callforpapers

Call for Papers, Safety Science Special Issue on Learning from Incidents

Updated on 5 January 2016:

The timeline for our Safety Science special issue on Learning from Incidents has been extended as follows:

31 March 2016 – Submission deadline for papers
1 July 2016 – Authors receive reviewers’ comments
31 September – Revised manuscripts submitted
31 December – Authors receive reviewers’ comments on revised manuscripts
1 February – Authors receive decision on manuscripts
31 March 2017 – Editorial and order of manuscripts passed onto journal administrator
End of Q3 – special issue published

 

Neville Stanton, Allison Littlejohn and I are co-editing a special issue on Learning from Incident to be published in Safety Science.

Papers are due by 31 March 2016. Further details and instructions are below.

Do let us know if you are interested in submitting a paper. Help in circulating this call would be much appreciated.  We look forward to receiving submissions.

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

Overview

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 (updated on 5 January 2016)

 

31 March 2016 – Submission deadline for papers
1 July 2016 – Authors receive reviewers’ comments
31 September – Revised manuscripts submitted
31 December – Authors receive reviewers’ comments on revised manuscripts
1 February – Authors receive decision on manuscripts
31 March 2017 – Editorial and order of manuscripts passed onto journal administrator
End of Q3 – 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 . 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.

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