retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=260&ordering=event__academic_calendar_category
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
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            "title": "Imaging Lunch: Introduction to image visualization with Napari",
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            "start_date": "2026-06-17",
            "end_date": "2026-06-17",
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            "description": "<div class=\"elementToProof\"><a href=\"https://docs.google.com/forms/d/e/1FAIpQLScPv1jP72ScE3HcMHFH_k8gQW23odk_Lk-v5K_3Hlnzj9sZ4g/viewform?usp=publish-editor\">Registration</a>\r\n<div class=\"elementToProof\">This workshop will introduce participants to the open-source Python-based viewer Napari designed for interactive visualization and analysis of large, multidimensional scientific data.</div>\r\n\r\n<div class=\"elementToProof\"> </div>\r\n\r\n<div class=\"elementToProof\">Napari enables real-time exploration and navigation of a wide range of n-dimensional, multimodal datasets (e.g 2D/3D images, time series, multichannel/hyperspectral data, as well as tracks, vectors, meshes, etc). Its plugin ecosystem and Python API make it highly extensible and well-suited for custom, reproducible analysis workflows.</div>\r\n\r\n<div class=\"elementToProof\"> </div>\r\n\r\n<div>Participants will learn how to use Napari to explore, annotate, and analyze data. The workshop begins with a brief introduction on basic concepts of 3D visualization, followed by an overview of the key features of the Napari viewer. We will then present how the viewer can be controlled programmatically as a Python object, then provide a short introduction to developing custom Napari plugins.</div>\r\n</div>",
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            "speaker": "<a href=\"https://people.epfl.ch/jules.vanaret\">Jules Vanaret</a>",
            "organizer": "https://imaging.epfl.ch/",
            "contact": "<a href=\"https://people.epfl.ch/cecilia.carron\">Cecilia Carron</a>",
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            "id": 71589,
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            "lang": "en",
            "start_date": "2026-04-30",
            "end_date": "2026-04-30",
            "start_time": "16:15:00",
            "end_time": "17:15:00",
            "description": "<p>tba<br>\r\n<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-04-14T13:15:20",
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            "link_label": "",
            "link_url": "https://www.epfl.ch/schools/sb/research/math/statistics-seminars/",
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            "cancel_reason": "",
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            "speaker": "David Rossel, Universitat Pompeu Fabra (UPF) and Barcelona School of Economics (BSE). ",
            "organizer": "Rajita Chandak",
            "contact": "Maroussia Schaffner",
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            "id": 71590,
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            "lang": "en",
            "start_date": "2026-05-08",
            "end_date": "2026-05-08",
            "start_time": "14:15:00",
            "end_time": null,
            "description": "<div class=\"elementToProof\">Abstract:<br>\r\nShear flows are one of the most well studied classes of vector fields. An important feature of shear flows is their ability to generate small scales and mix quantities that they transport. For passive scalar transport, these mixing rates can be quantified in a rather straightforward way. </div>\r\n\r\n<div class=\"elementToProof\">However, quantifying mixing rates for 2d Euler linearized around non-monotone shears is surprisingly subtle due to an effect known as vorticity depletion which is not present in the passive transport case. Since real fluids have viscosity, a natural question is to understand whether mixing rates persist in the presence of viscosity. In this talk, I will discuss recent progress on addressing this question for both the passive scalar advection-diffusion equation and the linearized Navier-Stokes equation. Based on joint work with Dallas Albritton (University of Wisconsin), Shan Chen (University of Minnesota), and Hao Jia (University of Minnesota). </div>\r\n\r\n<div class=\"elementToProof\"> </div>",
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            "creation_date": "2026-04-14T13:45:00",
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            "speaker": "Prof. Rajendra Beekie (Imperial College London)",
            "organizer": "Prof. Maria Colombo",
            "contact": "Dr. Michele Dolce",
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            "id": 71591,
            "title": "Decision Making under Risk and Uncertainty",
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            "start_date": "2026-06-08",
            "end_date": "2026-06-08",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Emre Telatar<br>\r\nThesis advisor: Prof. Michael Gastpar<br>\r\nCo-examiner: Prof. Negar Kiyavash<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nIn real-world decision problems, human needs can differ widely in background, culture, and objectives, making it difficult to design a single universal value function for agents. To design a model dealing with specific tasks, a natural starting point is to specify an appropriate utility (reward) function and optimize it. However, in practice, there are many factors that require attention when making decisions. This work mainly considers two factors: risk and uncertainty, and aims to study decision making through an information-theoretic lens, developing algorithms and interpretations for optimizing risk-sensitive utility functions under uncertainty.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "creation_date": "2026-04-14T14:29:53",
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            "speaker": "Bo-Yu Yang",
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            "id": 71592,
            "title": "Performance Interfaces for SSD-backed Systems",
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            "event_url": "https://memento.epfl.ch/event/performance-interfaces-for-ssd-backed-systems",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "11:00:00",
            "end_time": "13:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Sanidhya Kashyap<br>\r\nThesis advisor: Prof. George Candea<br>\r\nCo-examiner: Prof. Thomas Bourgeat<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
            "image_description": "",
            "creation_date": "2026-04-14T14:33:29",
            "last_modification_date": "2026-04-14T14:33:29",
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