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Institute of Hazard, Risk and Resilience (IHRR) Themed Mini-Conference: 

IHRR Mini-Conference Graphic. Words of conference with graphics below it representing models

Presenting and communicating models and uncertainty with respect to hazard, risk and resilience

Monday 3rd November 2025

  • 14:00 – 16:00 - Engineering E005 & Teams (Register here for Teams Online)

  • 16:00 - 17:00 - networking in the IHRR Hub, W246

Summary: The Institute of Hazard, Risk and Resilience (IHRR) welcomes you to this University-wide event, which will explore the presentation of and communication of models, data, and uncertainty across disciplines and audiences in the context of hazard, risk, and resilience. It will consider quantitative models, visualisations, narratives, and artistic interpretations and how they are presented and shape understanding and decision-making, as well as public trust in science. The talks and discussions will be designed to be accessible and engaging for an interdisciplinary audience, encouraging dialogue between colleagues from the sciences, social sciences, and arts and humanities on how uncertainty is represented, perceived, and translated into action.

14:00 – 14:10: Welcome and scene setting by Bruce Malamud, Director, IHRR 

14:10 – 15:00: 6 minute presentations by panel speakers: 

15:00 – 15:20: Q&A amongst panel speakers (Host: TBC)

15:20 – 16:00: All participants: Q&A to Panel, General Discussion and Comments(Host: TBC)

16:00 – 17:00: Coffee and Tea (IHRR Research Hub Room, Room W246--first room on left after you enter the IHRR/Geography building) 

Suggested Reading

  • Copernicus climate atlas. Available at: https://atlas.climate.copernicus.eu/atlas: This dashboard visualises the climate projections of the latest generation of climate models and is an example of how the Copernicus program communicates uncertainty.
  • Doyle, E.E., Johnston, D.M., Smith, R. and Paton, D. (2019) Communicating model uncertainty for natural hazards: A qualitative systematic thematic review. International Journal of Disaster Risk Reduction, 33, pp. 449–476. https://doi.org/10.1016/j.ijdrr.2018.10.023
  • Dhungana, A., Doyle, E.E., Prasanna, R. and McDonald, G. (2025) From scientific models to decisions: exploring uncertainty communication gaps between scientists and decision-makers. Environment Systems and Decisions45(3). https://doi.org/10.1007/s10669-025-10039-w
  • Emery, A.K. (2014) How to visualise qualitative data [Online] Available at: https://depictdatastudio.com/how-to-visualize-qualitative-data/  [Accessed 29 October 2025]
  • Fathollahzadeh, A., Salmani, I., Morowatisharifabad, M.A., Khajehaminian, M.R., Babaie, J. and Fallahzadeh, H., 2023. Models and components in disaster risk communication: A systematic literature review. Journal of education and health promotion12(1), 87 https://doi.org/10.4103/jehp.jehp_277_22 
  • Freihardt, J. and Buchs, R., 2024. Framing effects in disaster risk communication: the case of coastal erosion in the United States. Environmental Hazards23(3), 287-305, https://doi.org/10.1080/17477891.2023.2280691
  • Spiegelhalter, D., Pearson, M. and Short, I. (2011) Visualising uncertainty about the future’ Science, 333(6048), pp. 1393–1400. DOI: https://doi.org/10.1126/science.1191181
  • Taylor, F.E., Millington, J.D., Jacob, E., Malamud, B.D. and Pelling, M., 2020. Messy maps: Qualitative GIS representations of resilience. Landscape and Urban Planning198, 103771, https://doi.org/10.1016/j.landurbplan.2020.103771
  • The IPCC (2022) Policy Summary, https://doi:10.1017/9781009325844.001. [This report includes good examples of how scientific findings are summarised and communicated to policymakers. It is quite large (300+ pages), but looking at a few sections may provide some useful insights.]
  • The R Graph Gallery (2025) Homepage [Online] Available at: https://www.r-graph-gallery.com/  [Accessed 29 October 2025]. This is an excellent source for how data/models might be visualised in many different ways.
  • Wilke, CO (2021) Fundamentals of Data visualisation [Online] Available at: https://clauswilke.com/dataviz/  [Accessed 29 October 2025]
  • van der Bles, A.M., van der Linden, S., Freeman, A.L.J., Mitchell, J., Galvao, A.B., Zaval, L. and Spiegelhalter, D.J. (2019) Communicating uncertainty about facts, numbers and science, Royal Society Open Science, 6(5), 181870. https://doi.org/10.1098/rsos.181870 
  • Verdinelli S and Scagnoli NI (2013) Data Display in Qualitative Research. International Journal of Qualitative Methods 12: 359-381. [Available online at: https://journals.sagepub.com/doi/pdf/10.1177/160940691301200117]