BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Memento EPFL// BEGIN:VEVENT SUMMARY:EPFL Research Data Week 2025 DTSTART;VALUE=DATE:20251106 DTSTAMP:20260403T200529Z UID:ae963baecd09de6f82178a9c45a010cd852620bbc594a0deaa651108 CATEGORIES:Conferences - Seminars DESCRIPTION:From November 6 to 13\, 2025\, the EPFL research community is invited to take part in the EPFL Research Data Week\, a unique week dedica ted to the proper management\, sharing\, and valorization of research data for more open and sustainable science.\n\nTarget Audience\nPhD students\, researchers\, and anyone involved in or interested in the production and management of research data at EPFL.\n\nWhy Participate?\n\n Connect with the EPFL community and domain experts. \n Discover best practices for man aging your research data.\n Test your knowledge\, take on challenges. \n Try to win Balélec 2026 tickets and gift baskets. \n\nProgram Overview\n Nov 6 | Research Data Lunch Talks “FAIR principles in the AI era” \nN ov 6–12 | Research Data Challenge \nNov 13 | Research Data Workshops\n\ nEvent Philosophy\nAdopting a research data management strategy is not jus t about organizing results better: it’s about promoting more efficient a nd reproducible research practices\, improving the quality of scientific w ork\, and increasing its impact. By sharing and valorizing their research data\, researchers contribute to a more open\, collaborative\, and sustain able science\, whose long-term benefits extend to society.\n\nEPFL Researc h Data Week 2025 is organized by the EPFL Library and the EPFL Sustainabil ity Unit.\n\nRegister!\n\nDETAILED PROGRAM\n\n____________________________ _____\n\nThursday\, November 6\, 2025 | 12:30–14:00 | CM 1 4\nResearch D ata Lunch Talks “FAIR principles in the AI era” \nLanguage: English\n Doors open from 12:15 | free lunch bag - water not included: bring your re usable bottle to reduce environmental impact. \n \nA moment of exchange around the FAIR principles – Findable\, Accessible\, Interoperable\, Reu sable – in the age of artificial intelligence. \n \n\n\n Welcome and i ntroduction \n\nBy Dr Chiara Gabella\, Head of EPFL Library Research Data Management Team \nBy Dr Manuel Cubero-Castan\, Sustainable IT Project Ma nager\, EPFL Sustainability\n \n\n Talk 1 | Making the collective knowled ge of chemistry open and machine actionable \n\nBy Prof. Berend Smit\, He ad of the EPFL Laboratory of Molecular Simulation\nWe argue that establish ing a modular open-science platform centered on open\, machine-actionable chemical data—building on existing technologies like electronic lab note books—would transform chemistry by making currently fragmented\, often n on-digital laboratory data reusable\, discoverable\, and integrally embedd ed in the research process rather than an afterthought. \n \n\n Talk 2 | The missing link in FAIR data policy: data resources \n\nBy Dr Lucy Pove da\, SIB Scientific Relations Manager\nBreakthroughs like AlphaFold or the rapid COVID-19 response were only possible thanks to decades of investmen t in curated data resources. Yet these critical infrastructures remain und erfunded and overlooked. This talk will show why sustaining them is essent ial to realise the FAIR principles and unlock AI-driven discovery. \n \n \n Talk 3 | Apertus: Democratizing Open and Compliant LLMs for Global Lang uage Environments \n\nBy Prof. Martin Jaggi\, Head of EPFL Machine Learni ng and Optimization Laboratory\nHow to build a 8B and 70B open-data open-w eights LLM\, multilingual in >1000 languages.\n \n\n Talk 4 | Towards Cul turally Sensitive Empathetic Conversational Agents \n\nBy Dr Anuradha Wel ivita\, EPFL Human-Computer Interaction Group\nThis talk explores how empa thetic conversational agents can embody fairness\, empathy\, and cultural inclusivity. It will also highlight how the quality\, accessibility\, and representativeness of datasets influence equitable AI systems\, and how FA IR data principles may support culturally sensitive and transparent models \, while acknowledging challenges such as protecting sensitive data and ad dressing gaps in dataset diversity. \n \n\n Panel for Q&A\, open discuss ion\n\n_________________________________\n\nNovember 6\, 7\, 10\, 11\, and 12\, 2025 | Online \nResearch Data Challenge\nLanguages: English & Frenc h\n \nA scientific challenge for the EPFL community: each day\, a video o n Research Data Management will be released\, accompanied by an online qui z. \nAnswer as many quizzes as possible to maximize your chances of winni ng! \nPrizes: Balélec 2026 tickets and gift baskets.\n\nEPFL members: vi deos et quiz (restricted access)\nExternal public: videos\n \n\n\n Thu 6. 11 | Video 1: Discover & reuse \n Fri 7.11 | Video 2: Plan & design \n Mon 10.11 | Video 3: Use\, organize & store \n Tue 11.11 | Video 4: Publ ication \n Wed 12.11 | Video 5: Archive & preserve \n\nPrize ceremony: T hursday\, November 13 at 13:30 at the AI Center lounge | ELE 117\n\n______ ___________________________\n\nThursday\, November 13\, 2025 | 12:15–13: 15 | Multiple locations across campus \nResearch Data Workshops \nLangua ge: English\nDoors open from 12:00 | free lunch bag – water not included : bring your reusable bottle to reduce environmental impact.\n \nFive han ds-on workshops to deepen your skills in Research Data Management and anal ysis on campus. \n \n\n\n W1 | Discover ELNs – A Notebook for Scientif ic Data Management \n\nBy Dr Luc Patiny (maximum 20 participants) \nDis cover how a modern Electronic Lab Notebook (ELN) is revolutionizing the ma nagement and sharing of scientific data in chemistry. This demo highlights a seamless workflow that integrates data collection\, analysis\, and reus e\, making your research more collaborative and productive. With an access ible interface and powerful tools\, explore a world where data becomes eas y to find\, use\, and valorize. \nPrerequisite: Bring a laptop with Googl e Chrome installed.\n \n\n W2 | Solidipes – Saving Your Data \n\nBy Dr Guillaume Anciaux (maximum 15 participants) \nSolidipes is an innovative platform designed to support scientists throughout the entire lifecycle o f their research data: acquisition\, curation\, publication\, and sharing. This intuitive web solution facilitates data visualization\, guides resea rchers in writing essential documentation and defining metadata\, while en suring compliance with FAIR principles (Findable\, Accessible\, Interopera ble\, Reusable). In this workshop\, discover how Solidipes simplifies data management\, removes barriers to sharing\, and boosts scientific collabor ation to fully valorize your research. \nPrerequisite: knowledge of the P ython programming language\n \n\n W3 | Discover Renku for collaborative r esearch \n\nBy Dr Rok Roškar (maximum 15 participants) \nJoin us to dis cover Renku\, the open-source platform that enables scientific collaborati on by bringing data\, code\, and compute together in a single accessible e nvironment. Simplify your workflows\, collaborate without technical barrie rs\, and unlock the full potential of your projects with a flexible and po werful solution designed for researchers and educators. See how Renku is t ransforming collaborative research!  \nPrerequisite : knowledge of th e Python or R programming language\n \n\n W4 - Data publication made simp le\n\nBy Dr Francesco Varrato et Christopher Tremblay (maximum 18 particip ants) \nWho said publishing research data takes too much time or is too c omplicated? This hands-on serious game will prove the opposite! In small t eams (2-3 people)\, you will explore the challenge of publishing a dataset on Zenodo and get a taste of the peer-review process. A prize awaits the best team! But the real reward will be discovering how fast and accessible data publishing can be - and how it can boost the impact of your research . \nPrerequisite: a laptop\n \n\n W5 | Sample Management - How to optim ize storage and handle associated data\n\nBy João Prado Vieira and Claire Stoffel (maximum 20 participants)\nA practical workshop to master storag e location management\, samples inventories\, barcoding\, derivations of s amples and associated data.\nPrerequisite: a laptop\n\nThe EPFL Research D ata Week closing ceremony will take place at 13:30 in the AI Center lounge (ELE 117).\n  LOCATION:EPFL campus STATUS:CONFIRMED END:VEVENT END:VCALENDAR