Tipping Points Conference: Modelling Social Problems and Health (Durham, September 13-14 2012)

Institute of Hazard, Risk and Resilience Presents
Tipping Points Conference: Modelling Social Problems and Health
September 13 – 14
Arthur Holmes Lecture Theatre (CG91), Dept of Chemistry
Durham University

This conference focuses on realistic modelling of social problems and health. We will present and discuss health problems of concern within society today together with mathematical and statistical models, which may be useful predictive tools for deriving strategies that practitioners may use. Emphasis of the workshop will be placed on actual health issues that are a huge financial burden to governments and taxpayers, such as smoking, alcoholism, substance abuse and heart problems.

Lectures will be given on mathematical and statistical methods by experts from the Universities of Bologna, Durham, Manchester, Strathclyde and Turin within the context of health problems. A key feature of the workshop are lectures by practitioners from government-sponsored bodies like FRESH (smoke-free North East), and NEPHO (North East Public Health Observatory), together with guests from Volterra Consulting, Rinicare, the Wolfson Research Institute, the NIBHI (Northwest Institute for BioHealth Informatics), and the Universities of Lancaster and Manchester.

Limited seating is available. To register for the conference please email the IHRR with name and affiliation by 5 September. For more information about this event visit the Tipping Points web site.

About Centre for Medical Humanities

Centre for Medical Humanities
This entry was posted in Conferences and tagged , , . Bookmark the permalink.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s