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  • Safeguarding the Nation’s Digital Memory: Bayesian Network modelling of digital preservation risks Martine J. Barons, Thais C. O. Fonseca, Hannah Merwood and David H. Underdown (Submitted, Proceedings of ECMI 2021 Consortium for Mathematics in Industry)
  • A decision support system for addressing food security in the UK Martine J. Barons, Thais C. O. Fonseca, Andy Davis and Jim Q. Smith (published 16/11/2021
  • Balancing the elicitation burden and the richness of expert input when quantifying discrete Bayesian Networks Martine J Barons, Steven Mascaro, Anca M Hanea 2021 (Risk Analysis Special issue on " Bayesian networks for risk analysis and decision-support") First published: 19 June 2021 here
  • Safeguarding the Nation’s Digital Memory: Towards a Bayesian Model of Digital Preservation Risk Martine J Barons, Sidhant Bhatia, Thais C O Fonseca, Alex Green, Stephen Krol, Hannah Merwood, Alec Mulinder, Sonia Ranade, Jim Q Smith, Tamara Thornhill, David H Underdown Archives and Records: The Journal of the Archives and Records Association Published online: 28 May 2021 Link
  • Strategies for the Use of Data and Algorithm Approaches in Railway Traffic Management Martine J Barons Mathematics in Industry Reports (ESGI130, 2017, Warwick University) Cambridge Open Engage doi:10.33774/miir-2021-f9x91 This content is a preprint and has not been peer-reviewed.
  • Brexit and food security: long-term implications for public health Martine J Barons, Willy Aspinall, Steve Brewer and Peter Crosskey 2021 BMJ Open Published on:
  • "Mastering another Language" - a case study in interdisciplinary teaching and learning -on food security across two countries and two universities Martine J Barons and Suzanne Kleve (In Press Transforming Teaching)
  • A structured expert judgement elicitation approach: how can it inform sound intervention decision making to support household food security? Martine J Barons and Sue Kleve 2021 Public Health Nutrition 1-27. doi:10.1017/S1368980021000525 Blog


  • 'The Do-Gooders and Scroungers': Examining Narratives of Foodbank Use in Online Local Press Coverage in the West Midlands, UK Catherine Price, Kayleigh Garthwaite, Andy Jolly and Martine Barons 2020; Journal of Poverty and Social Justice doi: Published online 18 June 2020
  • Anticipated impacts of Brexit scenarios on UK food prices and implications for policies on poverty and health: a structured expert judgement approach Martine J. Barons and Willy Aspinall BMJ Open 2020;10:e032376. doi:10.1136/bmjopen-2019-032376 arXiv Quartz LSEblog iNews
  • Elicitation of Structured Expert Judgement to estimate the probability of a major power system unreliability event Keith Bell, Tim Bedford, Abigail Colson Martine J. Barons, Simon French (Accepted conference paper for Conseil International des Grands Réseaux Electriques (CIGRE) Paris, France. August 2020


  • Assessment of the response of pollinator abundance to environmental pressures using structured expert elicitation. Martine J Barons, Anca M Hanea, Sophia K. Wright, Katherine C R Baldock, Lena Wilfert, David Chandler, Samik Datta, Jessica Fannon, Chris Hartfield, Andrew Lucas, Jeff Ollerton, Simon G. Potts and Norman L Carreck, Journal of Apicultural research (Published online: 02 Oct 2018) preprint Article
  • Proof and Uncertainty in Causal Claims. Barons, M.J. and Wilkerson, R.L. (2018).Exchanges: The Interdisciplinary Research Journal, v5, n2, pp72-89.June 2018 Retrieved from: 


  • Eliciting Probabilistic Judgements for Integrating Decision Support Systems. Barons, M. J., Wright, S. K. & Smith, J. Q. in Elicitation: The science and art of structuring judgement, Dias LC, Morton A, Quigley J (eds), Springer, New York, 2018 (Chapter 17)Springer


  • Coherent Frameworks for Statistical Inference serving Integrating Decision Support Systems Jim Q. Smith, Martine J. Barons, Manuele Leonelli. 2016 arXiv
  • A marked renewal process for the size of a honey bee colony Aihua Xia, Richard M. Huggins, Martine J. Barons, Lois Guilloit. 2016 arXiv


  • Decision focused inference on networked probabilistic systems: with applications to food security Jim Q. Smith, Martine J. Barons, Manuele Leonelli. JSM Proceedings 2015, Seattle, Washington: American Statistical Association. 3220-3233.Proceedings
  • Measures of dynamic balance under passive vertical excitation Neil D. Evans, Stana Zivanovic, Colin Caprani, Martine J. Barons. Conference Manuscript https://10.1016/j.ifacol.2015.10.180 9th IFAC Symposium on Biological and Medical Systems, (BMS 2015) Aug. 31 - Sept. 2, 2015 Berlin, Germany Programme
  • Fitness Predicts Long-Term Survival After a Cardiovascular Event: A prospective cohort study. Martine J. Barons, Sally Turner, Nicholas Parsons, Frances Griffiths, Hugh Bethell, Scott Weich, Margaret Thorogood. BMJ Open 2015 5 doi: 10.1136/bmjopen-2015-007772 fulltext


  • Dynamic Bayesian Networks for decision support and sugar food security Barons, M.J., Zhong, X., and Smith, J.Q. (2014) Technical report, University of Warwick CRiSM research report Paper No. 14-18. CRiSM Submitted to Applied Artificial Intelligence August 2014.
  • Matching patients to an intervention for back pain: classifying patients using a latent class approach Martine J. Barons PhD, Frances E. Griffiths MRCGP PhD, Nick Parsons PhD, Anca Alba PhD, Margaret Thorogood PhD, Graham F. Medley PhD and Sarah E. Lamb PhD DOI: 10.1111/jep.12115 Journal of Evaluation in Clinical Practice, 20 (2014) 544–550 ISSN 1365-2753. pdf

    Article first published online: 24 MAR 2014


  • A Comparison of Artificial Neural Network, Latent Class Analysis and Logistic Regression for Determining Which Patients Benefit from a Cognitive Behavioural Approach to Treatment for Non-Specific Low Back Pain. Martine J. Barons, Nick Parsons, Frances Griffiths, Margaret Thorogood. 04/2013; DOI:10.1109/CICARE.2013.6583061 In proceeding of: IEEE Symposium Series on Computational Intelligence, At Singapore, Volume: 2013 CICARE2013
  • PhD Thesis: "What is the added value of using non-linear models to explore complex healthcare datasets?" Martine J. Barons. Examined 25th June 2013. Warwick Research Archive Portal (WRAP) PhD Thesis