asymmetric cost structure of clinical practice. The goal is a class of systems capable of reasoning over their uncertainty, systems that know when they do not know.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine",
            "creation_date": "2026-04-29T09:21:38",
            "last_modification_date": "2026-04-29T09:21:38",
            "link_label": "",
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            "speaker": "Yusuf Kesmen",
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            "contact": "[email protected]",
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        {
            "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",
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            "start_date": "2026-08-24",
            "end_date": "2026-09-04",
            "start_time": null,
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            "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 &amp; 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 &amp; 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",
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            "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/",
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            "organizer": "Patricia Guaita, ENAC EPFL  Projecter Ensemble",
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