aichemy

Science in the City: An Evening of AI
2026-06-18 17:00 - 21:00 UTC
KEY DETAILS

DATE18 JUNE 2026 TIME17:00 – 21:00 COSTFREE

book now

EVENT LOCATION

THE SPINE BUILDING2 Paddington Village, Liverpool L7 3FA

Step 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

What you’ll gain:

Explore how AI is driving breakthroughs in science.

Engage directly with experts in Q&A sessions.

Celebrate and support our city’s research excellence.

No 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.

Evening Programme:

5:00 – 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.

Speakers

Professor Andy CooperUniversity of Liverpool

Professor Katie AtkinsonUniversity of Liverpool

Dr Alex BattyClatterbridge Cancer Centre

Dr Gabriella PizzutoUniversity of Liverpool

Accommodation and Travel

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.

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, The Spine Building and the recommended hotel.

Contact Details

For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk

The Organising Committee

AIchemy HubDr Ben Alston (University of Liverpool) Caroline Woods (University of Liverpool)

Gen AI In Chemistry Education
2026-07-21 09:00 - 17:00
KEY DETAILS

DATE21 JULY 2026 TIME09:00 – 17:00 COST£25 LIGHTNING TALK SUBMISSION DEADLINE1 MAY 2026 REGISTRATION DEADLINE3 JULY 2026

REGISTration Open

EVENT LOCATION

UNIVERSITY OF LIVERPOOLCentral Teaching Labs

This 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:

Practical 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.

AI 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.

Institutional 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.

Call for Lightning Talk Abstracts

We 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 May 2026.

Who Should Attend:

This 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.

What you’ll gain:

Gain insight into the current UK higher-education curriculum landscape for AI in chemistry

Understand how GenAI is being implemented across undergraduate and postgraduate taught courses, in both lectures and laboratories

Explore challenges, risks, and opportunities in real-world adoption

Develop ideas for new lab-based experiments and training using AI methods such as machine learning (ML), convolutional neural networks (CNNs), and Bayesian optimisation (BO)

Speakers– To be Announced

Contact Details

For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk

The Organising Committee

AIchemy 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

Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) Workshop
2026-09-01 09:00 - 2026-09-03 17:00
KEY DETAILS

DATE1 -3 SEPTEMBER 2026 TIME09:00 – 17:00 COST£75 – ACADEMIA £150 – INDUSTRY REGISTRATION DEADLINE14 AUGUST 2026

Apply Now

agenda

EVENT LOCATION

UNIVERSITY OF LIVERPOOLMaterials Innovation Factory, 51 Oxford St, Liverpool, L7 3NY

About the Workshop

The 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:

Basics of Python and cheminformatics

Automated descriptor generation from ChemDraw and CSV files

Data-driven and efficient chemical exploration for catalyst sampling

AI-driven optimization of reaction conditions

AI-driven catalyst discovery

Who Should Attend:

This 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.

Pre-Requisites:

To help you get the most from the workshop, please ensure the following are completed in advance:

Attendees must bring their own laptops to run the programs used during the workshop. Windows, macOS and Linux operating systems are supported.

Complete 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.

(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

How to apply

Places 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.

Accommodation and Travel

Please 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.

Airports

Liverpool 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.

Course Supervisors

Dr. 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)

Contact Details

For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk

The Organising Committee

AIchemy 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)

Winter School: Robotics and AI for Materials Chemistry 2026
2026-11-23 00:00 - 2026-11-27 23:59
KEY DETAILS

DATE23 – 27 NOVEMBER 26 ACADEMIC PARTICIPANTS£150 INDUSTRY PARTICIPANTS£300

APPLY HERE

agenda COMING SOON

EVENT LOCATION

Novotel Hotel, University of Liverpool Campus3 Paddington Village, Liverpool, L69 7ZD

The 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.

This Robotics and AI for Materials Chemistry Winter School will:

Provide essential skills in digital chemistry

Strengthen understanding of AI and machine learning, building on participants’ existing knowledge

Offer hands-on experience with key tools and techniques for automated, intelligent lab environments

Participants will explore a range of cutting-edge topics, including:

Digital twins for robotic chemists

Bayesian optimisation for chemical discovery

AI-driven robotic chemists

Robotic manipulation for lab automation

Simulation of robotic chemists

Computer vision-led chemistry

Multi-modal machine learning for science

Agentic AI-based discovery

Human-in-the-loop robotic discovery

After 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.

Provisional Programme – Coming Soon

Speakers – To be announced

Accommodation and Travel

Please 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.

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 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.

Airports:

Liverpool 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.

How to Apply:

Places 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.

Please note: all bookings are non-refundable.

Contact details:

For questions related to this event please contact the AIchemy project management team at info@aichemy.ac.uk.

The Organising Committee:

Alchemy 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
