Digital Rail Research
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Digital Rail Research
The page to come to for the latest thinking in railway research
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ACFM® | TSC Inspection Systems

ACFM® | TSC Inspection Systems | Digital Rail Research | Scoop.it
TSC Inspection Systems develop and manufacture Non Destructive Testing and Stress Measurement instrumentation. TSC is the home of StressProbe and ACFM technology.
Digital Rail 's insight:

This technique can reliably find small cracks, less than 2 mm without any surface preparation or paint removal, a major advantage

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Digital Rail 's curator insight, February 20, 2015 4:54 PM

This technique can reliably find small cracks, less than 2 mm without any surface preparation or paint removal, a major advantage

Digital Rail 's curator insight, April 9, 2015 2:33 PM

This would help control the oil by rail risk levels in the US

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German rail crash blamed on dispatcher 'playing mobile phone game'

German rail crash blamed on dispatcher 'playing mobile phone game' | Digital Rail Research | Scoop.it
A German railway dispatcher blamed for a train crash that killed 11 people was distracted by playing a mobile phone game at the time, prosecutors charged Tuesday, as a court ordered his arrest.
Digital Rail 's insight:
The blame game
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Big Data: inconspicuous, insidious, insightful and ubiquitous

Big Data: inconspicuous, insidious, insightful and ubiquitous | Digital Rail Research | Scoop.it
Big data has been over-hyped.
Digital Rail 's insight:

Big Data is becoming business as usual.

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Bath: Hacked CiC

Bath: Hacked CiC | Digital Rail Research | Scoop.it
We're an award-winning, joint council / community initiative that puts open data and smart thinking at the heart of our city.
Digital Rail 's insight:

Great ideas in a great place.

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Reliability through redundancy

Reliability through redundancy | Digital Rail Research | Scoop.it
Tradition can be a great thing. Most of us enjoy our traditional Christmas lunch and are amused by such quirky British traditions as Morris dancing, Gloucestershire cheese rolling and piping in the…
Digital Rail 's insight:

This approach would have avoided the Potters Bar and Grayrigg accidents.

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How to get the most from the Internet of Things

How to get the most from the Internet of Things | Digital Rail Research | Scoop.it
Huge volumes of data are collected and analyzed over time so that you can make long-term changes to improve performance and efficiency
Digital Rail 's insight:

Railways needs to embrace IoT and soon!

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Smarter trains: The platform for smarter cities,

Smarter trains: The platform for smarter cities, | Digital Rail Research | Scoop.it
London's smart train system allows railway engineers to have a better insight into the train lifecycle and condition of the tracks.
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IT industry needs people with emotional intelligence, says Network Rail CIO

IT industry needs people with emotional intelligence, says Network Rail CIO | Digital Rail Research | Scoop.it
As Network Rail’s third ‘Could IT be you?’ competition draws to a close, the company’s CIO explains why the project was launched.
Digital Rail 's insight:

This also applies to engineering generally

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CIRAS - CL - Shifting Safety Culture up a Gear (1)

CIRAS - CL - Shifting Safety Culture up a Gear (1) | Digital Rail Research | Scoop.it
CIRAS Confidential Reporting System. Have you got a health and safety concern? report a concern · Image of the front cover of the latest issue of The Reporter
Digital Rail 's insight:

I completely agree and think that we need to take on board what Prof Hollnagel is saying. Look at how the systems really work successfully i.e work as done and not work as imagined (by the designer), Use the best of what humans do well and stop blaming failures on human error.

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Gary Bamford's curator insight, December 10, 2015 9:57 AM

Maybe a point that should be taken up by all forms of risk management!

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Contracts Finder

Contracts Finder | Digital Rail Research | Scoop.it
Digital Rail 's insight:
Interesting request for bids: RSSB_1987 Investigating train accident risk relating to train operations and rolling stock failures, to improve industry risk management (T1101)
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Digital Railway Supplier's Autumn Event

Digital Railway Supplier's Autumn Event | Digital Rail Research | Scoop.it
This is the forth in the series of the Digital Railway Suppliers’ Conference with the last held in July of this year. We have made a firm commitment to engage with our suppliers collectively, to enable you to understand our challenges, and for us to understand your views. This is your chance to find out more about the Vision of Digital Railway Programme and how our plans are progressing since the previous conference, held in July.

hear about how, with input from industry stakeholders, we're d
Digital Rail 's insight:

The last event was great so this should be worth going to:

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Big Data: Statistical Inference and Machine Learning - Queensland University of Technology

Big Data: Statistical Inference and Machine Learning - Queensland University of Technology | Digital Rail Research | Scoop.it
Sign in
Register
FREE ONLINE COURSE
Big Data: Statistical Inference and
Digital Rail 's insight:
I think I will have a look at this
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Railway Systems Safety and Risk MSc - University of Huddersfield

Railway Systems Safety and Risk MSc - University of Huddersfield | Digital Rail Research | Scoop.it
Search our course pages for undergraduate, postgraduate and research courses at the University of Huddersfield
Digital Rail 's insight:

This looks very promising.

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'Smartifying' the world's busiest cities

'Smartifying' the world's busiest cities | Digital Rail Research | Scoop.it
With populations growing by the billion, smart technology is needed to cope with the strain on the cities of the future
Digital Rail 's insight:

Digital rail will play a big part

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Tensor Flow, Google’s AI Engine, Gains Traction Outside the Company | MIT Technology Review

Tensor Flow, Google’s AI Engine, Gains Traction Outside the Company | MIT Technology Review | Digital Rail Research | Scoop.it
Researchers outside Google are testing the software that the company uses to add artificial intelligence to many of its products.
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Major milestone for Doncaster High Speed Rail College plan

Major milestone for Doncaster High Speed Rail College plan | Digital Rail Research | Scoop.it
Plans to open the National College for High Speed Rail in Doncaster have taken another step forward with funding confirmed.
Digital Rail 's insight:

Looking forward to working with them

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Is the British Rail logo a design icon? - BBC News

Is the British Rail logo a design icon? - BBC News | Digital Rail Research | Scoop.it
A fundraising campaign is under way to publish the original design manual of one of the UK's most recognisable logos.
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Shift2Rail issues first open call for research proposals

Shift2Rail issues first open call for research proposals | Digital Rail Research | Scoop.it
EUROPE: The Shift2Rail Joint Undertaking issued its first open call on December 17, inviting proposals for a range of research projects expected to...
Digital Rail 's insight:

This will be an opportunity for Digital Rail 

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Special Issue: Learning from Incidents - Safety Science - Elsevier

Special Issue: Learning from Incidents - Safety Science - Elsevier | Digital Rail Research | Scoop.it
Special Issue: Learning from Incidents
Call for papers: Special issue of Safety Science on Learning from Incidents

Guest Editors
Professor Neville Stanton
University of Southampton
n.stanton@soton.ac.uk

Dr Anoush Margaryan
Glasgow Caledonian University
anoush.margaryan@gcu.ac.uk

Professor Allison Littlejohn
Open University
Allison.littlejohn@open.ac.uk

Learning from Incidents

The ability to learn from incidents it essential for safety in all organisations, industries, regulatory bodies and policy makers. Safety Science has a long history of innovations in theory, methodology, science and application. For example, accident causation models that first emerged in the early 1900s have since evolved to consider entire systems and emergent properties (e.g. Heinrich, 1931; Leveson, 2004; Perrow, 1984; Rasmussen, 1997; Reason, 1990). Similarly, methodologies have moved from focussing on tasks (Taylor, 1911) to entire systems and the constraints shaping behaviour (e.g. Vicente, 1999). However Learning from Incidents is yet to embrace theories and methods from the learning sciences. A new repertoire of theories, methods and instruments evolved from interdisciplinary perspectives is needed to Learn from Incidents effectively.

The aim of this special issue is to provide researchers and practitioners with an opportunity to present and discuss contemporary, forecasted, and required paradigm shifts to Learn from Incidents. We welcome submissions from all disciplines, including, but not restricted to: Adult and Organisational Learning, Computer Science, Engineering, Sociology, Industrial Psychology, Human Factors Engineering.

Manuscripts from any domain are welcomed on:

Reviews of state of the art of LfI
Whole of systems approaches to LfI
New methodologies for researching LfI
New instruments for measuring LfI
Inter-disciplinary insights into LfI
Case studies involving new concepts to LfI
Commentaries on LfI and the future for the Safety Science discipline
Reports on intervention studies into improving LfI
Approaches to facilitating and enhancing interactions between researchers, practitioners and policymakers in LfI 
Timeline

1st September 2015, Call for papers issued
1st February 2016, Submission deadline for receipt of papers
1st May 2016, Authors receive reviewers’ comments
1st August 2016, Revised manuscripts submitted
1st November 2016, Authors receive reviewers’ comments on revised manuscripts
1st December 2016, Authors receive decision on manuscripts
1st February 2017, Editorial and order of manuscripts passed onto journal administrator
Mid 2017, Special issue published
Instructions for authors

The deadline for receipt of papers is 1st February 2016, with a projected publication date of mid 2017.  All papers will be subjected to the standard peer-review procedures of the journal. Potential authors are requested to submit their paper for consideration to Professor Neville Stanton (n.stanton@soton.ac.uk), Dr Anoush Margaryan (anoush.margaryan@gcu.ac.uk), Professor Allison Littlejohn (Allison.littlejohn@open.ac.uk) prior to electronic submission so that the Guest Editors can ensure its scope and quality is suitable for the special issue.

Following approval, papers should be submitted online via the Elsevier Safety Science manuscript submission site (http://www.journals.elsevier.com/safety-science/). When specifying ‘Article Type’ authors should select ‘SI: Learning from Incidents”. Failure to do so will cause the papers to go unrecognised as belonging to the special issue.

Guidelines for authors can also be found on the Safety Science website: http://www.journals.elsevier.com/safety-science/
Digital Rail 's insight:

I will be submitting a paper concerning how we will learn not to have accidents in the future using simulation, Big Data and the digital railway.

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Industry and education must ‘adapt or die’ to the digital revolution - Innovisions conference

Industry and education must ‘adapt or die’ to the digital revolution - Innovisions conference | Digital Rail Research | Scoop.it
Organisations in all sectors will have to radically change their operational and business models if they are to survive the digital revolution, delegate...
Digital Rail 's insight:

This has to be a wake up call for the railway industry. There is so much disruptive technology out there that could affect our future!

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Leeds March of the Robots – Minecraft Party | Adam Clarke

Leeds March of the Robots – Minecraft Party | Adam Clarke | Digital Rail Research | Scoop.it
Digital Rail 's insight:

We can learn a lot from gaming

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Digital Rail 's curator insight, October 6, 2015 7:01 AM

The future of training

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Research and Markets: Remote Diagnostics and its Impact on the Rail Sector - Remote Diagnostics to Generate about $2.80 Billion in Revenue by 2020 | Business Wire

Research and Markets: Remote Diagnostics and its Impact on the Rail Sector - Remote Diagnostics to Generate about $2.80 Billion in Revenue by 2020 | Business Wire | Digital Rail Research | Scoop.it

remote Diagnostics to Generate about $2.80 Billion in Revenue by 2020

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