retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=170&ordering=event__speaker
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 69803,
            "title": "Higher moments for the SHE in high dimensions and their phase transitions",
            "slug": "higher-moments-for-the-she-in-high-dimensions-and",
            "event_url": "https://memento.epfl.ch/event/higher-moments-for-the-she-in-high-dimensions-and",
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            "start_date": "2026-04-14",
            "end_date": "2026-04-15",
            "start_time": "10:10:00",
            "end_time": "11:00:00",
            "description": "<p>We consider regularized versions of the stochastic heat equation (SHE) in high dimensions $d\\geq 3$ and analyze their higher moments in the limit as the regularization is removed, for varying coupling constants that describe the strength of the driving noise. Motivated by recent results on the higher moments of the SHE in two dimensions at $L^{2}$-criticality, a natural question is whether the higher moments of the SHE in high dimensions also converge at the $L^{2}$-critical point. Our main result gives a negative answer: in high dimensions, the higher moments diverge when the coupling constant belongs to a nontrivial right-closed interval whose upper endpoint is the $L^{2}$-critical point. In particular, we obtain a sharp bound for the critical coupling constant at which the corresponding limiting higher moment undergoes a phase transition. As an application to the continuous directed polymer, we derive a sharp estimate for quantity believed to be closely related to the tail probability of the limiting partition function.</p>",
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            "creation_date": "2025-09-12T13:47:07",
            "last_modification_date": "2026-03-30T15:59:29",
            "link_label": "Working-Reading  Seminar",
            "link_url": "https://www.epfl.ch/labs/stoan/reading-working-seminar/",
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            "speaker": "Dr Te-Chun Wang (EPFL)",
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            "id": 71448,
            "title": "Topological properties of rough fluids and plasmas",
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            "start_date": "2026-04-24",
            "end_date": "2026-04-24",
            "start_time": "14:15:00",
            "end_time": null,
            "description": "<p>Abstract:<br>\r\nAs anticipated by Onsager's conjecture, low-regularity solutions of the Euler equations exhibit greater flexibility than classical solutions. In the first part of this talk we focus on steady solutions, showing that in the low-regularity regime their streamlines can realize any prescribed topology, a phenomenon that cannot occur for classical solutions. The key tool is a novel implementation of convex integration that preserves the topology of the streamlines throughout the iteration. In the second part we extend these ideas to the MHD equations, constructing continuous weak solutions with constant nonzero helicity that nevertheless fail to conserve energy and cross helicity.</p>",
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            "creation_date": "2026-03-25T09:22:27",
            "last_modification_date": "2026-03-25T09:22:27",
            "link_label": "",
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            "speaker": "Dr. Javier Peñafiel-Tomás (ICMAT)",
            "organizer": "Prof. Maria Colombo",
            "contact": "Prof. Maria Colombo",
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            "id": 71121,
            "title": "IMX Colloquium - Polymers for people and planet - from solving problems in the lab to solving problems in the world",
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            "start_date": "2026-04-27",
            "end_date": "2026-04-27",
            "start_time": "13:15:00",
            "end_time": "14:15:00",
            "description": "<p>Polymers for people and planet - from solving problems in the lab to solving problems in the world</p>",
            "image_description": "",
            "creation_date": "2026-02-12T08:50:34",
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            "link_url": "https://www.macrocycle.tech/",
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            "speaker": "Dr. Jan-Georg Rosenboom, MIT / MacroCycle, USA  ",
            "organizer": "Prof. Gregor Jotzu, Prof. Fabien Sorin &amp; Prof. Esther Amstad",
            "contact": "Prof. Gregor Jotzu, Prof. Fabien Sorin &amp; Prof. Esther Amstad",
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            "id": 71500,
            "title": "IMX Talks - Sustainable green bio-polycarbonates from bio-based feedstocks and CO2 toward carbon-neutral goals",
            "slug": "imx-talks-sustainable-green-bio-polycarbonates-f-2",
            "event_url": "https://memento.epfl.ch/event/imx-talks-sustainable-green-bio-polycarbonates-f-2",
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            "lang": "en",
            "start_date": "2026-04-16",
            "end_date": "2026-04-16",
            "start_time": "16:15:00",
            "end_time": "17:00:00",
            "description": "<p>The growing challenges of plastic pollution, fossil resource depletion, and carbon emissions have accelerated the search for sustainable alternatives to polymers. This presentation will focus on the development of fully bio-based polycarbonates, synthesized through the polymerization of carbon dioxide with renewable epoxides. We will first detail our laboratory’s work in generating a diverse portfolio monomer from a wide range of bio-feedstocks including plant oils, terpenes, lignocellulosic biomass, and industrial byproducts. Another focus is the effect of monomer structure on resulting polymer properties and performance, and how post-polymerization modification strategies can be employed to tailor materials for specific applications. (2) Applications of bio-based polycarbonates will be then discussed in fields such as coatings, biomedical materials, adhesives, and their recycling pathways. (3) An outline of future directions will be explored, emphasizing the roles of advanced catalyst design, AI-driven manufacturing, and supportive policy frameworks to enable scalable and sustainable production. The integration of CO<sub>2</sub> utilization with renewable feedstocks presents a compelling route toward circular and carbon–neutral materials.<br>\r\n<br>\r\nBio: Shaoqing Cui, Ph.D., is a Principal Investigator under the Zhejiang University’s \"Hundred Talents Program\" and a recipient of China’s National High-level Talent Program - (Overseas Young Talent Project). She used to be an Assistant Professor at the University of Tennessee-Knoxville (United States) before joining Zhejiang University. Her research focuses on the valorization of agricultural waste and carbon dioxide conversion and utilization, including high-value utilization of agricultural straw, waste oils as well as  microalgae biomass. She has led and participated in multiple research projects, including a U.S. Department of Energy project on the efficient catalytic conversion of waste-treatment microalgae and CO<sub>2</sub> into high-value plastic products, also two U.S. Department of Agriculture projects. Since joining the Zhejiang University in 2023, she has also been leading several major research initiatives, including projects funded by the National Natural Science Foundation of China and Zhejiang Provincial Key R&amp;D Programs.</p>",
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            "creation_date": "2026-03-31T08:57:25",
            "last_modification_date": "2026-03-31T08:57:39",
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            "link_url": "https://person.zju.edu.cn/en/0022234",
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            "cancel_reason": "",
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            "speaker": "Dr. Shaoqing Cui, Zhejiang University, China",
            "organizer": "Prof. Tiffany Abitbol",
            "contact": "Prof. Tiffany Abitbol",
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            "id": 71528,
            "title": "Wave decay on slowly-rotating extremal Kerr-Newman black holes",
            "slug": "wave-decay-on-slowly-rotating-extremal-kerr-newman",
            "event_url": "https://memento.epfl.ch/event/wave-decay-on-slowly-rotating-extremal-kerr-newman",
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            "lang": "en",
            "start_date": "2026-05-22",
            "end_date": "2026-05-22",
            "start_time": "14:15:00",
            "end_time": null,
            "description": "<br>\r\nAbstract: <br>\r\nIn this talk, I will discuss the decay of solutions to the wave equation on slowly-rotating Kerr-Newman black holes. The behavior of waves on extremal spherically symmetric black holes and axisymmetric waves on rotational extremal black holes has seen remarkable recent developments. I will discuss how these developments can be extended to the case of slowly-rotating Kerr-Newman, highlighting the similarities between the structure of the wave operator at null infinity and the structure of the wave operator at the extremal horizon. <br>\r\n ",
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            "creation_date": "2026-04-01T19:39:32",
            "last_modification_date": "2026-04-01T19:44:53",
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            "speaker": "Dr Allen Fang, University of Muenster",
            "organizer": "Prof. Georgios Moschidis",
            "contact": "Prof. Georgios Moschidis",
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            "id": 71486,
            "title": "Topological Data Analysis for Gait Pattern Classification",
            "slug": "topological-data-analysis-for-gait-pattern-classif",
            "event_url": "https://memento.epfl.ch/event/topological-data-analysis-for-gait-pattern-classif",
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            "start_date": "2026-04-23",
            "end_date": "2026-04-23",
            "start_time": "10:00:00",
            "end_time": "11:00:00",
            "description": "<p>The classification of gait patterns is an important challenge in movement analysis, as it supports clinical assessment and decision-making by enabling diagnosis and severity stratification. In this talk, I will discuss the potential of Topological Data Analysis (TDA) for gait pattern classification. Unlike conventional approaches that rely on explicit detection of Gait Events (GEs) to compute Spatiotemporal Gait Parameters (SGPs), TDA characterises the global structure of gait signals directly, capturing relationships and patterns in the data without requiring GEs. This is particularly relevant in real-world settings, where GE detection can be diQicult due to heterogeneity in walking conditions and gait patterns, potentially biasing clinically relevant metrics and, consequently, decision-making.<br>\r\nWithin our department, preliminary results have shown that TDA-based features can achieve classification performance comparable to that of SGPs in fall-risk assessment. These findings suggest that topology oQers a competitive alternative for representing gait data, with the potential to better handle variability across subjects and pathological<br>\r\nconditions.<br>\r\nBuilding on these results, we plan to further extend the TDA framework in two directions. First, we aim to investigate time-aware topological methods to better capture the<br>\r\ntemporal structure of gait signals. Second, we will explore Topological Deep Learning (TDL) approaches to reduce reliance on handcrafted design choices and potentially<br>\r\nimprove classification performance. By combining the robustness of topology with datadriven representation learning, this work seeks to provide robust tools for the classification of typical and pathological gait patterns.<br>\r\n </p>",
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            "creation_date": "2026-03-30T09:44:37",
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            "speaker": "Elena Botti, Vrije Universiteit Brussel (VUB)",
            "organizer": "Markus Kirolos",
            "contact": "Maroussia Schaffner",
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            "id": 70481,
            "title": "Le flow: comment conjuguer performance et plaisir au travail",
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            "event_url": "https://memento.epfl.ch/event/le-flow-comment-conjuguer-performance-et-plaisi-10",
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            "lang": "en",
            "start_date": "2026-05-07",
            "end_date": "2026-05-07",
            "start_time": "09:00:00",
            "end_time": "17:00:00",
            "description": "<p>Découvrir son ADN motivationnel au travail, mieux comprendre et mettre en œuvre ses leviers de motivation pour conjuguer santé émotionnelle, efficience et qualité de vie au travail.<br>\r\n<br>\r\nPourquoi certaines personnes sont-elles heureuses au travail et d’autres moins ? Qu’est-ce que le Flow, ce concept auquel vous n’avez certainement pas échappé ces dernières années tant il a été diffusé largement dans les médias ? Mais concrètement que se cache-t-il derrière cette notion au travail ? Le Flow est un état émotionnel bénéfique dans lequel compétence et challenge sont réunis et produisent du bien-être et de la performance.<br>\r\nGrâce à la théorie du Flow issue des recherches du psychologue Mihály Csikszentmihalyi, on peut identifier les causes des émotions ressenties lors d’une activité.</p>",
            "image_description": "",
            "creation_date": "2025-11-17T15:46:02",
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            "speaker": "Emmanuel Jeger ",
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        {
            "id": 70717,
            "title": "Training \"Ethics in Research Data Management: Anonymization and Best Practices\"",
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            "start_date": "2026-04-23",
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            "description": "<div class=\"all_text\"><strong>Ethical-driven practices in data management are crucial for maintaining research integrity, protecting privacy, and collaborate with research partners, and fostering trust in research outputs. This short training focuses on the practices of ethical data management and the adoption of anonymization techniques for compliance with data protection laws.</strong><br>\r\n<br>\r\nThrough interactive discussions and case studies, participants will learn to:<br>\r\n- Address ethical challenges in data collection and management in compliance with Swiss and European laws<br>\r\n- Understand how anonymization techniques and responsible data handling can protect subjects’ privacy<br>\r\n- Strengthen research integrity by applying best practices in everyday data management workflows.</div>\r\n<br>\r\nWith a dedicated Q&amp;A session featuring the EPFL Research Ethics Compliance Officer and Senior Legal Counsel for Education and Research, you will also have the occasion to discuss the ethical and related technical dimensions of managing your research data.\r\n<div class=\"all_text\"><br>\r\nWhile not mandatory, basic knowledge of Research Data Management is recommended: for an introductory training, please register for the workshop <a href=\"https://bookwhen.com/fr/epfl_library/e/ev-s22p-20260305150000\" target=\"_blank\">ABC of Research Data Management</a>.<br>\r\n<br>\r\n<a href=\"https://bookwhen.com/fr/epfl_library/e/ev-sbj8a-20260423150000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Teaching offer</a></div>",
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        {
            "id": 70718,
            "title": "Training \"Data/Code Publication\"",
            "slug": "training-datacode-publication-3",
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            "end_date": "2026-05-21",
            "start_time": "15:00:00",
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            "description": "<div class=\"all_text\"><strong>While research funders and publishers mandate the dissemination of data and code underlying the published results, little guidance is provided on how to do it. </strong><br>\r\n<br>\r\nThis workshop addresses the selection of suitable data repositories, explores the role of data journals, and examines data publishing beyond the basic requirements of funders. The session includes a hands-on demonstration of Zenodo, the preferred data repository among EPFL researchers. We will also explore how Zenodo integrates with GitHub repositories, ensuring all necessary publishing metadata is available to disseminate your academic work. Additionally, we will cover the appropriate licensing for your datasets and address data anonymization concerns.<br>\r\n<br>\r\nAt the end of this workshop, which will be held <strong>in presence only</strong>, you will be able to:\r\n<ul>\r\n\t<li>Choose the right repository for your code/data;</li>\r\n\t<li>Publish your code/data in the EPFL Zenodo community.</li>\r\n</ul>\r\nWhile not mandatory, basic knowledge of Research Data Management is recommended: for an introductory training, please register for the workshop<a href=\"https://bookwhen.com/fr/epfl_library/e/ev-s22p-20260305150000\"> ABC of Research Data Management.</a><br>\r\n<br>\r\n<a href=\"https://bookwhen.com/fr/epfl_library/e/ev-s22p-20260305150000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Teaching offer</a></div>",
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        {
            "id": 70719,
            "title": "Training \"Up to Speed with Zotero\"",
            "slug": "training-up-to-speed-with-zotero-8",
            "event_url": "https://memento.epfl.ch/event/training-up-to-speed-with-zotero-8",
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            "start_date": "2026-05-12",
            "end_date": "2026-05-12",
            "start_time": "09:30:00",
            "end_time": "11:30:00",
            "description": "<div class=\"all_text\"><strong>This workshop is for people who want to start using Zotero, an open source software which enables you to collect, organize and share bibliographic references. From a thesis to an academic paper, Zotero can spare you a huge amount of time.</strong><br>\r\n<br>\r\nAt the end of this workshop, which will be <strong>held on Zoom only</strong>, you will be able to:\r\n<ul>\r\n\t<li>Collect bibliographic references from different sources.</li>\r\n\t<li>Organize your references in a neat manner.</li>\r\n\t<li>Get to know what a reference style is and how to switch it easily.</li>\r\n\t<li>Create a bibliography with a few clicks.</li>\r\n</ul>\r\n<a href=\"https://bookwhen.com/epfl_library/e/ev-sal5m-20260512093000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Teaching offer</a></div>",
            "image_description": "CC-BY-NC-SA EPFL Library",
            "creation_date": "2025-12-18T15:21:23",
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            "link_label": "Registration",
            "link_url": "https://bookwhen.com/epfl_library/e/ev-sal5m-20260512093000",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
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            "url_online_room": "https://epfl.zoom.us/j/69255878305",
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            "speaker": "EPFL Library Training Team",
            "organizer": "EPFL Library",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
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            "registration": {
                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/119092/",
            "category": {
                "id": 15,
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