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DTSTART;TZID=UTC:20260602T090000
DTEND;TZID=UTC:20260602T170000
DTSTAMP:20260526T091931
CREATED:20260220T114907Z
LAST-MODIFIED:20260526T091529Z
UID:7844-1780390800-1780419600@aichemy.ac.uk
SUMMARY:ECR Exchange: Scotland 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE2 JUNE 2026 TIME09:00 – 17:00 COSTFREE ABSTRACT SUBMISSION DEADLINE5 MAY 2026 REGISTRATION DEADLINE22 MAY 2026 \n\n\n\nSold out\n\n\n\nView Agenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF STRATHCLYDETechnology and Innovation Centre\, 99 George Street\,  Glasgow\, G1 1RD \n\n\n\n\n\n\n\n\nThe AIchemy ECR Exchange is primarily aimed at Early Career Researchers across the UK\, including PhD students and postdoctoral researchers working at the intersection of AI and Chemistry. While Scotland-focused\, the event welcomes participants from further afield who are keen to contribute to and engage with a growing research community. This Exchange is designed to connect emerging researchers\, create space for meaningful networking\, and encourage open knowledge sharing. By bringing together ECRs working across disciplines\, the event aims to spark new collaborations and lay the groundwork for future collaboration opportunities.Through engagement with industry speakers and partners\, attendees will gain insight into real-world challenges and translational pathways\, helping to shape and focus their research and future career development. \n\n\n\n\n\n\n\nCall for Lightning Talk Abstracts \n\n\n\nWe invite submissions of oral and poster abstracts from researchers working across all areas at the intersection of AI and Chemistry\, including interdisciplinary and applied research. This is an opportunity for ECR’s\, PhD students and postdoctoral researchers to showcase their work to a focused audience of peers\, academic leaders\, and industry representatives working at the AI and chemistry interface. Selected applicants will be invited to deliver an oral presentation as part of the main programme\, providing a platform to share their research\, receive feedback\, and spark potential collaborations. There will also be the opportunity to present a poster\, creating additional space for discussion\, networking\, and deeper engagement with attendees. Please note: Deadline for Submissions has now passed \n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThe AIchemy ECR Exchange is primarily aimed at Early Career Researchers\, including: \n\n\n\n\nPhD students\n\n\n\nPostdoctoral researchers\n\n\n\nEarly Career Independent Academic\n\n\n\n\nThe event is relevant but not limited to those interested in the application or development of AI for accelerated chemistry and materials discovery. Participation is open to researchers from across the UK who are keen to collaborate and engage with Scotland’s research community. \n\n\n\nWhat you’ll gain: \n\n\n\n\nOpportunities to present and discuss their research\n\n\n\nDedicated networking to encourage future collaborations\n\n\n\nInsight from industry speakers on real-world challenges\n\n\n\nExposure to potential pathways for research impact and funding\n\n\n\n\n\n\nInvited Speakers\n\n\n\n\n\n\n\n\n\nDr Katerina VrizaPrincipal Scientist at GSK\n\n\n\n\n\nDr Joanne CookFormulation Manager at Unilever\n\n\n\n\n\nDr Laia Vila-NadalUniversity of Glasgow\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 StrathclydeDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Tahereh NematiaramDr Yashar Moshfeghi
URL:https://aichemy.ac.uk/event/ecr-exchange-scotland-2026/
CATEGORIES:Symposium
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260606T000000
DTEND;TZID=UTC:20260607T235959
DTSTAMP:20260526T091931
CREATED:20260515T151112Z
LAST-MODIFIED:20260515T151422Z
UID:9620-1780704000-1780876799@aichemy.ac.uk
SUMMARY:The Great Exihibition Road Festival 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE6-7 June 2026 TIME12.00 – 18.00 COSTFREE \n\n\n\nREGISTER Here\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nExhibition Road\, Great Exhibition Road Festival/Marquee – Prince’s GardensSouth Kensington Campus \n\n\n\n\n\n\n\n\nThe Great Exhibition Road Festival is a free annual celebration of science and the arts each summer in South Kensington.  \n\n\n\nCome visit our Candy Chemistry booth in the Family Fun Zone at the Great Exhibition Road Festival! \n\n\n\nJoin researchers from Imperial’s Departments of Chemical Engineering\, Chemistry\, and Computing to explore molecular structure using colourful edible models. Use marshmallows\, toothpicks and multicoloured gummies to build molecular structures\, then rotate them and see if you can make two structures that are mirror images of each other. \n\n\n\nDiscover why understanding molecular structure is essential and how AI helps scientists predict and design molecules that shape the world around us. \n\n\n\nJust like our left and right hands\, molecules may exist in left-handed and right-handed forms that look similar but behave very differently. Changing a molecule’s “handedness” (or chirality) can completely alter its properties\, from fragrance to pharmaceutical activity.
URL:https://aichemy.ac.uk/event/the-great-exihibition-road-festival/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260618T170000
DTEND;TZID=UTC:20260618T210000
DTSTAMP:20260526T091931
CREATED:20260407T072353Z
LAST-MODIFIED:20260407T072355Z
UID:8110-1781802000-1781816400@aichemy.ac.uk
SUMMARY:Science in the City: An Evening of AI
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE18 JUNE 2026 TIME17:00 – 21:00 COSTFREE \n\n\n\nbook now\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nTHE SPINE BUILDING2 Paddington Village\, Liverpool L7 3FA \n\n\n\n\n\n\n\n\nStep into the world of AI and see how it’s shaping science\, healthcare\, and innovation across Liverpool and the UK. From groundbreaking research at the University of Liverpool to real-world applications in our city region\, this event brings science to life for a community that takes pride in Liverpool’s innovation\, collaboration\, and world-class research. Meet researchers and take part in discussions with experts\, ask your questions\, share your ideas\, and see how AI is being used responsibly to make a positive impact. This event is open to everyone\, whether you’re a researcher\, city resident\, alumni or just curious about how AI is shaping the future. Enjoy a welcoming reception before and after the event\, the perfect time to meet fellow attendees\, spark conversations\, and celebrate Liverpool’s thriving research community.Please Note: Registration to this event is essential \n\n\n\n\n\n\n\nWhat you’ll gain: \n\n\n\n\nExplore how AI is driving breakthroughs in science.\n\n\n\nEngage directly with experts in Q&A sessions.\n\n\n\nCelebrate and support our city’s research excellence.\n\n\n\n\nNo prior experience in AI is required\, just curiosity and a desire to be part of the talent\, dedication\, and pride that Liverpool brings to the forefront of scientific discovery. \n\n\n\n\n\n\n\nEvening Programme: \n\n\n\n5:00 – 6:00pm | Arrival & Welcome ReceptionJoin us for a relaxed welcome with refreshments. Meet fellow attendees and start the conversation in an informal setting overlooking Liverpool’s vibrant skyline.6:00 – 8:00pm | AI Across the Sciences – Speaker Sessions & DiscussionHear from leading voices in AI and scientific research as they explore how artificial intelligence is advancing materials chemistry\, drug discovery\, healthcare\, and more. Each session will include opportunities for questions and audience interaction.8:00 – 9:00pm | Conversations & Community ReceptionContinue the discussion over refreshments. Connect with researchers\, alumni\, and partners\, and be part of the growing AI and science community shaping Liverpool’s future. \n\n\n\n\n\nSpeakers\n\n\n\n\n\nProfessor Andy CooperUniversity of Liverpool\n\n\n\n\n\nProfessor Katie AtkinsonUniversity of Liverpool\n\n\n\n\n\nDr Alex BattyClatterbridge Cancer Centre\n\n\n\n\n\nDr Gabriella PizzutoUniversity of Liverpool\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University\, The Spine Building and the recommended hotel. \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 HubDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)
URL:https://aichemy.ac.uk/event/science-in-the-city-an-evening-of-ai/
CATEGORIES:Symposium
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BEGIN:VEVENT
DTSTART;TZID=UTC:20260716T090000
DTEND;TZID=UTC:20260716T170000
DTSTAMP:20260526T091931
CREATED:20260505T135703Z
LAST-MODIFIED:20260519T140000Z
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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BEGIN:VEVENT
DTSTART;TZID=UTC:20260721T090000
DTEND;TZID=UTC:20260721T170000
DTSTAMP:20260526T091931
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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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260901T090000
DTEND;TZID=UTC:20260903T170000
DTSTAMP:20260526T091931
CREATED:20260313T125151Z
LAST-MODIFIED:20260424T100655Z
UID:8245-1788253200-1788454800@aichemy.ac.uk
SUMMARY:Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) Workshop
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE1 -3 SEPTEMBER 2026 TIME09:00 – 17:00 COST£75 – ACADEMIA £150 – INDUSTRY REGISTRATION DEADLINE26 JUNE 2026 \n\n\n\nApply Now\n\n\n\nagenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LIVERPOOLMaterials Innovation Factory\, 51 Oxford St\, Liverpool\, L7 3NY \n\n\n\n\n\n\n\n\nAbout the Workshop\n\n\n\nThe Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) workshop held at University of Liverpool offers a practical guide to different AI techniques that can be applied to accelerate or complement research in homogeneous catalysis. It is especially recommended for experimental and computational chemists with basic or no Python programming experience. The classes aim to provide these researchers with ready-to-use workflows that they can introduce into their routine research tasks. Some of the protocols covered include: \n\n\n\n\nBasics of Python and cheminformatics\n\n\n\nAutomated descriptor generation from ChemDraw and CSV files\n\n\n\nData-driven and efficient chemical exploration for catalyst sampling\n\n\n\nAI-driven optimization of reaction conditions\n\n\n\nAI-driven catalyst discovery\n\n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is aimed at experimental and computational chemists working in homogeneous catalysis with little or no experience in Python. The workshop is suitable for the following career stages: PhD students\, postdoctoral researchers and Early Career Academics. \n\n\n\n\n\n\n\nPre-Requisites: \n\n\n\nTo help you get the most from the workshop\, please ensure the following are completed in advance: \n\n\n\n\nAttendees must bring their own laptops to run the programs used during the workshop. Windows\, macOS and Linux operating systems are supported.\n\n\n\nComplete a preliminary setup to install the required Python environments. Instructions will be provided a few weeks before the workshop and should take 30-60 minutes to complete.\n\n\n\n(Optional) Share custom problems in advance that could be included in the problem-solving sessions. This will allow the workshop to focus on topics that are most relevant to the audience\n\n\n\n\n\n\nHow to apply\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 26th June 2026 and decisions will be given to applicants by 10th July 2026.Please note: all bookings are non-refundable. \n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the ChemAICat Workshop.We are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities.A social networking event will be hosted on one evening (day to be confirmed) during the school and is included in the registration.For those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University.Liverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.Manchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options. \n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse Supervisors\n\n\n\nDr. Jamie Cadge (University of Bath) \n\n\n\nDr. Ruben Laplaza (IIQ\, University of Seville-CSIC) \n\n\n\nDr. Thijs Stuyver (PSL University) \n\n\n\nDr. Juan V. Alegre-Requena (ISQCH\, University of Zaragoza-CSIC) \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 LiverpoolCourse SupervisorsDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Jean-Francois AymeDr. Jamie Cadge (University of Bath)Dr. Ruben Laplaza (IIQ\, University of Seville-CSIC)Dr. Thijs Stuyver (PSL University)Dr. Juan V. Alegre-Requena (ISQCH\, University of Zaragoza-CSIC)
URL:https://aichemy.ac.uk/event/chemical-artificial-intelligence-in-homogeneous-catalysis-chemaicat/
CATEGORIES:Symposium
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20260914T000000
DTEND;TZID=UTC:20260916T235959
DTSTAMP:20260526T091931
CREATED:20260512T131430Z
LAST-MODIFIED:20260518T055340Z
UID:9541-1789344000-1789603199@aichemy.ac.uk
SUMMARY:Data Intensive Science School
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE14 – 16 SEPTEMBER 26 ACADEMIC PARTICIPANTS£75 INDUSTRY PARTICIPANTS£150 \n\n\n\nAPPLY HERE\n\n\n\n agenda COMING SOON\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUniversity of Liverpool CampusRendall Building\, Liverpool\, L69 7WW \n\n\n\n\n\n\n\n\nJoin AIchemy Hub and LIV.INNO for an intensive hands-on Data Science School designed to equip researchers\, students\, and innovators with practical skills at the intersection of AI\, scientific computing\, and open-source research.This interdisciplinary programme brings together experts from academia and industry to deliver workshops and talks covering modern data science workflows\, scalable computing\, machine learning\, agentic AI systems\, scientific software development\, and research reproducibility.Participants will gain practical experience using cutting-edge tools and frameworks while exploring how AI and data-driven approaches are transforming scientific discovery.The school combines hands-on workshops\, interactive tutorials\, and expert-led talks focused on real-world scientific and data-intensive applications. \n\n\n\n\n\nWho should apply\n\n\n\nThis school is designed for: \n\n\n\n\nPhD students and Early Career Researchers\n\n\n\nData scientists and computational researchers\n\n\n\nScientists interested in AI and machine learning\n\n\n\nResearchers working with large or complex datasets\n\n\n\nAnyone interested in modern open-source scientific computing\n\n\n\n\nWhat you’ll gain\n\n\n\nParticipants will: \n\n\n\n\nGain practical experience with modern data science tools \n\n\n\nLearn directly from experts in AI and computational science \n\n\n\nBuild skills in scalable computing and scientific software development \n\n\n\nExplore emerging trends in agentic AI and open-source science \n\n\n\nNetwork with researchers across disciplines\n\n\n\n\n\n\nProvisional Programme \n\n\n\n\nApache Spark Workshop (4 hours) – Learn scalable data processing and distributed computing techniques for handling large scientific datasets.\n\n\n\nMachine Learning: Data Collection & Preparatio (4 hours) – Explore the foundations of building robust ML pipelines\, from data acquisition to preprocessing and feature engineering.\n\n\n\nAgentic AI for Data Analysis (1 hour talk) Discover how autonomous AI agents are reshaping data analysis\, scientific workflows\, and research productivity.\n\n\n\nGit Workshop (2 hours) Develop essential version control skills for collaborative coding\, reproducible research\, and software development.\n\n\n\nOpen Source Science (1 hour talk) Examine the growing importance of open-source ecosystems in accelerating scientific innovation and collaboration.\n\n\n\nPyAutoFit Workshop (2 hours) Introduction to probabilistic modelling and automated model fitting using PyAutoFit for scientific applications.\n\n\n\nPublishing Code (2 hours) Learn best practices for sharing\, documenting\, packaging\, and publishing scientific software and research code.\n\n\n\nReal World Challenges Session (2 hours) – Apply your skills to practical scientific and data-driven problems inspired by current research challenges.\n\n\n\nHow Not to Make NumPy Slow (2 hours) Improve performance and efficiency in scientific Python workflows through optimisation strategies and vectorised computation.\n\n\n\n\n\n\nSpeakers & Trainers – To be announced\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the Data Science School. \n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nA social networking event will be hosted on one evening during the school and is included in the registration. \n\n\n\nFor those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports:\n\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.\n\n\n\nManchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options.\n\n\n\n\n\n\n\n\nHow to Apply:\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 3rd July 2026 and decisions will be given to applicants by 10th July 2026. \n\n\n\nPlease note: all bookings are non-refundable. \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\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubLIV.INNODr. Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr. Alex HillNaomi Smith
URL:https://aichemy.ac.uk/event/data-intensive-science-school/
CATEGORIES:Training School
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UID:8963-1790154000-1790182800@aichemy.ac.uk
SUMMARY:Demystifying Agentic AI & AI Agents Workshop
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23 SEPTEMBER 2026 TIME09:00 – 17:00 COST£25 REGISTRATION DEADLINE11 SEPTEMBER 2026 \n\n\n\nbook now\n\n\n\nView Agenda\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nUNIVERSITY OF LEEDSDepartment of Chemistry\, Woodhouse Lane\, Leeds\, LS2 9JT \n\n\n\n\n\n\n\n\nJoin us for this one day workshop and unlock the potential of AI agents and retrieval-augmented generation (RAG) in chemical science. This interactive\, hands-on workshop is designed to bring together researchers from academia and industry to explore how emerging AI approaches can transform chemical research and innovation. Whether you are new to these technologies or already experimenting with them\, this event will provide both practical skills and a collaborative space to shape future applications. \n\n\n\n\n\n\n\nWhy attend? \n\n\n\nParticipants will gain: \n\n\n\n\nHands-on experience with RAG models and agentic AI systems\, guided by experts\n\n\n\nA practical understanding of real-world challenges when applying these tools to chemistry\n\n\n\nOpportunities to collaborate across disciplines\, connecting early-career researchers\, academics\, and industry professionals\n\n\n\nThe chance to co-develop ideas and proposals with clear industrial relevance\n\n\n\n\n\n\n\n\nWho Should Attend: \n\n\n\nThis workshop is open to researchers across academia and industry who are interested in applying AI to chemical science.We particularly encourage: \n\n\n\n\nPhD students\n\n\n\nPostdoctoral researchers\n\n\n\nEarly Career Independent Academic\n\n\n\nPrincipal Investigators and industry professionals to join strategic discussions shaping future challenges and collaborations\n\n\n\n\nWhat you’ll gain: \n\n\n\nThe day combines practical training with collaborative innovation: \n\n\n\n\nA hands-on RAG workshop\, delivered by Data Revival\n\n\n\nA hackathon session focused on building AI agents for chemistry\n\n\n\nA sandpit session for PIs and industry to define challenges\, methodologies\, and collaborative opportunities\n\n\n\nStructured discussions to develop clear\, proposal-ready ideas with defined outcomes and teams\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 LeedsDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Professor Bao Nguyen
URL:https://aichemy.ac.uk/event/demystifying-agentic-ai-ai-agents-workshop/
CATEGORIES:Symposium
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UID:7897-1795392000-1795823999@aichemy.ac.uk
SUMMARY:Winter School: Robotics and AI for Materials Chemistry 2026
DESCRIPTION:KEY DETAILS\n\n\n\n\nDATE23 – 27 NOVEMBER 26 ACADEMIC PARTICIPANTS£150 INDUSTRY PARTICIPANTS£300 \n\n\n\nAPPLY HERE\n\n\n\n agenda COMING SOON\n\n\n\n\n\n\nEVENT LOCATION\n\n\n\n\nNovotel Hotel\, University of Liverpool Campus3 Paddington Village\, Liverpool\, L69 7ZD \n\n\n\n\n\n\n\n\nThe Robotics and AI for Materials Chemistry Winter School is a five-day intensive training programme focused on digital and automated chemistry\, robotic systems\, and AI-driven scientific discovery. Hosted at the University of Liverpool\, the school is designed for PhD students and early-career researchers\, or those new to digital chemistry and AI\, and who want to build their capabilities in this rapidly evolving field. A strong working knowledge of Python is required to fully benefit from the practical sessions and technical content. \n\n\n\nThis Robotics and AI for Materials Chemistry Winter School will: \n\n\n\n\nProvide essential skills in digital chemistry\n\n\n\nStrengthen understanding of AI and machine learning\, building on participants’ existing knowledge\n\n\n\nOffer hands-on experience with key tools and techniques for automated\, intelligent lab environments\n\n\n\n\nParticipants will explore a range of cutting-edge topics\, including: \n\n\n\n\nDigital twins for robotic chemists\n\n\n\nBayesian optimisation for chemical discovery\n\n\n\nAI-driven robotic chemists\n\n\n\nRobotic manipulation for lab automation\n\n\n\nSimulation of robotic chemists\n\n\n\nComputer vision-led chemistry\n\n\n\nMulti-modal machine learning for science\n\n\n\nAgentic AI-based discovery\n\n\n\nHuman-in-the-loop robotic discovery\n\n\n\n\nAfter a hugely successful 2025 Winter School\, we’re delighted to bring it back for 2026. Take a look at last year’s programme and highlights to see what to expect. \n\n\n\n\n\nProvisional Programme – Coming Soon\n\n\n\n\n\nSpeakers – More to be announced\n\n\n\n\n\nProf. Michael MistryUniversity of Edinburgh\n\n\n\n\n\nDr. Lauren Ye SeolUniversity College London\n\n\n\n\n\nProf. Andi ZhangUniversity of Warwick\n\n\n\n\n\nDr. Chenghao LiuCaltech\n\n\n\n\n\n\n\nAlexandra GessnerAstraZeneca\n\n\n\n\n\nProf. Simos GerasimouUniversity of York\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAccommodation and Travel\n\n\n\nPlease note that the registration fee does not include accommodation\, travel or subsistence. Participants are responsible for arranging their own accommodation and transport during the Winter School. \n\n\n\nWe are happy to recommend the Novotel Liverpool Paddington Village\, a modern hotel conveniently located within walking distance of the University of Liverpool campus. This hotel offers comfortable rooms\, breakfast options and easy access to local amenities. \n\n\n\nA social networking event will be hosted on one evening during the school and is included in the registration. \n\n\n\nFor those seeking alternative options\, Liverpool offers a wide range of hotels\, serviced apartments\, and budget accommodations within easy reach of the University. \n\n\n\nLiverpool is well-connected by rail\, with Liverpool Lime Street Station approximately a 10-minute walk from the University campus. For those travelling by car\, parking is available at the Paddington Village Car Park\, located close to the University and the recommended hotel. \n\n\n\nAirports:\n\n\n\n\nLiverpool John Lennon Airport (LPL) – Around 30 minutes from the University by taxi or public transport. The airport offers flights to many UK and European destinations.\n\n\n\nManchester Airport (MAN) – Around 1 hour by train or car\, with direct rail connections to Liverpool Lime Street. This airport provides a wide range of international flight options.\n\n\n\n\n\n\n\n\nHow to Apply:\n\n\n\nPlaces are limited and to ensure a balanced mix of expertise and perspectives we are asking applicants to apply. As demand is expected to be high\, we ask all interested participants to complete the application form by 24th August 2026 and decisions will be given to applicants by 31st October 2026. \n\n\n\nPlease note: all bookings are non-refundable. \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\n\n\n\nThe Organising Committee:\n\n\n\nAlchemy HubUniversity of LiverpoolDr. Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)Dr Gabriella PizzutoDr Xenofon EvangelopoulosProf. Alessandro TroisiMinh CaoDr Mengjia ZhuDr Xin Yang
URL:https://aichemy.ac.uk/event/winter-school-robotics-and-ai-for-materials-chemistry-2026/
CATEGORIES:Training School
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