retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=20&ordering=-slug
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 71486,
            "title": "Topological Data Analysis for Gait Pattern Classification",
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            "start_date": "2026-04-23",
            "end_date": "2026-04-23",
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            "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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            "speaker": "Elena Botti, Vrije Universiteit Brussel (VUB)",
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            "id": 70950,
            "title": "Theoretical Realisation of Quantum Phenomena In Computational Materials Discovery",
            "slug": "theoretical-realisation-of-quantum-phenomena-in--2",
            "event_url": "https://memento.epfl.ch/event/theoretical-realisation-of-quantum-phenomena-in--2",
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            "start_date": "2026-06-22",
            "end_date": "2026-06-24",
            "start_time": null,
            "end_time": null,
            "description": "<p>You can apply to participate and find all the relevant information (speakers, abstracts, program,...) on the event website: <a href=\"https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485\">https://www.cecam.org/workshop-details/theoretical-realisation-of-quantum-phenomena-in-computational-materials-discovery-1485</a>.<br>\r\n<br>\r\nRegistration is required to attend the full event, take part in the social activities and present a poster at the poster session (if any).  However, the EPFL community is welcome to attend specific lectures without registration if the topic is of interest to their research. Do not hesitate to contact the <a href=\"mailto:[email protected]\">CECAM Event Manager</a> if you have any question.<br>\r\n<br>\r\n<strong>Description</strong><br>\r\n<br>\r\nQuantum phenomena in materials underpin a range of emerging technologies, including spin-based quantum technologies, efficient energy transport materials and ultra-narrow bandwidth lasers.<sup>1,2,3</sup> Emergent behaviour such as quantum magnetism, superconductivity and superradiance<sup>4</sup> arise from the complex interplay between electronic and structural properties; electronic features including strong electron correlation, spin-orbit coupling and reduced dimensionality can lead to phenomena such as unconventional superconductivity and room-temperature spin coherences, whilst structural factors such as crystal symmetry, doping concentrations and Moiré twist patterns are pivotal in shaping these quantum characteristics.<sup>5,6</sup> Computational quantum materials discovery requires both highly advanced theoretical models of the electronic structure and high-throughput approaches for identifying stable crystal structures and predicting their properties.<sup>3,7</sup><br>\r\nStrongly correlated electrons, ubiquitous in quantum materials, challenge conventional density functional theory (DFT). Quantum embedding methods, such as Density Matrix Embedding Theory (DMET) and Quantum Defect Embedding Theory (QDET), are powerful tools for describing strongly correlated electronic states in materials. QDET solves an effective Hamiltonian for a strongly-correlated subset of DFT orbitals using full configuration interaction, parameterized via a Green's function approach.<sup>8</sup> DMET, however, maps the solid-state problem onto a self-consistent quantum impurity coupled to a mean-field bath, with the impurity solved by high-level methods.<sup>9</sup> The application of these advanced techniques is rapidly growing, from analysing superconducting cuprates to describing quantum spin defects in semiconductors.<sup>8,9</sup><br>\r\nModel Hamiltonians, such as the multi-band Hubbard model, are increasingly used to describe the low-energy physics of quantum materials.<sup>10</sup> While the constrained random phase approximation is the traditional choice for parametrising these models,<sup>11</sup> the newly developed moment-conserved RPA may offer superior accuracy by conserving instantaneous two-point correlation functions.<sup>12,13</sup> Powerful numerical techniques like Determinant Quantum Monte Carlo have recently been pioneered for solving the model Hamiltonian and predicting quantum phenomena such as pairing susceptibilities.<sup>14</sup><br>\r\nSuch theoretical methods are also essential for computational discovery of spin defects in semiconductors, a promising platform for room-temperature qubits.<sup>3,15</sup> Advanced theoretical treatments are essential to predict defect electronic, magnetic, and optical properties, incorporating effects like spin-orbit and spin-phonon coupling which determine spin coherence and optical manipulation characteristics. The current state-of-the-art combines DFT studies of semiconductor bulk properties with ab initio treatments of the defect; quantum embedding methods are emerging as a promising alternative.<sup>16,17</sup><br>\r\nGiven the immense diversity of materials, high-throughput screening is a cornerstone of modern materials discovery. DFT, particularly with state-of-the-art approximations like r2SCAN+rVV10, remains the workhorse for reliably determining material structures; such calculations often offer critical insight into both a systems stability and electronic structure.<sup>7,18,19,20</sup> Machine learning (ML) is transforming materials discovery by slashing the computational cost of such calculations, allowing a wider exploration of composition space.<sup>21,22</sup><br>\r\nComputational quantum materials modelling is advancing rapidly, however reconciling methods treating strongly correlated electrons with computational workflows employed in modern materials discovery remains relatively unexploited. The synergy of advanced theory, high-performance computing and ML has the potential to drive breakthroughs in quantum materials discovery and accelerate development of emerging technologies, from novel qubit platforms to room-temperature superconductors.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://doi.org/10.1103/physrevlett.132.076401\" target=\"_blank\">[1] C. Scott, G. Booth, Phys. Rev. Lett., <strong>132</strong>, 076401 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01554-0\" target=\"_blank\">[2] X. Jiang, W. Wang, S. Tian, H. Wang, T. Lookman, Y. Su, npj. Comput. Mater., <strong>11</strong>, 79 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1016/j.triboint.2024.110438\" target=\"_blank\">[3] S. Giaremis, M. Righi, Tribology International, <strong>204</strong>, 110438 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01437-w\" target=\"_blank\">[4] Z. Zhu, J. Park, H. Sahasrabuddhe, A. Ganose, R. Chang, J. Lawson, A. Jain, npj. Comput. Mater., <strong>10</strong>, 258 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1002/jcc.26353\" target=\"_blank\">[5] R. Nelson, C. Ertural, J. George, V. Deringer, G. Hautier, R. Dronskowski, J. Comput. Chem., <strong>41</strong>, 1931-1940 (2020)</a><br>\r\n<a href=\"https://doi.org/10.1021/acsmaterialsau.2c00059\" target=\"_blank\">[6] M. Kothakonda, A. Kaplan, E. Isaacs, C. Bartel, J. Furness, J. Ning, C. Wolverton, J. Perdew, J. Sun, ACS Mater. Au, <strong>3</strong>, 102-111 (2022)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-025-01547-z\" target=\"_blank\">[7] V. Briganti, A. Lunghi, npj. Comput. Mater., <strong>11</strong>, 62 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00355\" target=\"_blank\">[8] A. Kundu, F. Martinelli, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 1973-1979 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1557/s43577-023-00659-5\" target=\"_blank\">[9] A. Gali, A. Schleife, A. Heinrich, A. Laucht, B. Schuler, C. Chakraborty, C. Anderson, C. Déprez, J. McCallum, L. Bassett, M. Friesen, M. Flatté, P. Maurer, S. Coppersmith, T. Zhong, V. Begum-Hudde, Y. Ping, MRS Bulletin, <strong>49</strong>, 256-276 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1073/pnas.2408717121\" target=\"_blank\">[10] P. Mai, B. Cohen-Stead, T. Maier, S. Johnston, Proc. Natl. Acad. Sci. U.S.A., <strong>121</strong>, (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevb.108.064511\" target=\"_blank\">[11] C. Pellegrini, C. Kukkonen, A. Sanna, Phys. Rev. B, <strong>108</strong>, 064511 (2023)</a><br>\r\n<a href=\"https://doi.org/10.1186/s40712-024-00202-7\" target=\"_blank\">[12] R. Goyal, S. Maharaj, P. Kumar, M. Chandrasekhar, J Mater. Sci: Mater Eng., <strong>20</strong>, 4 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41524-024-01314-6\" target=\"_blank\">[13] Y. Chang, E. van Loon, B. Eskridge, B. Busemeyer, M. Morales, C. Dreyer, A. Millis, S. Zhang, T. Wehling, L. Wagner, M. Rösner, npj. Comput. Mater., <strong>10</strong>, 129 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1103/physrevx.15.021049\" target=\"_blank\">[14] H. Padma, J. Thomas, S. TenHuisen, W. He, Z. Guan, J. Li, B. Lee, Y. Wang, S. Lee, Z. Mao, H. Jang, V. Bisogni, J. Pelliciari, M. Dean, S. Johnston, M. Mitrano, Phys. Rev. X, <strong>15</strong>, 021049 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41467-025-56883-x\" target=\"_blank\">[15] Z. Cui, J. Yang, J. Tölle, H. Ye, S. Yuan, H. Zhai, G. Park, R. Kim, X. Zhang, L. Lin, T. Berkelbach, G. Chan, Nat. Commun., <strong>16</strong>, 1845 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1021/acs.jpclett.5c00287\" target=\"_blank\">[16] L. Otis, Y. Jin, V. Yu, S. Chen, L. Gagliardi, G. Galli, J. Phys. Chem. Lett., <strong>16</strong>, 3092-3099 (2025)</a><br>\r\n<a href=\"https://doi.org/10.1039/d5dd00019j\" target=\"_blank\">[17] A. Ganose, H. Sahasrabuddhe, M. Asta, K. Beck, T. Biswas, A. Bonkowski, J. Bustamante, X. Chen, Y. Chiang, D. Chrzan, J. Clary, O. Cohen, C. Ertural, M. Gallant, J. George, S. Gerits, R. Goodall, R. Guha, G. Hautier, M. Horton, T. Inizan, A. Kaplan, R. Kingsbury, M. Kuner, B. Li, X. Linn, M. McDermott, R. Mohanakrishnan, A. Naik, J. Neaton, S. Parmar, K. Persson, G. Petretto, T. Purcell, F. Ricci, B. Rich, J. Riebesell, G. Rignanese, A. Rosen, M. Scheffler, J. Schmidt, J. Shen, A. Sobolev, R. Sundararaman, C. Tezak, V. Trinquet, J. Varley, D. Vigil-Fowler, D. Wang, D. Waroquiers, M. Wen, H. Yang, H. Zheng, J. Zheng, Z. Zhu, A. Jain, Digital Discovery, (2025)</a><br>\r\n<a href=\"https://doi.org/10.1002/adma.202106909\" target=\"_blank\">[18] W. Ko, Z. Gai, A. Puretzky, L. Liang, T. Berlijn, J. Hachtel, K. Xiao, P. Ganesh, M. Yoon, A. Li, Advanced Materials, <strong>35</strong>, (2022)</a><br>\r\n<a href=\"https://doi.org/10.1126/science.adg0014\" target=\"_blank\">[19] L. Du, M. Molas, Z. Huang, G. Zhang, F. Wang, Z. Sun, Science, <strong>379</strong>, (2023)</a><br>\r\n<a href=\"https://doi.org/10.1038/s41586-023-07001-8\" target=\"_blank\">[20] C. Zhu, S. Boehme, L. Feld, A. Moskalenko, D. Dirin, R. Mahrt, T. Stöferle, M. Bodnarchuk, A. Efros, P. Sercel, M. Kovalenko, G. Rainò, Nature, <strong>626</strong>, 535-541 (2024)</a><br>\r\n<a href=\"https://doi.org/10.1515/nanoph-2022-0723\" target=\"_blank\">[21] Á. Gali, Nanophotonics, <strong>12</strong>, 359-397 (2023)</a><br>\r\n<a href=\"https://doi.org/10.3389/fmats.2024.1343005\" target=\"_blank\">[22] V. Harris, P. Andalib, Front. Mater., <strong>11</strong>, (2024)</a></p>",
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            "description": "<p>From digital puzzles to space simulations, play has become a major arena for creation, innovation, and reflection. Through a curated selection of video games, history books, essays, and academic research, the Library invites you to discover the many dimensions of games and gaming culture. Borrow the documents and keep the experience going at home!</p>",
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            "id": 70040,
            "title": "“The end of KRAS cancers?”",
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            "description": "<strong>A Lola and John Grace Distinguished Lecture in Cancer Research</strong>\r\n<div class=\"elementor-element elementor-element-98cefd8 elementor-widget elementor-widget-heading\">\r\n<div class=\"elementor-widget-container\"><br>\r\nFrank McCormick, PhD, is a Professor at the UCSF Helen Diller Family Comprehensive Cancer Center and holds the David A. Wood Chair of Tumor Biology and Cancer Research. Prior to joining the UCSF faculty, Dr. McCormick pursued cancer-related work with several Bay Area biotechnology firms and held positions with Cetus Corporation (Director of Molecular Biology, 1981-1990; Vice President of Research, 1990-1991) and Chiron Corporation, where he was Vice President of Research. In 1992 he founded Onyx Pharmaceuticals, a company dedicated to developing new cancer therapies, and served as its Chief Scientific Officer until 1996. At Onyx Pharmaceuticals, he initiated drug discovery efforts that led to the approval of Sorafenib in 2005 for treatment of renal cell cancer, and for liver cancer in 2007, and the approval of ONYX-015 in 2006 in China for treatment of nasopharyngeal cancer. In addition, Dr. McCormick’s group led to the identification of the CDK4 kinase inhibitor, Palbociclib, approved for treating advanced breast cancer. Dr. McCormick's current research interests center on ways of targeting Ras proteins and their regulators, including the NF1 protein neurofibromin.<br>\r\n<br>\r\nDr. McCormick was Director of the Helen Diller Family Comprehensive Cancer Center from 1997 to 2014 and he served as President, 2012-2013, for the American Association for Cancer Research. Since 2013, Dr. McCormick has led the National Cancer Institute’s Ras Initiative at the Frederick National Laboratories for Cancer Research overseeing the national effort to develop therapies against Ras-driven cancers. Dr. McCormick was recently awarded (September 2025) the Inaugural Stephenson Global Prize Award in recognition of his research and discoveries that have transformed the field of RAS-driven cancers. <br>\r\n<br>\r\nDr. McCormick is the author of over 430 scientific publications and holds more than 20 issued patents and is a Fellow of the Royal Society and a member of the National Academy of Sciences.<br>\r\n </div>\r\n</div>\r\n\r\n<div class=\"elementor-element elementor-element-e552a16 elementor-widget elementor-widget-text-editor\">\r\n<div class=\"elementor-widget-container\"> </div>\r\n</div>",
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            "speaker": "<strong><em>Frank McCormick, PhD, FRS, DSc (Hon), </em></strong>UCSF Helen Diller Family Comprehensive Cancer Center and David A. Wood Chair of Tumor Biology and Cancer Research",
            "organizer": "Prof. Doug Hanahan",
            "contact": "Lisa Smith, ISREC Administrative Assistant",
            "is_internal": "True",
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                "id": 3,
                "fr_label": "Entrée libre",
                "en_label": "Free"
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            "keywords": "Grace Lecture, cancer",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/118018/",
            "category": {
                "id": 1,
                "code": "CONF",
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        {
            "id": 58413,
            "title": "[ The Cogito Foundation | “Public understanding of Science” ]",
            "slug": "the-cogito-foundation-public-understanding-of-sc-4",
            "event_url": "https://memento.epfl.ch/event/the-cogito-foundation-public-understanding-of-sc-4",
            "visual_url": "https://memento.epfl.ch/image/20731/200x112.jpg",
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            "start_date": "2026-05-01",
            "end_date": "2026-05-01",
            "start_time": null,
            "end_time": null,
            "description": "<p>The Foundation <strong>offers funding for projects, congresses and events</strong> that aim to increase the public understanding of science and scientific thinking <strong>in Switzerland.</strong><br>\r\n<br>\r\n<br>\r\n<strong>Restriction</strong> : The Foundation <strong>does not grant additional costs</strong> for projects already funded by <strong>SNSF, ERC or similar agencies</strong>, and <strong>does not cover institutional overheads</strong>; <strong>infrastructure must be provided by the applicant</strong>.<br>\r\n<br>\r\n \r\n</p><ol>\r\n\t<li>PUBLIC UNDERSTANDING OF SCIENCE</li>\r\n</ol>\r\n\r\n<ul>\r\n\t<li><u>For what</u>:  Activities and projects <strong>in Switzerland</strong> that strengthen the public understanding of scientific thinking. (Overheads are <strong>not</strong> covered.)</li>\r\n\t<li><u>How much</u>: Grants are typically <strong>around CHF 10,000 or CHF 50,000</strong>, and <strong>rarely exceed CHF 100,000</strong>.</li>\r\n</ul>\r\n \r\n\r\n<ol start=\"2\">\r\n\t<li>CONGRESSES</li>\r\n</ol>\r\n\r\n<ul>\r\n\t<li><u>For what</u>: <strong>Congresses and events that increase the public understanding of science and scientific thinking in Switzerland</strong></li>\r\n\t<li><u>How much</u>: Typically <strong>around CHF 10,000 or CHF 50,000</strong>; <strong>rarely above CHF 100,000</strong>.</li>\r\n</ul>\r\n<br>\r\n<strong>DEADLINES</strong>: <strong>1 May</strong> and <strong>1 October</strong> (every year) at 1 p.m. CET.<br>\r\nDecisions: end of June and beginning of November.<br>\r\n<br>\r\n<strong>Application</strong>: Submit your application in English or German, as a single PDF-document, to <a href=\"mailto:[email protected]\">[email protected]</a>. <strong>Guidelines </strong>for applicants are available at this <a href=\"https://www.cogitofoundation.ch/en/guidelines-submission-proposals\">link</a>.<br>\r\n<br>\r\n<strong>Selection process</strong>:\r\n\r\n<ul>\r\n\t<li>ELIGIBILITY CHECK: the executive committee of the Foundation Council checks if the application is in line with the goals of the Foundation and <u>immediately</u> informs the applicant if this is not the case.</li>\r\n\t<li>EVALUATION: proposals passing the eligibility check are submitted to the <a href=\"https://www.cogitofoundation.ch/en/council\">Foundation Council</a>.<br>\r\n\t </li>\r\n</ul>\r\n<strong>For further information</strong>, please have a look at the <a href=\"https://www.cogitofoundation.ch/en/home\">foundation website</a>.<br>\r\n ",
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            "last_modification_date": "2026-03-23T10:26:29",
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            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "",
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            "contact": "<a href=\"mailto:[email protected]?subject=%5B%20The%20Cogito%20Foundation%20%7C%20%E2%80%9CPublic%20understanding%20of%20Science%E2%80%9D%20%5D\">Research Office</a>",
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                "fr_label": "Entrée libre",
                "en_label": "Free"
            },
            "keywords": "research funding",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/100832/",
            "category": {
                "id": 16,
                "code": "PROP",
                "fr_label": "Appel à proposition",
                "en_label": "Call for proposal",
                "activated": true
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            "academic_calendar_category": null,
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        {
            "id": 71270,
            "title": "TBA",
            "slug": "tba-136",
            "event_url": "https://memento.epfl.ch/event/tba-136",
            "visual_url": "https://memento.epfl.ch/image/32626/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-04-17",
            "end_date": "2026-04-17",
            "start_time": "15:15:00",
            "end_time": "16:15:00",
            "description": "<p>TBA</p>",
            "image_description": "",
            "creation_date": "2026-03-02T09:46:57",
            "last_modification_date": "2026-03-02T09:50:51",
            "link_label": "",
            "link_url": "https://www.epfl.ch/schools/sb/research/math/statistics-seminars/",
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            "speaker": "Sam Allen, KIT",
            "organizer": "Rajita Chandak",
            "contact": "Maroussia Schaffner",
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        {
            "id": 71283,
            "title": "TBA",
            "slug": "tba-128",
            "event_url": "https://memento.epfl.ch/event/tba-128",
            "visual_url": "https://memento.epfl.ch/image/32638/200x112.jpg",
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            "start_date": "2026-04-22",
            "end_date": "2026-04-22",
            "start_time": "14:15:00",
            "end_time": "15:15:00",
            "description": "<p>TBA<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-03-03T09:23:22",
            "last_modification_date": "2026-03-25T12:25:59",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "MA B1 504",
            "url_place_and_room": "https://plan.epfl.ch/?room==MA%20B1%20504",
            "url_online_room": "",
            "spoken_languages": [
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            ],
            "speaker": "Annika Thiele, Humboldt-Universität zu Berlin",
            "organizer": "Markus Kirolos",
            "contact": "Maroussia Schaffner",
            "is_internal": "False",
            "theme": "",
            "vulgarization": {
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                "fr_label": "Public averti",
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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/119948/",
            "category": {
                "id": 1,
                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
                "en_label": "Conferences - Seminars",
                "activated": true
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            "academic_calendar_category": null,
            "domains": [],
            "mementos": [
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                "https://memento.epfl.ch/api/v1/mementos/7/?format=api",
                "https://memento.epfl.ch/api/v1/mementos/6/?format=api"
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        },
        {
            "id": 70651,
            "title": "Talent Pitch Switzerland 2026",
            "slug": "talent-pitch-switzerland-2026",
            "event_url": "https://memento.epfl.ch/event/talent-pitch-switzerland-2026",
            "visual_url": "https://memento.epfl.ch/image/32077/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-05-06",
            "end_date": "2026-05-06",
            "start_time": "18:00:00",
            "end_time": "22:30:00",
            "description": "<p>Talent Pitch is a pitching contest that will take place for the fourth time on May 6, 2026, at the Volkshaus in Zurich. Our partner universities will send their top start-ups to the event, with all founding teams currently studying at their respective institutions. Both the audience and the jury will have the opportunity to decide which start-up emerges as the winner. <br>\r\n<br>\r\n<a href=\"https://talent-pitch.org/\">more info here</a></p>",
            "image_description": "",
            "creation_date": "2025-12-10T12:02:25",
            "last_modification_date": "2026-03-17T16:34:05",
            "link_label": "Website",
            "link_url": "https://talent-pitch.org/",
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            "url_place_and_room": "",
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            "spoken_languages": [
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            "speaker": "",
            "organizer": "",
            "contact": "<a href=\"mailto:[email protected]\">Noah Bellwald</a>",
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            "theme": "",
            "vulgarization": {
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                "en_label": "General public"
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            "registration": {
                "id": 1,
                "fr_label": "Sur inscription",
                "en_label": "Registration required"
            },
            "keywords": "Conference / Pitch",
            "file": null,
            "icalendar_url": "https://memento.epfl.ch/event/export/118968/",
            "category": {
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                "code": "CONF",
                "fr_label": "Conférences - Séminaires",
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        {
            "id": 65721,
            "title": "Synapsis Foundation | Research funding on dementia research",
            "slug": "synapsis-foundation-research-funding-on-dementia-3",
            "event_url": "https://memento.epfl.ch/event/synapsis-foundation-research-funding-on-dementia-3",
            "visual_url": "https://memento.epfl.ch/image/27518/200x112.jpg",
            "visual_large_url": "https://memento.epfl.ch/image/27518/720x405.jpg",
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            "lang": "en",
            "start_date": "2026-04-08",
            "end_date": "2026-04-08",
            "start_time": null,
            "end_time": null,
            "description": "<strong><a href=\"https://www.demenz-forschung.ch/en/for-researchers/?_sc=NDUxMjUzNSMxMDc5Nw%3D%3D&amp;utm_campaign=Call+for+Proposal+2026&amp;utm_medium=email&amp;utm_source=brevo\">Synapsis Foundation </a></strong>supports innovative research projects on Alzheimer’s disease and related neurodegenerative disorders. The call 2026 call for proposals of the synapsis foundation has now been published for <strong>four funding programmes</strong>: <strong>Career Development Award</strong> (for Advanced PostDocs)<strong>, Research Grant for Principal Investigators, Pilot and Consolidator Grants.</strong>\r\n<div> <br>\r\n<strong>Basic, Translational and Clinical Research:</strong><br>\r\n<br>\r\n<a href=\"https://www.demenz-forschung.ch/media/cfp2026_callpapers_pi.pdf\"><strong>Principal Investigator Grants</strong></a>:<br>\r\n<br>\r\nFueling innovative projects led by established research teams. Funded projects are supported with <strong>up to CHF 300’000 for up to 3 years</strong>.<br>\r\n<br>\r\n<strong>Eligiblity: </strong>Principal investigators working at Swiss universities or non-commercial research institutions.w<strong>ho have not received funding from the Synapsis Foundation for at least one year at the time of submission</strong>, are eligible to apply. Project proposals that have been previously rejected by the Foundation may be resubmitted once, accompanied by an explanation of the changes made to the original application.<br>\r\n<br>\r\n<a href=\"https://www.demenz-forschung.ch/media/cfp2026_callpapers_cda.pdf\"><strong>Career Development Awards</strong>:</a><br>\r\n<br>\r\nEmpowering advanced postdoctoral researchers at Swiss universities and research institutions to establish themselves as independent investigators in neurodegenerative disease research. Funding is a <strong>maximum of CHF 100’000 per year for up to five years </strong>(phase 1 and 2 together), pending on a successful reapplication after phase 1.<br>\r\n<br>\r\n<strong>Eligiblity:</strong> In<strong> PHASE 1 a</strong>dvanced postdoctoral scientists conducting research in a host laboratory at a public research facility in Switzerland are supported for up to three years. Researchers who have worked 3 - 5 years as postdoctoral researchers at the time of application are eligible to apply. The awardees must submit annual progress reports and a final report. To apply for <strong>PHASE 2 </strong>of the fellowship, applicants must submit a progress report, research plan and a career plan at least 3 months before the completion of phase 1. Applicants qualifying for phase 2 of the award will be invited for an interview with members of the Scientific Advisory Board of the Foundation.<br>\r\n<br>\r\n<strong><a href=\"https://www.demenz-forschung.ch/media/cfp2026_callpapers_hsr.pdf\">Research Grant Competition 2026:</a></strong><br>\r\n<br>\r\nThis call invites applications for projects aimed at developing and/or validating digital and non-pharmacological approaches for the prevention and diagnosis of dementia, as well as for the care of people living with dementia. <strong>The topics covered in this call include:</strong>\r\n<ul>\r\n\t<li>Prevention strategies to reduce the risk of dementia, delay its onset, or slow disease progression</li>\r\n\t<li>Innovative digital approaches to advance timely and accurate diagnosis of neurodegenerative diseases</li>\r\n\t<li>Non-pharmacological interventions aimed at enhancing the treatment, support, and overall quality of care for individuals living with dementia</li>\r\n</ul>\r\nTwo different funding opportunities are offered:\r\n\r\n<ul>\r\n\t<li><strong>Pilot Grants</strong> of maximum CHF 100’000 for one year</li>\r\n\t<li><strong>Consolidator Grants</strong> of maximum CHF 250’000 for up to three years</li>\r\n</ul>\r\nResearchers working at Swiss universities or non-commercial research institutions, who h<strong>ave not received funding from the Synapsis Foundation for at least one year at the time of submission</strong>, are eligible to apply. <strong>Each applicant can only submit one application in response to the 2026 call for proposals. </strong>Project proposals that have been previously rejected by the Foundation may be resubmitted once, accompanied by an explanation of the changes made to the original application<br>\r\n<br>\r\n<strong>SUBMISSION:</strong> A <strong>two-step submission process must be followed</strong>, with<strong> a Letter of Intent to be submitted before 8 April 2026 at 11:59 pm</strong>. For more details, please refer to the guidelines for each programme.<br>\r\n<br>\r\n<strong>Timeline</strong>:\r\n\r\n<ul>\r\n\t<li><strong>8 April 2026: Submission deadline for letter of intent</strong></li>\r\n\t<li>12 May 2026: Invitation to submit a full proposal for the best-rated project outlines</li>\r\n\t<li>18 May 2026: Rejection letters sent to unsuccessful applicants</li>\r\n\t<li><strong>5 July 2026: Submission deadline for full proposal</strong></li>\r\n\t<li>30 November 2026: Funding recommendation by the Scientific Advisory Board</li>\r\n\t<li>10 December 2026: Funding decision by the Board of Trustees</li>\r\n\t<li>Mid December 2026: Communication to applicants regarding funding/rejection</li>\r\n\t<li>January to March 2027: preparation and signing of the grant agreements</li>\r\n</ul>\r\nThe application dossier, including the template for the Letter of Intent, is available on the <a href=\"https://www.demenz-forschung.ch/en/for-researchers/?_sc=NDUxMjUzNSMxMDc5Nw%3D%3D&amp;utm_campaign=Call+for+Proposal+2026&amp;utm_medium=email&amp;utm_source=brevo\">call’s website</a>. For more information, please refer to the call guidelines or contact the EPFL Research Office at <a data-end=\"288\" data-start=\"272\" rel=\"noopener\">[email protected].</a><br>\r\n </div>\r\n \r\n\r\n<div> <br>\r\n </div>",
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            "contact": "<a href=\"mailto:[email protected]\">Research Office</a>",
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                "en_label": "Free"
            },
            "keywords": "dementia alzheimer neurosciences",
            "file": null,
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                "code": "PROP",
                "fr_label": "Appel à proposition",
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        {
            "id": 71200,
            "title": "Swiss  Final of the Competition Ma thèse en 180 secondes (MT180)",
            "slug": "swiss-final-of-the-competition-ma-these-en-180-sec",
            "event_url": "https://memento.epfl.ch/event/swiss-final-of-the-competition-ma-these-en-180-sec",
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            "start_date": "2026-05-21",
            "end_date": "2026-05-21",
            "start_time": "18:30:00",
            "end_time": "20:00:00",
            "description": "<p>The Swiss French Final of the competition \"Ma thèse en 180 secondes (MT180)\" will take place this year at EPFL with 12 to 14 PhD students from Higher Education Institutions, among which three from EPFL. Their challenge ? Present their research in just 3 minutes to a non-specialist audience, in French, effectively and in an engaging way, all with just a single slide !<br>\r\n<br>\r\nThe winners of the EPFL Final <strong>Ali Mehdi Gadiri, Camille Lambert and Antoni Gralak </strong>will be present at the event. Save the date of 21 May and come to cheer on them !<br>\r\n<br>\r\nThe name of all Finalists and their Thesis will be known after the local Finals; you can find the dates on the website <a href=\"https://mt180.ch\">mt180.ch</a>.<br>\r\n<br>\r\n </p>",
            "image_description": "",
            "creation_date": "2026-02-20T15:43:50",
            "last_modification_date": "2026-03-24T15:35:27",
            "link_label": "Finale suisse MT180",
            "link_url": "https://mt180.ch",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "EPFL Lausanne, Forum Rolex",
            "url_place_and_room": "https://plan.epfl.ch/?room==RLC%20E1%20240",
            "url_online_room": "",
            "spoken_languages": [
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