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DTSTART;TZID=UTC:20260716T090000
DTEND;TZID=UTC:20260716T170000
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CREATED:20260505T135703Z
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UID:9330-1784192400-1784221200@aichemy.ac.uk
SUMMARY:Transitioning from FAIR to AI Ready Data in the Physical Sciences
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE16 JULY 2026 TIME10:00 – 16:00 COSTFREE TALK SUBMISSION DEADLINE12 JUNE 2026 REGISTRATION DEADLINE30 JUNE 2026 \n\n\n\nbook now \n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF SOUTHAMPTONHighfield Campus\, Southampton\, SO17 1BJ \n\n\n\n\n\n\n\n\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.This 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. \n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\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. \n\n\n\n\n\nCall for Lightning Talks \n\n\n\nWe invite submissions for short lightning talks exploring the challenges\, opportunities\, and practical experiences involved in creating AI-ready datasets within the physical sciences. This 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.  Topics may include\, but are not limited to: \n\n\n\n\nExperiences in developing or curating AI-ready datasets\n\n\n\nChallenges in preparing FAIR data for AI and machine learning use\n\n\n\nData quality\, metadata\, interoperability\, and standardisation\n\n\n\nBenchmarking\, validation\, and reproducibilityInfrastructure\, tooling\, and workflow development\n\n\n\nCommunity needs\, open challenges\, and proposed solutions\n\n\n\n\nDuring registration\, participants will be able to indicate their interest in presenting a lightning talk. Talk Submission Deadline: 12th June The organising team will review submissions and notify successful applicants by 26th June 2026. \n\n\n\n\n\nInvited Speakers\n\n\n\n\n\n\n\n\n\nDr Matthew PartridgeUniversity of Southampton\n\n\n\n\n\nDr Aileen DayUniversity of Southampton\n\n\n\n\n\nDr Nessa CarsonAstraZeneca\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubPSDIDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Samantha Pearman-KanzaNicola KnightVictoria Hooper
URL:https://aichemy.ac.uk/event/transitioning-from-fair-to-ai-ready-data-in-the-physical-sciences/
CATEGORIES:Symposium
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DTSTART;TZID=UTC:20260721T090000
DTEND;TZID=UTC:20260721T170000
DTSTAMP:20260531T123210
CREATED:20260206T072607Z
LAST-MODIFIED:20260511T104014Z
UID:7121-1784624400-1784653200@aichemy.ac.uk
SUMMARY:Gen AI In Chemistry Education
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE21 JULY 2026 TIME09:00 – 17:00 COSTFREE LIGHTNING TALK SUBMISSION DEADLINE1 JUNE 2026 REGISTRATION DEADLINE3 JULY 2026 \n\n\n\nREGISTration Open\n\n\n\nView Agenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LIVERPOOLCentral Teaching Labs \n\n\n\n\n\n\n\n\nThis UK national symposium brings together chemistry educators\, students\, and policy leads to accelerate the integration of Generative AI (GenAI) methods in chemistry education. Building on last year’s event\, the focus moves decisively beyond abstract debate toward classroom-ready practice\, shared resources\, and cross-institutional learning.Aligned with the AIchemy Hub mission\, the workshop will advance the UK-wide conversation through three interconnected themes that reflect real teaching\, learning\, and institutional needs: \n\n\n\nPractical implementation of GenAI in chemistry teaching and laboratoriesExplore how AI can be meaningfully embedded into undergraduate teaching and laboratory practice. Sessions will focus on the co-design of AI-integrated experiments\, inclusive laboratory tools\, and transferable teaching resources. Participants will contribute to shaping a shared repository of AI-enabled laboratory and assessment activities. \n\n\n\nAI in assessment\, feedback\, and curriculum designExamine how AI can act as a co-pilot for educators\, supporting assessment design\, feedback generation\, curriculum review\, and bias reduction. This theme supports the development of shared tools and best practice to help bridge the AI–chemistry skills gap for both staff and students. \n\n\n\nInstitutional strategy\, policy\, and ethics grounded in real practiceEngage with institution-level strategies and ethical frameworks for the responsible use of GenAI in chemistry education. By comparing approaches across UK universities\, this strand will highlight shared principles\, practical challenges\, and transferable exemplars to support ethical implementation in teaching and assessment. \n\n\n\n\n\n\n\nCall for Lightning Talk Abstracts \n\n\n\nWe invite submissions for short lightning talks that showcase practical and innovative uses of AI in chemistry education. This is an opportunity to share your practice\, ideas\, and lessons learned with colleagues from across the UK\, and to contribute to a growing national conversation on how AI is shaping chemistry teaching and learning. We particularly welcome abstracts featuring case studies from teaching practice\, AI-enabled laboratory experiments\, assessment and feedback approaches\, curriculum design initiatives\, and student–staff co-created projects.During registration\, you will be able to indicate your interest in giving a lightning talk and submit a short abstract\, after which the organising team will be in touch with further details. The deadline for lightning talk submissions is 1 June 2026. \n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is aimed at academics working in chemistry with an interest in teaching and education\, as well as teachers and staff from colleges and secondary schools who want to better understand future university pathways for their students. It will also be valuable for anyone seeking insight into how artificial intelligence is shaping the next generation of chemistry education across the UK. \n\n\n\nWhat you’ll gain: \n\n\n\n\nGain insight into the current UK higher-education curriculum landscape for AI in chemistry\n\n\n\nUnderstand how GenAI is being implemented across undergraduate and postgraduate taught courses\, in both lectures and laboratories\n\n\n\nExplore challenges\, risks\, and opportunities in real-world adoption\n\n\n\nDevelop ideas for new lab-based experiments and training using AI methods such as machine learning (ML)\, convolutional neural networks (CNNs)\, and Bayesian optimisation (BO)\n\n\n\n\n\n\nSpeakers\n\n\n\n\n\nDr. Ghada RabahNC State University\n\n\n\n\n\nDr. Jason SonnenbergOhio State University\n\n\n\n\n\nDr. Peter AlstonBPP University\n\n\n\n\n\nProf. Kathryn CowtonUniversity of York\n\n\n\n\n\n\n\nDr. Rebecca JonesImperial College London\n\n\n\n\n\nDr. Benji Fenech-Salerno\,Imperial College London\n\n\n\n\n\nDr. Denise HoughUniversity of Glasgow\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nContact Details\n\n\n\nFor questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk \n\n\n\n\n\nThe Organising Committee\n\n\n\nAIchemy HubUniversity of WarwickUniversity of GlasgowDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr. Chris Mellor (Imperial)Aysel Sarzosa Llerena (Imperial)Tom RitchieDr Dani PearsonDr Ciorsdaidh Watts
URL:https://aichemy.ac.uk/event/gen-ai-in-chemistry-education/
CATEGORIES:Symposium
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