retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=50&ordering=start_date
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 73014,
            "title": "Journal Launch and Conversation: Civicness Materia Arquitectura no. 29",
            "slug": "journal-launch-and-conversation-civicness-materi-2",
            "event_url": "https://memento.epfl.ch/event/journal-launch-and-conversation-civicness-materi-2",
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            "start_date": "2026-11-12",
            "end_date": "2026-11-12",
            "start_time": "18:00:00",
            "end_time": "19:30:00",
            "description": "<em>Materia Arquitectura 29</em>, an architectural journal guest-edited by Anna Livia Friel (TU Wien) and Agustina Labarca Gatica (EPFL), proposes a critical reassessment of the notion of civic architecture. Moving beyond the exceptional public building and traditional representations of the state, the issue examines the practices, infrastructures, institutions, and spatial relationships through which public life is produced and sustained.<br>\r\n<br>\r\nFor the launch event, organized by HITAM at EPFL in Lausanne, the guest editors will be joined by Felipe de Ferrari (Plan Común), Kersten Geers (OFFICE), Demetra Vogiatzaki (gta ETH Zürich), and Sarah M. Whiting (Harvard GSD) for a conversation on <em>civicness</em> and the contemporary public realm. Taking the journal as its point of departure, the discussion will explore how architecture can foster forms of publicness today, and how civic character is negotiated through design, use, representation, and institutional frameworks.<br>\r\n<br>\r\n<br>\r\n“We search for <em>civicness</em> today not because civic life is secure, but because this moment has pushed us just far enough outside it. From this partial exterior, we can perceive both its erosion and its necessity. Amid securitized public squares, outsourced infrastructures, and platform-mediated publics, <em>civicness</em> becomes visible not as a fixed category or style, but as a fragile architectural attitude that we are now compelled to identify, question, and, if possible, reposition.”<br>\r\n<br>\r\n“Civicness,” Materia Arquitectura no 29 (2025): 9<br>\r\n ",
            "image_description": "Shazid Ahsan | National Parliament, Dhaka, 5 August 2024 | Wikimedia Commons CC BY-SA 4.0",
            "creation_date": "2026-10-30T08:24:53",
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            "speaker": "Felipe De Ferrari (Plan Común), <br>\r\nKersten Geers (OFFICE)<br>\r\nDemetra Vogiatzaki (gta ETH Zürich)\r\n\r\nSarah M. Whiting (Harvard GSD)\r\n\r\nAnna Livia Friel (TU Wien)<br>\r\nAgustina Labarca Gatica (EPFL)",
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            "contact": "Agustina Labarca Gatica",
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        {
            "id": 73085,
            "title": "AI Center Seminar - AI Fundamentals series - Prof. Lorenzo Rosasco",
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            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-ai-fundamentals-series-prof-lore",
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            "start_date": "2026-11-12",
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            "description": "<p>This talk is jointly organized by the EPFL AI Center, the TML Lab, and the ELLIS Lausanne and Genoa Units, as part of the AI Fundamentals series.<br>\r\n<br>\r\n<strong>Title</strong><br>\r\nNonparametric learning of dynamical systems and control<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nWe consider the problem of learning from a single finite trajectory of a dynamical system. More precisely, we study discrete-time autonomous stochastic systems defining time-homogeneous ergodic Markov processes. We first focus on estimating the optimal one-step prediction function by nonlinear least squares and develop a foundational analysis yielding high-probability guarantees with respect to the invariant measure of the process. This analysis makes explicit how the non-independent and non-identically distributed nature of trajectory data modifies classical supervised learning analysis. It also readily extends to higher-order processes and finite state spaces. We then discuss how the analysis can be refined using weaker notions of ergodicity and assumptions relating the geometry of the chain to the prediction task. Finally, we show how the same approach extends to learning Koopman operators, which can in turn be used to control nonlinear dynamical systems. In particular, we discuss a model predictive control approach for switching dynamical systems.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nLorenzo Rosasco is a professor at the University of Genova and a principal investigator at the Italian Institute of Technology (IIT). He is a founder and coordinator of the Machine Learning Genova Center (MaLGa) and the Laboratory for Computational and Statistical Learning. He leads the Sustainable Artificial Intelligence and Learning unit at IIT. His research focuses on developing efficient machine-learning methods with rigorous theoretical foundations. He received his PhD from the University of Genova in 2006, after holding visiting positions at MIT, the Toyota Technological Institute at Chicago, and the Johann Radon Institute. From 2006 to 2013, he was a postdoctoral fellow and research scientist in MIT’s Department of Brain and Cognitive Sciences. He is an ELLIS Fellow and co-director of both the ELLIS program “Theory, Algorithms and Computations of Modern Learning Systems” and the ELLIS Genoa Unit. He has received several awards, including an ERC Consolidator Grant.</p>",
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        {
            "id": 73122,
            "title": "The Mayer-Vietoris spectral sequence for topological data analysis",
            "slug": "the-mayer-vietoris-spectral-sequence-for-topologic",
            "event_url": "https://memento.epfl.ch/event/the-mayer-vietoris-spectral-sequence-for-topologic",
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            "start_date": "2026-11-12",
            "end_date": "2026-11-12",
            "start_time": "10:00:00",
            "end_time": "11:00:00",
            "description": "<p>Persistent homology is a central tool of topological data analysis (TDA), but its usual pipeline assumes an unstructured point cloud. Often, though, the data come with extra structure: a cover! Examples are huge simplicial complexes built in parallel across many compute nodes, or point clouds with labels (cell or molecule types) that group the data. The Mayer-Vietoris spectral sequence (MVSS) is built for exactly this situation: it relates the persistent homology of the pieces of a cover and their intersections to that of the whole. But can it actually be made into a useful tool for TDA?<br>\r\nIn this talk I take you on that journey. I present a C++/MPI implementation of the MVSS for 3D complexes and show what it buys us, notably a per-process memory footprint that shrinks as the cover grows. I then turn to a case study on labeled data, where the spectral sequence tells apart patterns without ever computing the full persistent homology.</p>",
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            "creation_date": "2026-11-09T09:19:12",
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            "speaker": "<strong>Freya Jensen</strong>, Max Planck Institute of Molecular Cell Biology and Genetics, Dresden",
            "organizer": "Markus Kirolos Youssef",
            "contact": "Maroussia Schaffner",
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            "id": 69355,
            "title": "Sustainable Academy Seminar #7 Plastic Curse",
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            "start_date": "2026-11-13",
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            "description": "<br>\r\nThe School of Life Sciences and SV Sustainability are delighted to welcome <strong>Florian Breider, Tiffany Abitbol, and Felix Bobbink</strong> for the <strong>7<sup>th </sup>edition of the Sustainable Academy</strong>, dedicated to the theme <strong>“The Plastic Curse.” </strong><br>\r\n<br>\r\nPlastic has become an integral part of our daily lives. In fact, it is now often more difficult to find objects without plastic than with it. While plastic offers many advantages, including its versatility, durability, lightweight nature, and low cost, its production and disposal have significant environmental consequences. Plastic pollution poses major threats to ecosystems, biodiversity, and human health.<br>\r\n<br>\r\nResearch activities, particularly in the life sciences, rely heavily on plastic because of its numerous practical benefits. However, despite the challenges associated with managing plastic waste and closing material loops, more sustainable materials and circular solutions are emerging. <br>\r\n<br>\r\nWhether you are a scientist, student, or simply curious about the issue, this seminar will provide valuable insights into plastic use at EPFL, the impacts of plastic pollution on our environment and health, promising alternative materials, and innovative recycling approaches, including a perspective on chemical recycling from Plastogaz. <br>\r\n<br>\r\n Don't miss out on this unique opportunity to learn, connect, and be inspired! And don't forget to <a href=\"https://docs.google.com/forms/d/e/1FAIpQLSdL_DORscs9PtEdvx4Y1qZ79Ag6rC9maU6hzjLUfeQz0pnuwA/viewform?usp=header\">register</a>. <br>\r\n ",
            "image_description": "",
            "creation_date": "2025-06-24T13:59:04",
            "last_modification_date": "2026-10-05T09:49:20",
            "link_label": "Register here!",
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            "contact": "<a href=\"https://people.epfl.ch/mai-phuong.dinh\">Mai-Phuong Dinh </a>",
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            "id": 69765,
            "title": "ISIC Faculty Lunch",
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            "description": "<strong>President Anna Fontcuberta </strong>and<strong> Mrs. Françoise Bommensatt (VP for Finance) </strong>will be introducing Nexus to all of you. <br>\r\n<br>\r\n<strong>Agenda</strong><br>\r\n12:00 – 12:30 NEXUS Presentation<br>\r\n12:30 – 14:00 Standing Lunch",
            "image_description": "",
            "creation_date": "2025-09-09T11:23:01",
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            "contact": "<a href=\"https://people.epfl.ch/marta.ruizcumi\">Marta Ruiz Cumi</a>",
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            "id": 72025,
            "title": "Polarizing Green Disclosure",
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            "start_date": "2026-11-13",
            "end_date": "2026-11-13",
            "start_time": "11:00:00",
            "end_time": "12:15:00",
            "description": "<p>We study how green disclosure shapes portfolios and green investment. Disclosure polarizes shareholders and greenness outcomes: green investors concentrate in green firms and push them to become greener, while brown firms are held by less-green investors and reduce greenness. Because brown firms typically have cheaper opportunities to increase greenness, this sorting reduces aggregate greenness and imposes an externality cost despite improving allocative efficiency. Disclosure alone is not always welfare-improving and is complementary to externality-correcting policies such as carbon pricing. Welfare-maximizing managers overdisclose because they internalize disclosure's allocative gain but not its externality cost; price-maximizing managers can deliver higher welfare.<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-06-03T15:21:14",
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            "link_label": "",
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            "speaker": "<a href=\"https://simon.rochester.edu/faculty/alexandr-kopytov\">Alexandr Kopytov - University of Rochester</a>",
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            "id": 72508,
            "title": "How attention learns structure form data?",
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            "lang": "en",
            "start_date": "2026-11-13",
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