retrieve:
Return the details about the given Memento id.

list:
List all Memento objects.

GET /api/v1/mementos/6/events/?format=api&offset=30
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "id": 70900,
            "title": "FAIR Data Management of Theoretical Spectroscopy and Green’s Function Methods",
            "slug": "fair-data-management-of-theoretical-spectroscopy-a",
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            "start_date": "2026-04-20",
            "end_date": "2026-04-24",
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            "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/fair-data-management-of-theoretical-spectroscopy-and-greens-function-methods-1377\">https://www.cecam.org/workshop-details/fair-data-management-of-theoretical-spectroscopy-and-greens-function-methods-1377</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\nBig-data-driven methodologies have emerged as a fundamental paradigm of science, but require an enormous amount of resources to achieve their promised impact. The FAIR (Findable, Accessible, Interoperable, and Reusable) data principles [1] ensure that scientific data can be shared and reutilized, providing an efficient route for accumulating data and taking advantage of these powerful techniques. FAIR data management allows essential knowledge to be systematically extracted from data, accelerating discoveries and innovations across various domains [2]. Furthermore, open science is essential for the verifiability and reproducibility of results and has been a topic of major discussion over the last decade. In materials science, data-driven methodologies, coupled with the appropriate FAIR data management practices, are invaluable for the discovery of new materials due to the vast combinatorial space of chemical systems that emerge from the periodic table [3, 4]. Such methodologies have been successfully applied, e.g., to design and predict new materials with desired properties using ab-initio ground state simulations, i.e., data generated from Density Functional Theory (DFT) calculations [5]. However, there remains a critical gap in replicating this success in the context of other simulation frameworks. <br>\r\nTheoretical spectroscopy and Green's function method simulations [6, 7], including data simulated using the GW approximation, Time-Dependent Density Functional Theory (TDDFT), the Bethe-Salpeter equation (BSE), Dynamical Mean-Field Theory (DMFT), and Korringa-Kohn-Rostoker (KKR), pose especially difficult challenges in the context of FAIR data management. These simulations not only involve extensive computational resources and produce large datasets with associated complex workflows but are also executed using a large variety of public and in-house simulation software. At the same time, these methodologies are essential for understanding excited state properties of complex materials; they are more accurate than DFT calculations and provide better comparisons with experimental results since they incorporate excited states and electronic correlation effects in a more consistent manner [8]. <br>\r\nThere has recently been a number of individual efforts to improve the accessibility of  data produced by theoretical spectroscopy and Green’s function methods through the usage of publicly accessible databases. For example, the Computational Materials Repository (CMR) [9] contains several individual databases, amongst which the Computational 2D Materials Database (C2DB) [10] contains GW and BSE data for a specific set of parameters and properties. The MaterialsCloud [11] database has some individual datasets published for these methodologies, however there is not a clear data structure for them. The NIST-JARVIS [12] database has a specific app for BeyondDFT simulations with DMFT data, but only for a specific simulation code. By making datasets findable, these efforts aim to avoid redundant computations and thus build upon existing work more efficiently. While these efforts represent an important step in the right direction, they fall short of fully achieving their goal due to a continued lack of consistency (i.e., <em>interoperability</em>) between individual databases. Moreover, these self-managed databases typically lack the ability to store the complete provenance of the simulated workflow, which is essential to ensure reproducibility. <br>\r\nRecently, FAIRmat [13], a consortium of the German research data infrastructure (NFDI) association, was formed to construct a scalable data infrastructure for Materials Science that can be easily customized for individual communities. This infrastructure consists of a primary software and repository called NOMAD [14]—a free web-service that enables the organization, analysis, sharing, and publishing of materials science data. One of the tasks within FAIRmat’s scope is to build support for theoretical spectroscopy and Green’s function simulations within NOMAD. Support for several of these methodologies have now been successfully built, and there already exists over 10 000 entries in the NOMAD repository containing GW [15], BSE [16], and DMFT [17] data, along with the full provenance of the corresponding complex workflows. The next step to developing a FAIR data infrastructure for these methods is to tackle the interoperability problem.<br>\r\nInteroperability within this domain is extremely challenging due to the heterogeneous character of theoretical spectroscopy and Green’s function simulations. Consequently, the adoption of common structures (e.g., describing the Green’s function, the self-energy, or the dielectric function) is the key for improving interoperability. Thus, various members of the community, including method developers, materials and data scientists, and data management experts, must come together to reach a consensus on specific common data structures.<br>\r\n<br>\r\n<strong>References</strong><br>\r\n<br>\r\n<a href=\"https://cmr.fysik.dtu.dk/\" target=\"_blank\">[1] Computational Materials Repository (CMR) website</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41467-024-48169-5\" target=\"_blank\">[2] S. Di Cataldo, P. Worm, J. Tomczak, L. Si, K. Held, Nat. Commun., <strong>15</strong>, 3952 (2024)</a><br>\r\n<a href=\"http://dx.doi.org/10.1103/physrevmaterials.8.013801\" target=\"_blank\">[3] F. Meng, B. Maurer, F. Peschel, S. Selcuk, M. Hybertsen, X. Qu, C. Vorwerk, C. Draxl, J. Vinson, D. Lu, Phys. Rev. Materials, <strong>8</strong>, 013801 (2024)</a><br>\r\n<a href=\"http://dx.doi.org/10.1021/acs.jctc.5b00453\" target=\"_blank\">[4] M. van Setten, F. Caruso, S. Sharifzadeh, X. Ren, M. Scheffler, F. Liu, J. Lischner, L. Lin, J. Deslippe, S. Louie, C. Yang, F. Weigend, J. Neaton, F. Evers, P. Rinke, J. Chem. Theory Comput., <strong>11</strong>, 5665-5687 (2015)</a><br>\r\n<a href=\"http://dx.doi.org/10.21105/joss.05388\" target=\"_blank\">[5] M. Scheidgen, L. Himanen, A. Ladines, D. Sikter, M. Nakhaee, Á. Fekete, T. Chang, A. Golparvar, J. Márquez, S. Brockhauser, S. Brückner, L. Ghiringhelli, F. Dietrich, D. Lehmberg, T. Denell, A. Albino, H. Näsström, S. Shabih, F. Dobener, M. Kühbach, R. Mozumder, J. Rudzinski, N. Daelman, J. Pizarro, M. Kuban, C. Salazar, P. Ondračka, H. Bungartz, C. Draxl, JOSS., <strong>8</strong>, 5388 (2023)</a><br>\r\n<a href=\"https://www.fairmat-nfdi.eu/fairmat/\" target=\"_blank\">[6] FAIRmat website</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41524-020-00440-1\" target=\"_blank\">[7] K. Choudhary, K. Garrity, A. Reid, B. DeCost, A. Biacchi, A. Hight Walker, Z. Trautt, J. Hattrick-Simpers, A. Kusne, A. Centrone, A. Davydov, J. Jiang, R. Pachter, G. Cheon, E. Reed, A. Agrawal, X. Qian, V. Sharma, H. Zhuang, S. Kalinin, B. Sumpter, G. Pilania, P. Acar, S. Mandal, K. Haule, D. Vanderbilt, K. Rabe, F. Tavazza, npj. Comput. Mater., <strong>6</strong>, 173 (2020)</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41597-020-00637-5\" target=\"_blank\">[8] L. Talirz, S. Kumbhar, E. Passaro, A. Yakutovich, V. Granata, F. Gargiulo, M. Borelli, M. Uhrin, S. Huber, S. Zoupanos, C. Adorf, C. Andersen, O. Schütt, C. Pignedoli, D. Passerone, J. VandeVondele, T. Schulthess, B. Smit, G. Pizzi, N. Marzari, Sci. Data., <strong>7</strong>, 299 (2020)</a><br>\r\n<a href=\"http://dx.doi.org/10.1088/2053-1583/aacfc1\" target=\"_blank\">[9] S. Haastrup, M. Strange, M. Pandey, T. Deilmann, P. Schmidt, N. Hinsche, M. Gjerding, D. Torelli, P. Larsen, A. Riis-Jensen, J. Gath, K. Jacobsen, J. Jørgen Mortensen, T. Olsen, K. Thygesen, 2D Mater., <strong>5</strong>, 042002 (2018)</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/sdata.2016.18\" target=\"_blank\">[10] M. Wilkinson, M. Dumontier, I. Aalbersberg, G. Appleton, M. Axton, A. Baak, N. Blomberg, J. Boiten, L. da Silva Santos, P. Bourne, J. Bouwman, A. Brookes, T. Clark, M. Crosas, I. Dillo, O. Dumon, S. Edmunds, C. Evelo, R. Finkers, A. Gonzalez-Beltran, A. Gray, P. Groth, C. Goble, J. Grethe, J. Heringa, P. ’t Hoen, R. Hooft, T. Kuhn, R. Kok, J. Kok, S. Lusher, M. Martone, A. Mons, A. Packer, B. Persson, P. Rocca-Serra, M. Roos, R. van Schaik, S. Sansone, E. Schultes, T. Sengstag, T. Slater, G. Strawn, M. Swertz, M. Thompson, J. van der Lei, E. van Mulligen, J. Velterop, A. Waagmeester, P. Wittenburg, K. Wolstencroft, J. Zhao, B. Mons, Sci. Data., <strong>3</strong>, 160018 (2016)</a><br>\r\n<a href=\"https://www.sciencedirect.com/journal/comptes-rendus-physique/vol/10/issue/6\" target=\"_blank\">[11] L. Reining et al., Comptes Rendus Physique 10, 6 (2009)</a><br>\r\n<a href=\"http://dx.doi.org/10.1088/2516-1075/ad48ec\" target=\"_blank\">[12] V. Blum, R. Asahi, J. Autschbach, C. Bannwarth, G. Bihlmayer, S. Blügel, L. Burns, T. Crawford, W. Dawson, W. de Jong, C. Draxl, C. Filippi, L. Genovese, P. Giannozzi, N. Govind, S. Hammes-Schiffer, J. Hammond, B. Hourahine, A. Jain, Y. Kanai, P. Kent, A. Larsen, S. Lehtola, X. Li, R. Lindh, S. Maeda, N. Makri, J. Moussa, T. Nakajima, J. Nash, M. Oliveira, P. Patel, G. Pizzi, G. Pourtois, B. Pritchard, E. Rabani, M. Reiher, L. Reining, X. Ren, M. Rossi, H. Schlegel, N. Seriani, L. Slipchenko, A. Thom, E. Valeev, B. Van Troeye, L. Visscher, V. Vlcek, H. Werner, D. Williams-Young, T. Windus, Electron. Struct., (2024)</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41597-023-02501-8\" target=\"_blank\">[13] L. Ghiringhelli, C. Baldauf, T. Bereau, S. Brockhauser, C. Carbogno, J. Chamanara, S. Cozzini, S. Curtarolo, C. Draxl, S. Dwaraknath, Á. Fekete, J. Kermode, C. Koch, M. Kühbach, A. Ladines, P. Lambrix, M. Himmer, S. Levchenko, M. Oliveira, A. Michalchuk, R. Miller, B. Onat, P. Pavone, G. Pizzi, B. Regler, G. Rignanese, J. Schaarschmidt, M. Scheidgen, A. Schneidewind, T. Sheveleva, C. Su, D. Usvyat, O. Valsson, C. Wöll, M. Scheffler, Sci. Data., <strong>10</strong>, 626 (2023)</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41524-019-0221-0\" target=\"_blank\">[14] J. Schmidt, M. Marques, S. Botti, M. Marques, npj. Comput. Mater., <strong>5</strong>, 83 (2019)</a><br>\r\n<a href=\"http://dx.doi.org/10.1002/advs.201900808\" target=\"_blank\">[15] L. Himanen, A. Geurts, A. Foster, P. Rinke, Advanced Science, <strong>6</strong>, (2019)</a><br>\r\n<a href=\"http://dx.doi.org/10.1038/s41586-022-04501-x\" target=\"_blank\">[16] M. Scheffler, M. Aeschlimann, M. Albrecht, T. Bereau, H. Bungartz, C. Felser, M. Greiner, A. Groß, C. Koch, K. Kremer, W. Nagel, M. Scheidgen, C. Wöll, C. Draxl, Nature, <strong>604</strong>, 635-642 (2022)</a><br>\r\n<a href=\"http://dx.doi.org/10.1557/mrs.2018.208\" target=\"_blank\">[17] C. Draxl, M. Scheffler, MRS Bull., <strong>43</strong>, 676-682 (2018)</a></p>",
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            "contact": "<a href=\"mailto:[email protected]\"><strong>Cornelia Bujenita</strong></a>, CECAM Events and Operations Manager",
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            "id": 70473,
            "title": "Leading a Dynamic and Successful Team",
            "slug": "leading-a-dynamic-and-successful-team-7",
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            "description": "<p>In an increasingly complex and changing world, teams are required to adapt continuously and while continuing to deliver expected results. In this context, the most productive teams are those in which there exists a positive dynamic based on solid leadership, strong relationships and trust. These teams are made up of individuals able to work autonomously as well as collectively, leveraging the capabilities of each member in a constructive and dynamic way and can be held accountable for outcomes.<br>\r\n<br>\r\nDrawing upon leadership theory and systemic team coaching tools, collective intelligence and the neurosciences, this interactive and practical one-day workshop will provide you with new insights into team dynamics and tools to enhance performance. The course involves practical exercises, reflection and offers many opportunities to exchange with other participants.</p>",
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            "id": 71457,
            "title": "lunch&LEARN: Bridging the gap between the math taught in first-year courses and the math used in life sciences research",
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            "event_url": "https://memento.epfl.ch/event/lunchlearn-bridging-the-gap-between-the-math-taugh",
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            "description": "<p>For more than two decades leading professional organizations have called for a reform of the mathematics education of biology and life sciences students. Reflecting the growing importance of mathematics in life sciences research, such reform should bridge the gap between the mathematics students learn and the mathematics used in research.<br>\r\n<br>\r\nIn this talk, <a href=\"https://teaching.ucla.edu/profile/steve-bennoun/\">Steve Bennoun</a>, UCLA, will present how the study of modeling and dynamical systems can be used to create a first-year course that introduces mathematical concepts used in life sciences research in a contextualized way.<br>\r\n<br>\r\nStudents first learn to write models for important biological systems such as hormone levels, epidemiological models, and predator-prey models.<br>\r\n<br>\r\nTaking a geometrical approach, students learn how to determine the long-term behaviors of models by studying phase plane trajectories and the stability of equilibrium points.<br>\r\n<br>\r\nThis enables the study of the concept of “biological switch” or how a cell can start or stop the production of a protein. This is followed by the important notion of qualitative change in a biological systems, or bifurcation.<br>\r\n<br>\r\nStudents learn in particular about Hopf bifurcations or how a system can start or stop oscillating. The second part of the course moves somewhat away from the geometrical approach and focuses on how to determine the stability of equilibrium points using the linearization of a model, motivating the study of the necessary notions from linear algebra by studying discrete-time models.<br>\r\n<br>\r\nThis talk will end with a discussion focusing on research by Sanders et al. (2021) suggesting that such a course supports students success and can reduce equity gaps.<br>\r\n<br>\r\n- - - - - - - - - - - - - <br>\r\n<br>\r\n<em><strong>lunch&amp;LEARN</strong></em> sessions are intended for anyone who teaches at EPFL. <br>\r\nThis session is hybrid and can be attended in person or <a href=\"https://epfl.zoom.us/meeting/register/itgbPQceSnyGQK_-KbEttA\">followed via zoom</a>.<br>\r\nMost sessions are recorded and can be found on the <a href=\"https://www.youtube.com/playlist?list=PLKZOhx3xKAdI81PA1jwBA_LHHfSjbdEUV\">Center LEARN's YouTube channel</a>.<br>\r\nTo get in touch with the team, to suggest a session, or to make inquiries, please send an email to <a href=\"mailto:[email protected]\">[email protected]</a></p>",
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            "start_date": "2026-04-21",
            "end_date": "2026-04-21",
            "start_time": "17:00:00",
            "end_time": null,
            "description": "<p>Thesis Director: Prof. T. Mountford,<br>\r\nMathematics doctoral program<br>\r\nThesis Nr. 11211<br>\r\n<br>\r\nTo take part in the public defense, please contact directly the speaker</p>",
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            "creation_date": "2026-03-06T13:07:23",
            "last_modification_date": "2026-03-06T13:07:23",
            "link_label": "",
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            "place_and_room": "CO 120",
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            "speaker": "<a href=\"mailto:[email protected]\"><strong>Keming CHEN</strong></a>",
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                "id": 12,
                "code": "SOUTE",
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        {
            "id": 71496,
            "title": "Sexual Harassment Awareness Day 2026",
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            "start_date": "2026-04-21",
            "end_date": "2026-04-21",
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            "speaker": "Dirk Baier, Rachel Démolis, Klara Sasse, Anna Fontcuberta i Morral, Charlotte Grossiord, Ola Svensson, Jean-Cédric Chappelier, VPH/WINC/DEI",
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        {
            "id": 71406,
            "title": "Climate Robotics Summit 2026",
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            "lang": "en",
            "start_date": "2026-04-21",
            "end_date": "2026-04-23",
            "start_time": null,
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            "description": "<strong>How Can Robotics Scale Climate Action?</strong><br>\r\n<br>\r\nClimate change is having a massive impact. Meanwhile, climate action is not scaling fast enough to mitigate and adapt to this impact. As such, some level of automation is needed to accelerate our collective efforts in climate mitigation, adaptation, and resilience. The Summit aims to build a multidisciplinary community and knowledge base to inform the responsible, inclusive, and sustainable application of Climate Robotics.<br>\r\n<br>\r\nThe Summit will include 3 keynote lectures and deep-dive sessions covering:<br>\r\nEnergy Infrastructure<br>\r\nBiodiversity and Robotics <br>\r\nEarth and Ocean Observations<br>\r\nFunding Climate Robotics<br>\r\nRecycling Management<br>\r\nBuilt Environment<br>\r\nWater (Access, Resilience, Conservation)<br>\r\n&amp; More!<br>\r\n<br>\r\nRegister now!",
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        {
            "id": 71405,
            "title": "AI & Compute - Research Computing Platform (RCP) - Exchange session",
            "slug": "ai-compute-research-computing-platform-rcp-exch-26",
            "event_url": "https://memento.epfl.ch/event/ai-compute-research-computing-platform-rcp-exch-26",
            "visual_url": "https://memento.epfl.ch/image/32752/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-04-22",
            "end_date": "2026-04-22",
            "start_time": "14:00:00",
            "end_time": "15:30:00",
            "description": "<p>The<strong> <a href=\"https://ai.epfl.ch/\">EPFL AI Center </a></strong>is delighted to invite you to join the exchange session about the <strong><a href=\"https://www.epfl.ch/research/facilities/rcp/\">Research Computing Platform (RCP)</a></strong>.<br>\r\n<br>\r\nAre you building, training ML models? Are you currently facing challenges regarding IT infrastructure, and looking for reliable, collaborative, high-capacity, and affordable storage solutions to manage your research data? Are you seeking information about the computing costs? <br>\r\n<br>\r\nThe <strong><a href=\"https://www.epfl.ch/research/facilities/rcp/\">Research Computing Platform (RCP)</a></strong> offers campus-wide IT infrastructure geared for the research community. The offering includes a GPU infrastructure (&gt; 400) aiming at making AI compute as accessible as possible throughout the campus. <br>\r\n<br>\r\nThis event will provide insights into the various services RCP offers to the EPFL research community. <br>\r\n<br>\r\n<strong>Event Details:</strong>\r\n</p><ul>\r\n\t<li><strong>Date:</strong> April 22, 2026 </li>\r\n\t<li><strong>Time:</strong> 14:00-15:30</li>\r\n\t<li><strong>Location:</strong> ELE 117 - AI Center Lounge </li>\r\n\t<li><strong>Registration required, with your EPFL email address: <a href=\"https://forms.office.com/e/KvKgmVrjsh\">HERE</a></strong></li>\r\n</ul>\r\n<strong>Program</strong>\r\n\r\n<ul>\r\n\t<li><strong>14:00-14:30: Presentation of the RCP infrastructure and services</strong> <strong>(</strong>incl. storage, compute, file transfer, GPU-based service offer, HaaS…)</li>\r\n\t<li><strong>14:30-15:30: Q&amp;A and hands-on questions with the RCP team</strong></li>\r\n</ul>\r\n<em>(Refreshments provided)</em><br>\r\n<br>\r\n<strong>How It Works:</strong>\r\n\r\n<ol>\r\n\t<li><strong>Register and share some previous thoughts:</strong> Did you know about the RCP before? Are you running simulations? Have you planned computing resources in your project?</li>\r\n\t<li><strong>Bring a Laptop and your questions:</strong> the RCP team will be there to address your question based on your specific use case.</li>\r\n\t<li><strong>Discussion:</strong> gather to share your challenges, receive constructive feedback, and explore potential collaborations.</li>\r\n</ol>\r\n<br>\r\nDon’t miss this opportunity to learn how RCP can support your research endeavors. <br>\r\n<br>\r\nWe look forward to seeing you there!",
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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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            "lang": "en",
            "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": "",
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        {
            "id": 70632,
            "title": "Conduire le changement",
            "slug": "conduire-le-changement-4",
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            "lang": "en",
            "start_date": "2026-04-22",
            "end_date": "2026-05-11",
            "start_time": "09:00:00",
            "end_time": "17:00:00",
            "description": "<p>Dans notre monde en constante évolution, le changement constitue l’une des seules constantes, qu’il s’agisse du changement au niveau de l’individu, de l’équipe ou de l’organisation dans son ensemble. Cet atelier vous fournit des outils et des techniques pour naviguer et diriger efficacement vos partenaires à travers le processus de changement, tout en soutenant la transformation organisationnelle.<br>\r\n<br>\r\nA la fin de cet atelier, vous serez en mesure de :\r\n</p><ul>\r\n\t<li>Construire une vision du changement et utiliser efficacement la narration</li>\r\n\t<li>Identifier et traiter les ‘tueurs du changement’</li>\r\n\t<li>Évaluer et prendre en compte les parties prenantes dans vos initiatives de changement transversal</li>\r\n\t<li>Comprendre la manière de surmonter la résistance au changement </li>\r\n\t<li>Établir la confiance et la crédibilité</li>\r\n\t<li>Écouter efficacement</li>\r\n\t<li>Améliorer vos compétences en matière de communication autour du changement transversal</li>\r\n</ul>\r\nDurée de la formation: 2 heures virtuelle + 2 jours présentiels<br>\r\nPublic cible: Managers",
            "image_description": "",
            "creation_date": "2025-12-08T11:49:51",
            "last_modification_date": "2025-12-08T11:52:35",
            "link_label": "Inscription",
            "link_url": "https://epfl.eu.crossknowledge.com/site/m/public_training/807",
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            "speaker": "Marie Nordling",
            "organizer": "KeepLearning",
            "contact": "[email protected]",
            "is_internal": "True",
            "theme": "",
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            "category": {
                "id": 15,
                "code": "FORM",
                "fr_label": "Formations internes",
                "en_label": "Internal trainings",
                "activated": true
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        },
        {
            "id": 71258,
            "title": "SUPER SANDWICH SEMINAR",
            "slug": "super-sandwich-seminar-365",
            "event_url": "https://memento.epfl.ch/event/super-sandwich-seminar-365",
            "visual_url": "https://memento.epfl.ch/image/32616/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-04-23",
            "end_date": "2026-04-23",
            "start_time": "12:00:00",
            "end_time": "13:00:00",
            "description": "<p>Triple S (Super Sandwich Seminar) will feature 3 speakers per week, each presenting for 15 minutes, followed by a 5 minutes Q&amp;A session.</p>",
            "image_description": "",
            "creation_date": "2026-02-26T17:14:55",
            "last_modification_date": "2026-02-26T17:16:15",
            "link_label": "",
            "link_url": "",
            "canceled": "False",
            "cancel_reason": "",
            "place_and_room": "SV 1717",
            "url_place_and_room": "https://plan.epfl.ch/?room==SV%201717",
            "url_online_room": "",
            "spoken_languages": [
                "https://memento.epfl.ch/api/v1/spoken_languages/2/?format=api"
            ],
            "speaker": "Flor Cecilia Navarro Negredo, <em>Radtke Lab; </em>Juliane Da Graca -<em> D'Angelo Lab; free slot</em>",
            "organizer": "Prof. Pierre Gönczy",
            "contact": "Lisa Smith, ISREC Administrative Assistant",
            "is_internal": "True",
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            },
            "keywords": "Super Sandwich, cancer",
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