retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=120&ordering=start_time
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71805,
            "title": "Coding Club for Girls in St. Gallen",
            "slug": "coding-club-for-girls-in-st-gallen-8",
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            "start_date": "2026-11-18",
            "end_date": "2026-11-25",
            "start_time": "13:30:00",
            "end_time": "16:00:00",
            "description": "<p>Eine App programmieren? Ein Computerspiel erfinden? Eine Animation gestalten?<br>\r\nWenn dich eines dieser Dinge interessiert, bist du hier am richtigen Ort! Tausche und teile deine Ideen, lerne zu programmieren und entdecke Informatikberufe.<br>\r\n<br>\r\nDie <a href=\"https://www.epfl.ch/education/education-and-science-outreach/de/jugendliche/coding-club/\">Coding Club for Girls</a> Workshops sind für Mädchen im Alter von 11 bis 15 Jahren und die Teilnahme ist kostenlos. Ab der Teilnahme an vier Workshops pro Jahr wird eine Teilnahmebestätigung ausgehändigt. <br>\r\n<br>\r\n<strong>Ort:</strong>  Smartfeld, St. Gallen<br>\r\n<br>\r\n<strong>Datum und Zeit:</strong><br>\r\n<strong>Mittwoch, 18. November 2026: 13:30 bis 16:00 Uhr  // Hello 3D World</strong><br>\r\n<strong>Mittwoch, 25. November 2026 : 13:30 bis 16:00 Uhr  // Webdesignerin</strong><br>\r\n<br>\r\nDie Inhalte der Workshops sind untenstehend beschrieben.<br>\r\n<br>\r\n<strong>Bedingungen</strong>\r\n</p><ul>\r\n\t<li>Gratis</li>\r\n\t<li><a href=\"https://forms.gle/Bk4vieCLDPepMSL37\">Anmeldung unter diesem Link </a></li>\r\n\t<li><a href=\"https://www.epfl.ch/education/education-and-science-outreach/de/teilnahmebedingungen/\">Allgemeine Teilnahmebedingungen EPFL - SPS Aktivitäten</a> </li>\r\n</ul>\r\n<strong>Workshops:<br>\r\nHello 3D World - Mittwoch, 18. November 2026</strong><br>\r\nWie denkst du wurden die Figuren und Kulissen in den Filmen Shrek, Cars, Ice Age oder Kung Fu Panda gestaltet? Beim Entwerfen und Animieren von 3D-Objekten kannst Du wie im richtigen Animationsstudio gleichzeitig in die Rolle einer Künstlerin und einer Informatikerin schlüpfen. Du wirst dreidimensionale Objekte rund um das Thema Wald gestalten und in einem zweiten Schritt deiner Fantasie freien Lauf lassen und deine eigenen 3D-Objekte entwerfen!<br>\r\n<br>\r\n<strong>Webdesignerin - Mittwoch, 25. November 2026</strong><br>\r\nEntdecke den Hintergrund einer Webseite und entwerfe deine eigene von A bis Z mit derselben Sprache wie die Profis! An diesem Workshop wirst du mit HTML vertraut und wirst verstehen, wie Webseiten gestaltet wurden und wie weit du selbst gehen kannst.<br>\r\n<br>\r\n<a href=\"https://forms.gle/Bk4vieCLDPepMSL37\"><strong>Anmeldung</strong></a><br>\r\n ",
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            "id": 73009,
            "title": "Running Effective Meetings : LeaderLike Facilitation Skills (EN)",
            "slug": "running-effective-meetings-leaderlike-facilitat-19",
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            "start_date": "2027-09-02",
            "end_date": "2027-09-13",
            "start_time": "13:30:00",
            "end_time": "17:30:00",
            "description": "<p>You lead, run, and attend meetings – at varying levels of involvement, and with varying levels of success both as meeting owner and participant. You would like to learn new skills and acquire tools to be more effective both online / offline and run hybrid meetings and communicate effectively using powerful and persuasive presentation, influence, and connection skills. The LeaderLike Facilitator Program will help you to steer processes, meetings, while keeping participants on track with impeccable timing, to create tangible results – while communicating, structuring, and delivering messages and remaining congruent to self.<br>\r\n<br>\r\n3 half-days hybrid workshop: September 2, 6 and 13, 2027 (from 1.30 to 5.30 pm)</p>",
            "image_description": "",
            "creation_date": "2026-10-29T14:27:58",
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            "speaker": "Robert Kahn",
            "organizer": "KeepLearning",
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        {
            "id": 73015,
            "title": "AI Center Seminar - AI for Society series - Dr. Alexandra Olteanu - \"(Un)rigorous AI\"",
            "slug": "ai-center-seminar-ai-for-society-series-dr-alexa-2",
            "event_url": "https://memento.epfl.ch/event/ai-center-seminar-ai-for-society-series-dr-alexa-2",
            "visual_url": "https://memento.epfl.ch/image/34207/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-11-19",
            "end_date": "2026-11-19",
            "start_time": "13:30:00",
            "end_time": "14:30:00",
            "description": "<p>The talk is jointly organized by the <a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> and the <a href=\"http://thecoalalab.com/\" target=\"_blank\">CoALA Lab</a> as part of the AI for Society seminar series.<br>\r\n<br>\r\n<strong><em>Hosting Professor: Prof. Ken Holstein</em></strong><br>\r\n<br>\r\n<strong>Title</strong><br>\r\n(Un)rigorous AI<br>\r\n<br>\r\n<strong>Abstract</strong><br>\r\nBeliefs and assumptions about what AI systems can, will, or should do abound. Although often unsupported and sometimes highly questionable, these beliefs and assumptions have had a formative impact on how AI systems are built, evaluated and described. This in turn impacts how and in what settings these systems are deployed and used, and thus when they fail. However, foreseeing and addressing the consequences of putting insufficiently rigorous AI artifacts (e.g., models, systems, applications, outputs, data) into practice are often seen as the purview of responsible AI—which is generally seen as separate from rigor, as it is understood as more concerned with ethics, stakeholders, societal impacts and harms, and real-world deployment scenarios. I argue that what responsible AI asks researchers and practitioners is <em>to uphold principles of scientific integrity in their work</em>. Although responsible AI is often seen as out of scope for an AI researcher or practitioner not engaged in that space, any scientist and practitioner should see<em> rigor</em> as well within scope. In this talk, my goal is to provide a useful framework for broadening our collective understanding of what rigorous AI research and practice should entail and, in doing so, to help scaffold much-needed dialogue about and scrutiny of current AI system development and evaluation practices.<br>\r\n<br>\r\n<strong>Bio</strong><br>\r\nAlexandra Olteanu is a Responsible AI researcher. Until recently she was a principal researcher at Microsoft Research Montreal, part of the Fairness, Accountability, Transparency, and Ethics (FATE) Montreal team; which she was a founding member of and later rebuilt. She is also an associate industry member at Mila. Her work routinely unpacks and challenges practices and assumptions made when designing, evaluating, deploying or communicating about AI systems. Her most recent work focuses on 1) rigor in AI (with a focus on conceptual clarity, measurement, and evaluation), and 2) human agency (with a focus on anthropomorphic AI systems’ design, behavior, and impact). Before joining Microsoft Research, Alexandra was a Social Good Fellow at IBM's T.J. Watson Research Center. Alexandra has co-organized tutorials/workshops and has served as PC/SPC/AC and in many other service roles for most major web, social media, and responsible AI conferences. She has also served as the inaugural co-chair of the Fairness, Accountability, Transparency and Ethics on the Web track @ The 2023 Web Conference, and as the 2024 Program Co-chair for the ACM Conference on Fairness, Accountability, and Transparency. Alexandra holds a PhD from École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.</p>",
            "image_description": "",
            "creation_date": "2026-10-30T09:20:36",
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            "speaker": "Dr. Alexandra Olteanu",
            "organizer": "<a href=\"https://ai.epfl.ch/\">EPFL AI Center</a> &amp; <a href=\"http://thecoalalab.com/\" target=\"_blank\">CoALA Lab</a> ",
            "contact": "Nicolas Machado",
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        {
            "id": 73078,
            "title": "Inverse Methods for State and Physical Property Estimation of Non-Cooperative Space Objects",
            "slug": "inverse-methods-for-state-and-physical-property-es",
            "event_url": "https://memento.epfl.ch/event/inverse-methods-for-state-and-physical-property-es",
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            "lang": "en",
            "start_date": "2026-11-26",
            "end_date": "2026-11-26",
            "start_time": "13:30:00",
            "end_time": "15:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Pascal Frossard<br>\r\nThesis advisor: Prof. Mathieu Salzmann<br>\r\nThesis co-advisor: Dr. Andrew Lawrence Price<br>\r\nCo-examiner: Prof. Jean-Paul Kneib<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nThe rapid proliferation of satellites and orbital debris is making Earth's orbital environment increasingly congested, raising the risk of collisions and threatening the long-term sustainability of space operations. Mitigating these risks requires accurate knowledge of the objects in orbit, including not only their trajectories but also their rotational dynamics, geometry, and physical properties. While direct inspection in space could provide some of this information, inspection missions are costly and difficult to scale to the growing orbital population. Ground-based optical observations, such as telescope images and light curves, offer a comparatively accessible and cost-effective means of monitoring these objects. However, many satellites and debris objects are non-cooperative, providing no telemetry or prior knowledge of their physical characteristics, making the recovery of such information from optical measurements particularly challenging.<br>\r\n<br>\r\nThese observations result from complex interactions between the object's physical properties and motion, illumination conditions, atmospheric effects, and the observing instrument. Accurately modeling how these factors produce the measured signal, known as the forward problem, is already challenging. Recovering the unknown state and physical properties from the observations, the inverse problem, is considerably more difficult. Measurements are often sparse, noisy, and incomplete, while different combinations of parameters can produce nearly identical observations, making the problem ambiguous and potentially ill-posed.<br>\r\n<br>\r\nThis research aims to develop efficient and robust algorithms for estimating the states and physical properties of non-cooperative space objects from optical observations. By combining physics-based models with numerical optimization, probabilistic inference, and learning-based methods, the objective is to recover information that is difficult to obtain using conventional approaches. Particular attention will be given to exploiting physical constraints, quantifying uncertainty, improving computational efficiency, and bridging the gap between simulated and real observations.<br>\r\n<br>\r\nUltimately, this research seeks to enable a more complete understanding of spacecraft and orbital debris from limited observations, supporting safer and more sustainable operations in Earth's orbit.<br>\r\n<br>\r\n<u>Background papers</u><br>\r\n \r\n<ul>\r\n\t<li>Burton, A., Robinson, L., &amp; Frueh, C. (2024). Light curve attitude estimation using particle swarm optimizers. Advances in Space Research, 74(11), 5619–5638.</li>\r\n</ul>\r\n     <a href=\"https://www.sciencedirect.com/science/article/pii/S0273117724009281\" title=\"https://www.sciencedirect.com/science/article/pii/S0273117724009281\">https://www.sciencedirect.com/science/article/pii/S0273117724009281</a><br>\r\n \r\n<ul>\r\n\t<li>Radev, S. T., Mertens, U. K., Voss, A., Ardizzone, L., &amp; Köthe, U. (2022). BayesFlow: Learning complex stochastic models with invertible neural networks. IEEE Transactions on Neural Networks and Learning Systems, 33(4), 1452–1466.</li>\r\n</ul>\r\n       <a href=\"https://arxiv.org/abs/2003.06281\" title=\"https://arxiv.org/abs/2003.06281\">https://arxiv.org/abs/2003.06281</a><br>\r\n \r\n<ul>\r\n\t<li>Liu, Y., Sun, Z., Zhang, L., Xi, L., Dong, W., &amp; Deng, F. (2025). Spacecraft-NeRF: High-Fidelity Reconstruction of Spacecraft by Neural Radiance Field Based Implicit Representation. IEEE Transactions on Aerospace and Electronic Systems, 61(6), 15182–15194.</li>\r\n</ul>\r\n       <a href=\"https://ieeexplore.ieee.org/document/11260637\" title=\"https://ieeexplore.ieee.org/document/11260637\">https://ieeexplore.ieee.org/document/11260637</a><br>\r\n ",
            "image_description": "",
            "creation_date": "2026-11-03T14:25:11",
            "last_modification_date": "2026-11-06T15:35:58",
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            "cancel_reason": "",
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            "speaker": "Pierre Ancey",
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            "keywords": "EDIC candidacy exam",
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        {
            "id": 72396,
            "title": "Training \"Stay Away from Plagiarism\"",
            "slug": "training-stay-away-from-plagiarism-8",
            "event_url": "https://memento.epfl.ch/event/training-stay-away-from-plagiarism-8",
            "visual_url": "https://memento.epfl.ch/image/33647/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-12-03",
            "end_date": "2026-12-03",
            "start_time": "14:00:00",
            "end_time": "16:00:00",
            "description": "<div class=\"all_text\"><strong>The aim of this workshop, is to understand the main principles of plagiarism in order to avoid it.</strong> <strong>To do so, we first would like to help participants getting the right habits of citation by experimenting various citation cases that may be encountered during the writing process of reports or publications, including thesis. </strong><br>\r\n<br>\r\nThen, we will show you more in depth how to use the similarity detection tool <a href=\"https://www.epfl.ch/campus/library/services-researchers/similarity-check/\">iThenticate</a>.<br>\r\n<br>\r\nAt the end of the workshop, you will be able to:\r\n<ul>\r\n\t<li>Understand the stakes of citation.</li>\r\n\t<li>Cite and reuse properly different types of content.</li>\r\n\t<li>Understand what incorrect referencing is and what that can mean to you.</li>\r\n\t<li>Use iThenticate to check your text and understand how to read the similarity report</li>\r\n</ul>\r\n<a href=\"https://bookwhen.com/fr/epfl_library/e/ev-srfyp-20261102140000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Training offer</a><br>\r\n </div>",
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            "creation_date": "2026-08-20T10:12:00",
            "last_modification_date": "2026-11-02T15:53:33",
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            "link_url": "https://bookwhen.com/epfl_library/e/ev-swdpr-20261203140000",
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            "cancel_reason": "",
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            "speaker": "EPFL Library Training Team",
            "organizer": "EPFL Library",
            "contact": "[email protected]",
            "is_internal": "False",
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        {
            "id": 72399,
            "title": "Training \"Up to Speed with Zotero\"",
            "slug": "training-up-to-speed-with-zotero-14",
            "event_url": "https://memento.epfl.ch/event/training-up-to-speed-with-zotero-14",
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            "start_date": "2026-11-24",
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            "start_time": "14:00:00",
            "end_time": "15:30:00",
            "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/fr/epfl_library/e/ev-se08m-20261124140000\">Registration</a><br>\r\n<br>\r\nMore information about <a href=\"https://www.epfl.ch/campus/library/training/\">EPFL Library Training offer</a></div>",
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        {
            "id": 72728,
            "title": "When Control Changes the Data: Safety under Interaction-Driven Distribution Shifts",
            "slug": "when-control-changes-the-data-safety-under-interac",
            "event_url": "https://memento.epfl.ch/event/when-control-changes-the-data-safety-under-interac",
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            "start_date": "2026-11-09",
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            "description": "<strong>This seminar is co-sponsored by the <a href=\"https://ieeecss.org\">IEEE-CSS</a>.</strong><br>\r\n<br>\r\n<strong>Abstract</strong>: <br>\r\nAccelerated by rapid advances in machine learning and AI, there has been tremendous success in the design of learning-enabled autonomous systems in areas such as autonomous driving and robotics. These exciting developments are accompanied by new fundamental challenges that arise regarding the safety and reliability of these increasingly complex systems due to imperfect learning, system unknowns, and uncertain environments. Statistical tools for uncertainty quantification have gained popularity due to their ability to deal with these challenges. However, their guarantees rely on i.i.d. data, an assumption that is violated when control actions change the underlying data distribution.<br>\r\n<br>\r\nIn this talk, I will provide new insight to design safe controllers under distribution shifts using robust conformal prediction (CP). I will begin by advocating for the use of CP due to its simplicity, generality, and efficiency as opposed to existing optimization-based verification techniques. I will then provide an introduction to CP and summarize existing work that uses CP to design probabilistically safe controllers in dynamic environments. Subsequently, we will look into interactive settings where the system’s behavior may change the environment's behavior, and vice versa. This circular dependency creates an interaction-driven distribution shift that invalidates existing CP guarantees. To deal with this problem, we propose an iterative framework that episodically updates the controller while robustly maintaining safety guarantees by quantifying the potential impact of a controller update on the environment's behavior. We realize this via adversarially robust CP where we perform a regular CP step in each episode using observed data under the current controller, but then transfer safety guarantees across controller updates by analytically adjusting the CP result to account for distribution shifts. Lastly, I will show how these ideas extend to handling policy-induced distribution shifts that arise when using barrier/Lyapunov functions to control uncertain systems.<br>\r\n<br>\r\n<strong>Biography</strong>:<br>\r\nLars Lindemann is currently an Assistant Professor for Algorithmic Systems Theory in the Automatic Control Laboratory at ETH Zürich. From 2023 to 2025 he was an Assistant Professor in the Thomas Lord Department of Computer Science at the University of Southern California. Before that, he was a Postdoctoral Fellow in the Department of Electrical and Systems Engineering at the University of Pennsylvania from 2020 to 2022. He received his Ph.D. degree in Electrical Engineering from KTH Royal Institute of Technology in 2020. Professor Lindemann's research interests include systems and control theory, formal methods, machine learning, and autonomous systems. He is a recipient of a European Research Council Starting Grant and two U.S. National Science Foundation Grants. He also received the Outstanding Student Paper Award at the 58th IEEE Conference on Decision and Control and the Student Best Paper Award (as an advisor) at the 60th IEEE Conference on Decision and Control, and has been a finalist for several other best paper awards.",
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            "organizer": "<a href=\"https://people.epfl.ch/giancarlo.ferraritrecate\">Professor Giancarlo Ferrari Trecate</a>",
            "contact": "[email protected]",
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        {
            "id": 72758,
            "title": "Safe Guaranteed Exploration for Non-linear Systems",
            "slug": "safe-guaranteed-exploration-for-non-linear-systems",
            "event_url": "https://memento.epfl.ch/event/safe-guaranteed-exploration-for-non-linear-systems",
            "visual_url": "https://memento.epfl.ch/image/33973/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-12-04",
            "end_date": "2026-12-04",
            "start_time": "14:00:00",
            "end_time": "15:00:00",
            "description": "<strong>Abstract</strong>: <br>\r\nSafely exploring environments with a-priori unknown constraints is a fundamental challenge that restricts the autonomy of robots. While safety is paramount, guarantees on sufficient exploration are also crucial for ensuring autonomous task completion. To address these challenges, we propose a novel safe guaranteed exploration framework using optimal control, which achieves first-of-its-kind results: guaranteed exploration for non-linear systems with finite time sample complexity bounds, while being provably safe with arbitrarily high probability. The framework is general and applicable to many real-world scenarios with complex non-linear dynamics and unknown domains. For efficient implementation, we exploit goal-directed exploration, and receding-horizon replanning while preserving the framework’s guarantees, and demonstrate safe, efficient exploration in challenging unknown environments using a car model.<br>\r\n<br>\r\n<strong>Biography</strong>: <br>\r\nManish Prajapat earned his Ph.D. in reinforcement learning and control from ETH Zurich in May 2026. He was a Doctoral Fellow at the ETH AI Center working with Prof. Melanie Zeilinger and Prof. Andreas Krause. Previously, he earned his master’s degree in Robotics, Systems, and Control from ETH Zurich and was a visiting scholar at Caltech. He received his bachelor’s degree from the Indian Institute of Technology (IIT) Madras in 2017. At IIT Madras, he was honored as the Best Graduating Student (Co-curricular) in 2017 and received the Sivasailam Merit Prize for the best thesis. His research interests are sequential decision-making under complex scenarios, e.g., non-Markovian objectives, unknown constraints or unknown dynamics of non-linear systems.<br>\r\n<br>\r\n ",
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            "speaker": "Dr Manish Prajapat Ph.D. reinforcement learning and control from <a href=\"https://control.ee.ethz.ch\">ETH Zurich</a>\r\n\r\n<a href=\"https://ieee.ch/chapters/control-systems-society/\">Winner of the IEEE CSS Young Author Best Journal Paper Award 2026</a>",
            "organizer": "<a href=\"https://people.epfl.ch/giancarlo.ferraritrecate\">Prof Giancarlo Ferrari Trecate</a> The seminar is sponsored by the Swiss chapter of the <a href=\"https://ieee.ch\">IEEE-CSS</a>",
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        {
            "id": 73022,
            "title": "Vision and Cognition Seminar // Sarit Szpiro: Perceptual learning of motion across ages",
            "slug": "vision-and-cognition-seminar-sarit-szpiro-perceptu",
            "event_url": "https://memento.epfl.ch/event/vision-and-cognition-seminar-sarit-szpiro-perceptu",
            "visual_url": "https://memento.epfl.ch/image/34214/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-11-24",
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            "description": "",
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            "creation_date": "2026-10-30T23:06:58",
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            "canceled": "False",
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            "place_and_room": "SV 2510",
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            "spoken_languages": [
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            "speaker": "<strong>Sarit Szpiro, </strong>University of Haifa, Israel",
            "organizer": "BMI LPSY  Host: Michale Herzog  ",
            "contact": "[email protected]",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
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            "id": 73023,
            "title": "Vision and Cognition Seminar // Gregory Francis: Many studies of attention are massively underpowered, and what we can do about it",
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            "start_date": "2026-12-08",
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            "description": "",
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            "creation_date": "2026-10-30T23:33:57",
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            "cancel_reason": "",
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            ],
            "speaker": "<strong>Gregory Francis, </strong>Derpartment of Psychology, University of Southern Denmark, Denmark",
            "organizer": "BMI LPSY  Host: Michale Herzog  ",
            "contact": "[email protected]",
            "is_internal": "False",
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