BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Physical Sciences Data Infrastructure - ECPv6.18.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:Physical Sciences Data Infrastructure
X-ORIGINAL-URL:https://www.psdi.ac.uk
X-WR-CALDESC:Events for Physical Sciences Data Infrastructure
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Berlin
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20271031T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Europe/London
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20251026T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20260329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20261025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20270328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20271031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
TZNAME:BST
DTSTART:20280326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0100
TZOFFSETTO:+0000
TZNAME:GMT
DTSTART:20281029T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261102
DTEND;VALUE=DATE:20261107
DTSTAMP:20261022T161735Z
CREATED:20260603T133859Z
LAST-MODIFIED:20261022T161735Z
UID:37596-1793577600-1794009599@www.psdi.ac.uk
SUMMARY:Workshop: 5th Ontologies4Chem – Limburg\, Germany
DESCRIPTION:📣 SAVE-THE-DATE ANNOUNCEMENT \n5th Ontologies4Chem Workshop \nThe next iteration of Ontologies4Chem is in planning with our team of collaborators. \n\n📅 Dates: November 2–6\, 2026📚 Workshop core program: November 3–5\, 2026📍 Location: Domhotel Limburg Grabenstraße 57\, Limburg\, Germany \n\n			\n				\n				\n				\n				\n				Organisers\n\n\n\nTIB\, Beilstein-Institut\, NFDI4Chem\, NFDI4Cat & PSDI \n\n\n\n			\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n\nOverview\n\nFollowing the positive experience of last year’s workshop\, we aim to continue fostering open discussions\, hands-on collaboration\, and community-driven progress in chemical ontologies and semantic infrastructure. \n\n\nTo help us shape the program according to the needs and interests of the community\, we would greatly appreciate your feedback. In particular\, we would be interested to hear: \n\n\n\n\n\n\nWhich topics\, discussions\, or breakout sessions from the 2025 workshop you would like to see continued or deepened\nAny specific ontology-related challenges\, use cases\, or infrastructure topics you would like to address\nSuggestions for formats\, discussion themes\, or collaborative sessions\n\n\n\n\n\n\nYour input will directly help us design a workshop program that reflects the priorities and interests of the Ontologies4Chem community. Please send your ideas and suggestions to ontologies@nfdi4chem.de. \n\n\nFurther details\, including registration information and the preliminary program\, will follow in the coming months. You can also check out the nfdi4chem event webpage: https://nfdi4chem.de/event/5th-ontologies4chem-workshop/. \n\n\nWe very much hope to welcome you again in Limburg in November 2026. \nBest regards\,the Ontologies4Chem Workshop Organization Team
URL:https://www.psdi.ac.uk/event/5th-ontologies4chem-workshop/
LOCATION:Dom Hotel Limburg\, Limburg\, Germany
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/png:https://www.psdi.ac.uk/wp-content/uploads/2026/06/Banner-Ontologies4Chem.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261125T120000
DTEND;TZID=Europe/London:20261126T153000
DTSTAMP:20261027T164310Z
CREATED:20260727T132602Z
LAST-MODIFIED:20261027T164310Z
UID:37663-1795608000-1795707000@www.psdi.ac.uk
SUMMARY:PSDI Conference & Showcase 2026
DESCRIPTION:Registration now open for our Conference & Showcase event!\n👉Secure your place at the PSDI Conference & Showcase 2026! To guarantee your place (and your dietaries) please register by the 8th of November \nWant to know what is happening on both days\, then see the agenda here \nIf you are interested in sponsoring the event get in contact with us \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				🗓 Date: 25-26 November 2026 📍Venue: Leonardo Royal Hotel Southampton Grand Harbour\, West Quay Road\, Southampton SO15 1AG 🕘 Time: 12:00 (Day 1) – 15:30 (Day 2)💵 Cost: FREE – limited financial assistance is available for accommodation and travel  \n			\n				\n				\n				\n				\n				About the Event\nJoin us for the second Physical Sciences Data Infrastructure (PSDI) Conference and Showcase\, taking place in Southampton on 25-26 November 2026. This two-day event will bring together researchers\, technical specialists\, data professionals\, infrastructure providers\, funders and policymakers with an interest in research data\, digital infrastructure\, AI and machine learning\, open science\, and data-intensive physical sciences research. \n🎤 Inspiring Keynotes and Panel discussionsHear from Deirdre Black (RSC)\, and Laura Shemilt (BioFAIR) in their keynote talks as they share perspectives on the opportunities and challenges shaping the future of science. Then join in with our two interactive panels on: \n\nFacilitating AI in the Physical Sciences (chaired by Dr Matthew Partridge)\nThe Human side of Digital Research (chaired by Dr Samantha Pearman-Kanza)\n\n🤖 AI and the Physical SciencesArtificial intelligence is transforming research as we know it\, be a part of the conversation around how we navigate this quickly developing technology and best engage with AI in the physical sciences. \n🔬 Exhibition and Poster SessionsCome and meet the teams behind different PSDI services and projects. Enjoy a hands-on experience with the developers and chat with them about your own research challenges and what opportunities could be unlocked. \n🌟 PSDI Champions SessionFind out about our new PSDI Champions scheme\, hear about our current champion activities and learn how the scheme is driving change. We will be launching our next round of Champions funding at the Showcase! \n🤝 Networking OpportunitiesConnect with researchers\, technical specialists\, service providers\, funders and community leaders throughout the event\, including a dedicated evening networking reception and conference dinner. \n🚀 Discover What’s Next for PSDIBe a part of how PSDI continues to develop. Whether it is tools or services you developing\, or somewhere to store high-quality data\, we need you to tell us how we should be supporting the physical sciences in the coming years. \nBelow is an outline of our two day agenda: \nEvent outline\nKeep an eye out for further updates to the schedule to come as we get closer to the event \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 1\n1200  – Lunch \n1310 – Conference Starts \nDays Sessions include: \n\nPSDI overview\nKeynote from Deirdre Black (RSC)\,\nDemonstration lightning talks\,\nShowcase exhibition and poster session\,\nPanel on Facilitating AI in the physical sciences\n\n1730 – Networking Reception \n1830 – Conference Dinner \n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 2\n0915 – Conference Starts \nDays sessions include: \n\nCommunity talks\,\nAI4Science highlights\,\nPanel on the human side of digital research\,\nPSDI Champions scheme\,\nKeynote from Laura Shemilt (BioFAIR)\n\n1500 – Conference Concludes \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Who Should Attend?\nThe Showcase is intended for anyone with an interest in data-enabled physical sciences research\, including: \n\nResearchers\, academics and research group leaders\nResearch software engineers and technical specialists\nData stewards and data managers\nInfrastructure and platform providers\nLibrarians and research support professionals\nFunders\, policymakers and strategy leads\nIndustry partners interested in data-intensive research and innovation\n\n			\n				\n				\n				\n				\n				Sponsorship Opportunities\nIf you are a company or business you may wish to consider sponsoring the event. We are offering a range of sponsorship packages\, from Silver to Platinum\, with a drinks reception option too. Download the sponsorship pack to see what’s on offer\, or if you have a suggestion or idea that please contact us to discuss what you might wish to do. \n  \n			\n				\n				\n				\n				\n				Logistics Information\nThe event will take place at the Leonardo Royal Hotel Southampton Grand Harbour\, a modern\, accessible venue in the heart of the city. \nAddress: Leonardo Royal Hotel Southampton Grand Harbour\, West Quay Road\, Southampton SO15 1AG. For tourist information for Southampton see Visit Southampton.Transport: Excellent rail and public transport linksAccessibility: Wheelchair accessible venue\, please contact the PSDI team if you have any specific accessibility queries. \nLunch and refreshments will be provided throughout both days\, with a Networking Reception and Dinner on Day 1. Accommodation and travel is not included. \nFinancial assistance may be available to cover to support your attendance at this PSDI showcase. This is only available to UK applicants and there is limited funding available. If you would like to apply for this please complete this form and the team will get back to you as soon as possible. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\nWe look forward to welcoming you to Southampton as we bring together the UK’s physical sciences community to explore\, share and shape the future of research data infrastructure. \nRegistration details and programme updates will be announced in due course. Registration is now open and you can join the PSDI mailing list to receive PSDI updates. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				Register now\n			\n			\n				\n				\n				\n				\n				\n				Revisit PSDI Showcase 2025
URL:https://www.psdi.ac.uk/event/showcase-2026/
LOCATION:Leonardo Royal Hotel Southampton Grand Harbour\, West Quay Rd\, Southampton\, Hampshire\, SO15 1AG\, United Kingdom
CATEGORIES:Large Event
ATTACH;FMTTYPE=image/png:https://www.psdi.ac.uk/wp-content/uploads/2026/07/Showcase-2026-website-banner.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/London:20261210T140000
DTEND;TZID=Europe/London:20261210T150000
DTSTAMP:20261104T113034Z
CREATED:20261022T110132Z
LAST-MODIFIED:20261104T113034Z
UID:38180-1796911200-1796914800@www.psdi.ac.uk
SUMMARY:Webinar: From Project to Platform: New Resources on PSDI – Session 7
DESCRIPTION:Registration link: https://us06web.zoom.us/webinar/register/WN_rpE3uS6uT_Gtk8SMOxAA8Q \nPSDI is pleased to launch a new webinar series entitled “From Project to Platform: New Resources on PSDI”. This series aims to showcase the high-quality tools and resources developed through the funding call 2025\, introduce them to a broader community\, and foster engagement with relevant user groups.   \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Abstract\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				TEMPOS – Simulate\, Train\, Deploy: A Reusable Workflow for Image Analysis with Limited Experimental Data at University College London. \n			\n				\n				\n				\n				\n				Challenge\n			\n				\n				\n				\n				\n				Machine learning has revolutionised image analysis; however\, it relies on extensive\, meticulously annotated training datasets that are frequently unavailable in experimental disciplines. In transmission electron microscopy (TEM)\, the quantification of nanoparticle size and morphology continues to depend predominantly on manual segmentation\, a process that is time-consuming\, subjective and difficult to scale. The annotation required to develop deep-learning models may exceed the duration of the experiments themselves. This labelling bottleneck impedes artificial intelligence adoption in any context where data acquisition is costly\, scarce or sensitive. \n			\n				\n				\n				\n				\n				Approach\n			\n				\n				\n				\n				\n				TEMPOS circumvents this constraint by utilising physically informed synthetic imagery rather than manually annotated experimental data. The methodology comprises three phases: \n\nSimulate: a generator produces realistic TEM micrographs with controllable particle size\, shape\, density and imaging conditions. Every image comes with exact ground truth\, known by construction.\nTrain: a Mask R-CNN instance-segmentation model\, built on Detectron2\, learns to outline individual particles from these synthetic images.\nDeploy: the trained model is applied to real micrographs. Per-particle morphological descriptors are extracted automatically and published to a FAIR\, searchable Datasette database.\n\nWe demonstrate the pipeline on latex spheres\, gold nanoparticles and Co₃O₄ nanocrystals\, and validate it against manually annotated experimental images. \n			\n				\n				\n				\n				\n				Innovation\n			\n				\n				\n				\n				\n				The central idea is that the training dataset is designed rather than collected. Labels come free with the simulation\, so new materials or imaging conditions can be handled by adjusting simulation parameters instead of running a new annotation campaign. The resulting datasets are AI-ready from the start. Combined with FAIR publication through the community database TEM-ParticlesDB\, TEMPOS offers a reusable template for any imaging problem where a reasonable physical model exists but labelled data do not. The webinar will walk through the workflow from start to finish and discuss how it can be adapted beyond electron microscopy. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Dr Andrew Stewart directs the electron microscopy facilities within the Department of Chemistry at University College London\, where he oversees a multi-user electron microscopy facility (SEM & TEM) alongside an active research programme. His research focuses on electron diffraction techniques\, specifically three-dimensional electron diffraction (3DED/MicroED) and 4D-STEM\, and the integration of machine learning into electron microscopy and crystallography. A central objective of his work is enhancing the accessibility of these methodologies. This is achieved through open-source software and instrumentation\, notably the NanoMi\, TEMGYM\, and LiberTEM projects; the generation of synthetic training data for artificial intelligence\, and the development of FAIR community data infrastructure\, as exemplified by TEMPOS. He is a member of the IUCr Commission on Electron Crystallography and collaborates with PSDI and AIchemy.  \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Register for this webinar\nRegister for this webinar directly through zoom:https://us06web.zoom.us/webinar/register/WN_rpE3uS6uT_Gtk8SMOxAA8Q  \n			\n				\n				\n				\n				\n				The PSDI team looks forward to seeing you at the webinar\, if you have any questions you can always get in contact with us.
URL:https://www.psdi.ac.uk/event/new-resources-webinar-7/
LOCATION:Online\, Virtual Event\, Online
CATEGORIES:Webinar
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20270405
DTEND;VALUE=DATE:20270410
DTSTAMP:20261022T092500Z
CREATED:20261022T092305Z
LAST-MODIFIED:20261022T092500Z
UID:38186-1806883200-1807315199@www.psdi.ac.uk
SUMMARY:Chemistry and Materials Machine Learning School 2027
DESCRIPTION:📅 Dates: 5-9 April 2027📍 Venue: STFC Daresbury Laboratory\, United Kingdom💷 Fee: £250 (includes 4 nights’ accommodation & catering)👉 Website / Apply here: spring2027.camml.ac.uk \n			\n				\n				\n				\n				\n				Overview\n			\n				\n				\n				\n				\n				The Chemical and Materials Machine Learning School (CaMMLs) is a five-day intensive training course designed for PhD students (and a limited number of industrial applicants) working in the field of materials and molecular simulations who have coding experience but are not yet highly experienced with machine learning (ML). The school is organised by Physical Sciences Data Infrastructure (PSDI) in collaboration with AIchemy\, and supported by STFC‑SCD\, CCP5\, CCP9 and CECAM. \nParticipants will explore the latest ML methods for atomistic simulation of materials and molecules through a combination of talks\, hands-on practical sessions and poster presentations. Topics include fundamentals of machine learning\, interatomic potentials and graph neural networks. \n			\n				\n				\n				\n				\n				Learning Outcomes\n			\n				\n				\n				\n				\n				By the end of the school\, participants will: \n\n\nGain awareness of state-of-the-art ML methods for atomistic and molecular simulations \n\n\nGain practical experience applying ML techniques in real-world research contexts \n\n\n			\n				\n				\n				\n				\n				Key Dates\n			\n				\n				\n				\n				\n				\n\nApplication deadline: 26 November 2026 \n\n\nNotification of acceptance: 17 December 2026 \n\n\nPayment deadline: 13 February 2027 \n\n\n			\n				\n				\n				\n				\n				Who Should Attend\n			\n				\n				\n				\n				\n				This school is aimed primarily at PhD students in materials & molecular simulation who already code but are new to machine learning. A limited number of places may be available for industrial applicants. Places are limited to 40 and\, in the event of oversubscription\, we will prioritise a diverse cohort of participants. \n			\n				\n				\n				\n				\n				How to Apply\n			\n				\n				\n				\n				\n				Visit https://spring2027.camml.ac.uk/registration/ to complete your application via cvent. Payment of the course fee must be made by 13 February 2027 upon acceptance. Fee includes accommodation\, breakfast\, lunches\, coffee breaks\, school bbq and poster session refreshments. \n			\n				\n				\n				\n				\n				Contact / Further Information\n			\n				\n				\n				\n				\n				For any enquiries please contact Alin M Elena at alin-marin.elena@stfc.ac.uk. We encourage you to share this opportunity with colleagues and students who may be interested.
URL:https://www.psdi.ac.uk/event/camml-2027/
LOCATION:Daresbury Laboratory\, Keckwick Lane\, Daresbury\, WA4 4AD\, United Kingdom
CATEGORIES:Training
ATTACH;FMTTYPE=image/svg+xml:https://www.psdi.ac.uk/wp-content/uploads/2025/10/CaMMLS-Banner-169.svg
END:VEVENT
END:VCALENDAR