糖心TV

2025

• Risk, uncertainty, decision and stakeholders - best practice for sustainable outcomes Martine J Barons Proc. of the 33rd European Safety and Reliability & 33rd Society for Risk Analysis Europe Conference Edited by Eirik Bjorheim Abrahamsen, Terje Aven, Frederic Bouder, Roger Flage, Marja Yl篓onen. ISBN: 981-973-0000-00-0 :: doi: 10.3850/981-973-0000-00-0 output Accepted 06/03/2025
• Reporting Standards for Bayesian Network Modelling. Barons, M. J.; Hanea, A. M.;Mascaro, S.;Woodberry, O. Entropy 2025, volume 27, issue 69. Accepted 23 December 2024, published 15 January 2025

2024

• Integrating human behaviour and epidemiological modelling: unlocking the remaining challenges Edward M. Hill, Matthew Ryan, David Haw, Mark P. Lynch, Ruth McCabe, Alice E. Milne, Matthew S. Turner, Kavita Vedhara, Fanqi Zeng, Martine J Barons, Emily J. Nixon, Stephen Parnell, Kirsty J. Bolton Accepted November 2024 Mathematics in Medical and Life Sciences; Behavioural Epidemiology Special Issue.
  
• A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks Martine J. Barons, Lael E. Walsh, Edward E. Salakpi and Linda Nichols Agriculture Volume 14 Issue 3 Special Issue Sustainable Pest Management in Agriculture
• Online Training Courses on Expert Knowledge Elicitation (EKE) Ullrika Sahlin, Julio 脕lvarez S谩nchez, Martine Barons, Fergus Bolger, Abigail Colson, Lynn Frewer, Anca Hanea, Andy Hart, Tina Nane, Maarten Nauta, Kevin Wilson EFSA Supporting Publications Volume 21, Issue 3 First published: 05 March 2024

2023

• Where the Bee Sucks -- A Dynamic Bayesian Network Approach to Decision Support for Pollinator Abundance Strategies Martine J. Barons and Aditi Shenvi Journal of the Royal Statistical Society Series A: Statistics in Society

2022

• Communicating Climate Risk: A Toolkit Walton, J.L., Levontin, P., Barons, M.J., Workman, M., Mackie, E., and Kleineberg, J. (London, UK: AU4DM, 2022). This Toolkit is licensed under a CC BY-NC-SA 4.0 licence. 2nd edition, October 2022 isbn: 978-1-912802-07-4 doi: doi.org/10.33774/coe-2021-mrx1f Also: bit.ly/CommunicatingClimateRisk
• Safeguarding the Nation鈥檚 Digital Memory: Bayesian Network modelling of digital preservation risks Martine J. Barons, Thais C. O. Fonseca, Hannah Merwood and David H. Underdown [submitted versionLink opens in a new window ](Accepted Jan 2022, Proceedings of ECMI 2021 Consortium for Mathematics in Industry Pages 501-508)  2022 of Decision Analysis Practice Award

2021

• A decision support system for addressing food security in the UK Martine J. Barons, Thais C. O. Fonseca, Andy Davis and Jim Q. Smith Journal of the Royal Statistical Society: Series A (Statistics in Society), 185, 447– 470.2021
• 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 " Volume 42 Issue 6 June 2022)
• Safeguarding the Nation鈥檚 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   2022 of Decision Analysis Practice Award
• Strategies for the Use of Data and Algorithm Approaches in Railway Traffic Management Martine J Barons (ESGI130, 2017, 糖心TV 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 on: 25 February 2021
• "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? Sue Kleve and Martine J Barons 2021 24(8) 1-27. doi:10.1017/S1368980021000525

2020

• '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.   
• 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 R茅seaux Electriques (CIGRE) Paris, France. August 2020

• Visualising Uncertainty A Short Introduction Polina Levontin and Jo Lindsay Walton With additional contributions from Lisa Aufegger, Martine J. Barons, Edward Barons, Simon French, Jeremie Houssineau, Jana Kleineberg, Marissa McBride, and Jim Q. Smith, (London, UK: AU4DM, 2020) isbn: 978-1-912802-05-0

2019

•  Report of the FARM food poverty workshop held at the University of 糖心TV on 02 May 2019, Barons, M. J., Garthwaite, K., Jolly, A. & Price, C. 2019 Food Action & Research Midlands. Available here.Link opens in a new window

2018

• 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)  
• 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:  
• Minimum food equipment standard for food security Barons, M.J & Kleve, S (2018). Available here.Link opens in a new window

2017

• Eliciting Probabilistic Judgements for Integrating Decision Support Systems Martine J. Barons, Sophia K. Wright and Jim Q. Smith. Chapter 17 in Elicitation: The Science and Art of Structuring Judgement Editors Luis C. Dias, Alec Morton, John Quigley. International Series in Operations Research & Management Science Volume 261 Springer International Publishing, Switzerland. ISBN: 978-3-319-65051-7 doi:

2016

• Coherent Frameworks for Statistical Inference serving Integrating Decision Support Systems Jim Q. Smith, Martine J. Barons, Manuele Leonelli. 2016

• A marked renewal process for the size of a honey bee colony Aihua Xia, Richard M. Huggins, Martine J. Barons, Lois Guilloit. 2016

2015

• Decision focused inference on networked probabilistic systems: with applications to food security Jim Q. Smith, Martine J. Barons, Manuele Leonelli. , Seattle, Washington: American Statistical Association. 3220-3233.
• Measures of dynamic balance under passive vertical excitation Neil D. Evans, Stana Zivanovic, Colin Caprani, Martine J. Barons. Conference Manuscript h 9th IFAC Symposium on Biological and Medical Systems, (BMS 2015) Aug. 31 - Sept. 2, 2015 Berlin, Germany
• 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

2014

• Dynamic Bayesian Networks for decision support and sugar food security Barons, M.J., Zhong, X., and Smith, J.Q. (2014) Technical report, University of 糖心TV CRiSM research report Paper No. 14-18. 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.

  Article first published online: 24 MAR 2014

2013

• 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
• PhD Thesis: "What is the added value of using non-linear models to explore complex healthcare datasets?" Martine J. Barons. Examined 25th June 2013. 糖心TV Research Archive Portal (WRAP)