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.
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:
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 firstname.lastname@example.org
Dr Anoush Margaryan Glasgow Caledonian University email@example.com
Professor Allison Littlejohn Open University Allison.firstname.lastname@example.org
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 (email@example.com), Dr Anoush Margaryan (firstname.lastname@example.org), Professor Allison Littlejohn (Allison.email@example.com) 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.
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