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DTSTART;TZID=Europe/London:20260716T100000
DTEND;TZID=Europe/London:20260716T160000
DTSTAMP:20260612T112932
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UID:37165-1784196000-1784217600@www.psdi.ac.uk
SUMMARY:Transitioning from FAIR to AI Ready Data in the Physical Sciences: A PSDI & AIchemy Workshop
DESCRIPTION:Event Details\n📅Date: Thursday\, 16 July\n🕘Time: 10:00 am – 4:00 pm\n📍Location: University of Southampton\, B100 Room 6009\, Highfield Campus\, Southampton\, SO17 1BJ\n			\n				\n				\n				\n				\n				About the Workshop\nIn recent years\, the physical sciences community has been generating increasingly large and complex datasets\, at a scale that is now beyond what can be fully explored or analysed by humans alone. As a result\, researchers are turning to AI and machine‑learning techniques\, which have matured significantly and offer powerful new ways to extract insight from data. However\, while the adoption of FAIR data principles has improved data sharing and reuse\, experience is showing that FAIR does not necessarily mean AI‑ready. Many datasets remain difficult to use effectively in AI and Machine Learning models.   \nThis interactive workshop has been co-created by the Physical Sciences Data Infrastructure (PSDI) and the AI in Chemistry Hub (AIchemy). It aims to bring together researchers\, data professional and infrastructure developers to facilitate knowledge exchange and explore what it truly means to be “AI Ready”. The workshop is comprised of invited presentations\, lightning talks from participants and interactive discussion sessions. The talks will share current practices\, highlighting successes and challenges\, and the discussion sessions will explore the practical approaches and tools for evaluating and improving AI readiness.   \nAudience\nThis in-person event is aimed at anyone interested in dataset standards\, curation\, and developing robust methods to assess the applicability and reliability of data for reuse. It will be particularly relevant for researchers and research software engineers working with data and AI/ML\, data stewards and research data managers\, infrastructure and platform developers\, and scientists interested in enabling future reuse of their datasets.  \nCall for Lightning Talks\nWe invite submissions for short lightning talks exploring the challenges\, opportunities\, and practical experiences involved in creating AI-ready datasets within the physical sciences. \nThis is an opportunity to share emerging ideas\, real-world case studies\, and lessons learned from working with data intended for AI and machine-learning applications. \nTopics may include\, but are not limited to: \n\nExperiences in developing or curating AI-ready datasets\nChallenges in preparing FAIR data for AI and machine learning use\nData quality\, metadata\, interoperability\, and standardisation\nBenchmarking\, validation\, and reproducibility\nInfrastructure\, tooling\, and workflow development\nCommunity needs\, open challenges\, and proposed solutions\n\nDuring registration\, participants will be able to indicate their interest in presenting a lightning talk. The organising team will review submissions and notify successful applicants by 26 June 2026. \nDraft Agenda  \n\n10:00-10:30: Coffee & Registration  \n\n\n10:30-10:35: Housekeeping & Welcome \n\n\n10:35-10:45: Introduction to PSDI \n\n\n10:45-10:55: Introduction to AIchemy \n\n\n10:55-11:10: Setting the Scene: From FAIR to AI-Ready \n\n\n11:10-11:25: Coffee Break & Networking  \n\n\n11:25-12:45: Invited Speakers (Matthew Partridge\, Aileen Day\, Nessa Carson) \n\n\n12:45-13:30: Networking Lunch \n\n\n13:30-14:00: Participant Lightning Talks \n\n\n14:00-14:15: Introduction to Discussion Sessions  \n\n\n14:15-14:45: Discussion Sessions Part 1 \n\n\n14:45-15:00: Coffee Break & Networking  \n\n\n15:00-15:30: Discussion Sessions Part 2 \n\n\n15:30-16:00: Feedback & Wrap Up\n\nEvent Travel\nThe University of Southampton is accessible via various different transport links \n\nTravelling by Train: Southampton Airport Parkway is the closest station\, but Highfield Campus is also close to St Denys and Southampton Central Station\n\n\nTravelling by Bus: Highfield Campus is on the bus route for all Unilink Busses\n\n\nTravelling by Car: Highfield Campus has very limited parking\, if you require on-site parking for accessibility reasons then please note that in your registration\, or email psdi@soton.ac.uk at least one week in advance\, and we will try and accommodate this if possible (NB: we cannot guarantee this in the week leading up to the event). There is also a 100-space short stay carpark (with charges)\, but this is likely to be very busy.\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Bio\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 Aileen Day is currently working as Senior Data Engineer of Physical Sciences Data Infrastructure (PSDI) leading the development of its metadata. This involves applying best practices in designing the metadata schema\, development of tools and workflows to support metadata input\, update and validation\, integration with other PSDI services and providing support and guidance to PSDI contributors and users.  Throughout her career she has worked with one foot in science (Chemistry and Materials Science) and one foot in computing (computer modelling\, programming\, databases).  Aileen initially studied materials science at the University of Cambrige\, then completed a PhD in the chemistry department at University College London (computer modelling zeolites). She has been a Materials Information Consultant for Granta Design where she worked with customers to make databases of materials properties.  She also spent many years at the Royal Society of Chemistry\, developing RSC publications and ChemSpider and linking them to each other and other relevant resources. \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 Matthew Partridge is Senior Enterprise Fellow and Director of Outreach in the School of Chemistry and Chemical Engineering at the University of Southampton. His work focuses on physical chemistry data collections\, and on making these more accessible and useful for the wider chemistry community. He works within the Physical Sciences Data Infrastructure (PSDI)\, contributing to Alchemy projects including electronic lab notebook adoption in chemistry and making data AI-ready. He also helps develop and grow the School’s outreach activities\, bringing chemistry to as wide an audience as possible. \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 Nessa Carson received Master’s degrees in synthesis and catalysis from Oxford University and the University of Illinois at Urbana-Champaign. She started out as a synthetic chemist for AMRI\, then moved within the company to run the high-throughput automation facility for Eli Lilly in Windlesham\, working across discovery and process chemistry\, then in high-throughput reaction optimization at Pfizer and then Syngenta. Nessa moved to AstraZeneca in 2022 as Digital Champion\, focussing on digital transformation and making life easier for scientists\, and currently works in the Predictive Science\, Digital\, and Automation team. She was awarded the Salters’ Institute Centenary Award for early-career chemists with the potential to make an outstanding long-term contribution to industrial chemistry. \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 Otello Roscioni is a PhD-qualified computational chemist who has spent four years working as an Ontologist\, bringing rigorous scientific grounding to knowledge engineering. He made a key contribution to the release of the Elementary Multiperspective Material Ontology (EMMO)\, one of the most significant open ontologies in materials science and engineering. \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Registration Details\nPlease register for this event here\, please note spaces are limited. \n  \n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				PSDI Project Shows How Physical Sciences Data Can Be Made Ready for AI\nPlease check out this recent article by Dr Matthew Partridge and Dr Aileen Day  \nPSDI Project Shows How Physical Sciences Data Can Be Made Ready for AI \n 
URL:https://www.psdi.ac.uk/event/ai-ready-data/
LOCATION:University of Southampton\, Highfield Campus\, Southampton\, Hampshire\, SO17 1BJ\, United Kingdom
CATEGORIES:Workshop
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DTSTART;VALUE=DATE:20261102
DTEND;VALUE=DATE:20261107
DTSTAMP:20260612T112932
CREATED:20260603T133859Z
LAST-MODIFIED:20260603T142225Z
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
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