Decision-making during public health crises, such as pandemics or epidemics, often relies on evidence from mathematical models produced by public health authorities. In such crises, e.g. the recent COVID-19 pandemic, government and public health authorities in many countries were assisted by academic researchers. However, the practices of modelling for decision-making are different from that...
Partial differential equations (PDEs) underpin mathematical models across science and engineering, yet their complexity presents a significant barrier to students and researchers outside mathematics. In this talk, I will present VisualPDE (a free, open-source, browser-based platform for real-time interactive simulation of PDE systems) and discuss its role as both a pedagogical tool and a...
Quantitatively understanding a research field is important for funding allocation, teaching and curriculum development, research organisation, and scientific communication. One way to achieve this understanding is through bibliometric analysis, which involves using statistical methods to examine patterns in scientific publication metadata and citation networks. We present two case studies that...
“Science is not finished until it is communicated”. This quote attributed to Sir Mark Walport, the UKs Chief Scientist in 2013, has become a rallying cry for the science communication (SciComm) community and those involved in informal STEM education, to encourage researchers to communicate their science beyond the academe.
While there are no precise numbers, it is clear that more scientists,...
As the role of mathematical biology in society continues to expand, so too does the importance of reflecting on and understanding the field itself. In this minisymposium, we bring together meta-perspectives on mathematical biology that examine how the field interacts with both the scientific community and broader society. Our four speakers will address key interfaces of these interactions:...
