Spatiotemporal modelling is ubiquitous in science and engineering, playing a central role in the understanding of the global challenges of today, for example climate-change, ecology, epidemiology and economic and social security.

The diversity has led to the use of application-specific methodologies, compelling researchers to employ tools which are considered “the norm” in their particular field. This in turn has limited the exposure to other, possibly more appropriate, approaches which may also be utilized in a given context.

This IAS workshop will provide the opportunity to explore the way space-time data is inferred from across a range of disciplines. The aim is to encourage cross-pollination of ideas, the adoption of new methodologies across disciplines, the diffusion of expertise into new areas of interest and new collaborations.

The workshop is designed to strengthen inter-departmental links in this exciting field of research and create a support framework for researchers with a common interest in spatiotemporal modelling and applications.

The one-day event will be divided into four sessions with each session containing three to four speakers presenting their work in 20 mins.  Five minutes will be allocated for questions after each talk.

Topics include, but are not limited to,

• Environmental Sciences: Glaciology, Sea-level rise, Remote sensing, Soil moisture, Pollution spread, Vegetation, Biodiversity, Ecology, Earth sciences
• Social Studies: Global policy, Economic security, Politics, Conflict prediction, Social networks
• Health Sciences: Epidemiology, Disease modelling and mapping, Public health

The workshop will include coffee breaks and free lunch.

Register

You must register to attend this event.  Places are limited.  Please book on the Eventbrite page.

Conveners

Andrew Zammit Mangion, Research Assistant in Geographical Sciences
Li Chen, Lecturer in Statistics

Anyone requiring further information, or interested in attending or giving a presentation is asked to please contact Andrew a.zammitmangion@bristol.ac.uk (ext. 14128) or Li li.chen@bristol.ac.uk (ext. 87991).

This event is supported by the Institute of Advanced Studies.