Are you interested in antimicrobial coatings and the potential for their implementation to improve public health outcomes in mass transport environments? Join us at the BioEffective Surfaces for Transport Network Conference, where experts from across disciplines will share insights and innovations, explore the challenges and work to develop solutions for a safer, more hygienic future in transport.
The day will include:
Brief presentations from a range of speakers, more to be confirmed and so far including:
- Dr Ehsan Gazi - UK Government Defence Science and Technology Laboratories
- Andrew Turnbull - Northern Trains
- Prof Dimitrios Lamprou – Queen’s University Belfast
- Prof Fabrizio Scarpa – University of Bristol
- Dr Erik Cox - Gencoa
- Matteo Sghedoni and Dr Eleonora Marcolini - IRIS Ceramica
Breakout topics including:
- What’s stopping the transport industry from implementing antimicrobial materials?
- What are industry’s main challenges?
- What needs to happen now?
Activities including mapping of the research-development-implementation timeline and also key stakeholders, to improve understanding and inform the way forward.
There will also be lunch, networking time and the opportunity to display posters.
Target Outputs from the day are a combined white paper on the challenges and need for antimicrobial surfaces and coatings, and a policy narrative to inform future briefing papers.
Don't miss this opportunity to be at the forefront of innovation in transport hygiene and safety. Register now to be part of the conversation!
The BEST Network is a multidisciplinary community of UK scientists, engineers, technologists, industrialists, transport industry represetnatives and policy influencers, funded for 3 years by the Engineering and Physical Sciences Research Council (EPSRC). We aim to collaborate and contribute to the manufacture, design, testing and deployment of antimicrobial materials for mass transport, strengthening hygiene strategy with effective, evidence-based antimicrobial surface treatments and materials.
