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UKRRIN Top Five: June 2024

21st June 2024

UKRRIN is governed by a Steering Committee which meets bi-monthly to discuss the activities and development of the network as a whole. Top Five updates from June’s Meeting:   Australian Rail Association The Australian Rail Association will be visiting Unipart Rail as part of a study tour in September. As part of this visit, colleagues […]

UKRRIN welcomes University of Surrey to its Digital Systems and Infrastructure Centres

07th June 2024

The UK Rail Research and Innovation Network (UKRRIN) is pleased to announce an expansion of network capabilities and expertise as University of Surrey is welcomed as a new academic member. Joining as partners of the Digital Systems and Infrastructure Centres, University of Surrey will bring in expertise from the Schools of Sustainability, Civil and Environmental […]

UKRRIN welcomes new academic members

05th June 2023

The UK Rail Research and Innovation Network (UKRRIN) has welcomed four new academic members into its network. University of Derby, Leeds University, Swansea University and University College London, join existing academic and industry partners in UKRRIN to enhance network capabilities, facilities, and expertise. University of Derby join as partner of the Digital Systems Centre (CEDS), […]

UKRRIN Top Five: April’s Items

08th May 2023

UKRRIN is governed by a Steering Committee which meets bi-monthly to discuss the activities and development of the network as a whole. Top Five updates from April’s Meeting:   UKRRIN at RIA Innovation Conference UKRRIN provided extensive support to RIA’s annual flagship innovation conference in late March with a range of speakers and a large exhibition […]

Rail PhD Studentship Coordination

11th April 2023

Introduction We are collecting information about rail-focussed PhD studentships at UKRRIN (UK Rail Research and Innovation Network) universities to enhance coordination between academia and industry. We are particularly keen to raise awareness about the work being undertaken by PhD students amongst a wider stakeholder audience to encourage collaboration. To help us with this, we would […]

CALL FOR PAPERS: DfT Data Science in Transport Conference

29th March 2023

Data Science in Transport Conference: Call for papers and input The Department for Transport’s Data Science Conference will take place on 24th May 2023 in London. The conference will: Showcase the latest data science innovations applicable to or using transport data Share methodological best practice Build links and foster a collaborative transport data science community across academia, Government and the […]

SPARK is changing

24th March 2023

Over the coming weeks, you will notice changes to the SPARK website, as it migrates to a new platform.   SPARK, the rail knowledge hub is managed by RSSB in partnership with UIC and was launched in 2011 as a key resource for the global rail industry to find information on rail research, capabilities, and […]

UKRRIN Top Five: February’s items

01st March 2023

UKRRIN is governed by a Steering Committee which meets bi-monthly to discuss the activities and development of the network as a whole. Top Five updates from February’s Meeting:   Steering Committee Membership: Two new members have joined the Committee in place of colleagues who have left their respective businesses: – Satnam Thiara, representing Network Rail – Andrew […]

ESRC WRDTP Collaborative Studentship – New technologies, travel modes and passenger needs: understanding and predicting the future of rail travel

14th February 2023

The University of Leeds is part of the ESRC White Rose Doctoral Training Partnership (WRDTP), forming a collaboration between the Universities of Leeds, Sheffield, York, Bradford, Sheffield Hallam, Hull and Manchester Metropolitan. These studentships are available in named Thematic Interdisciplinary Training Pathways on either a 1+3 or a +3 basis and can be held full-time […]

Low adhesion estimation through video image machine learning

31st January 2023

UKRRIN members RSSB and the University of Sheffield are collaborating to develop a tool using Artificial Intelligence to predict low adhesion conditions. Low adhesion costs GB rail in the order of £350 million each year. The causes of low adhesion have been the subject of much research over the years. This initiative further explores how […]

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