CPC/CG Webinar - Modelling health to support interventions: Outputs from Wessex DIET | Dr Dianna Smith Youtube. 2023
This CPC-CG Webinar took place on Thursday 11th May at 12:00 UK Time. Dr Dianna Smith, Associate Professor at the University of Southampton gave a talk entitled, "Modelling health to support interventions: Outputs from Wessex DIET". Interventions to support the reduction of health inequalities in populations are a central focus of public health research. Though there are often data about health outcomes - diet, obesity, poor mental health - at an aggregate population level, there is less available in local areas. This lack of local-level data can create challenges in identifying areas where there are wider health inequalities, enabling resources to be appropriately targeted spatially. Further, the lack of baseline data on health can be problematic when monitoring the impact of interventions. In the Wessex DIET project, we are developing a toolkit to support local authorities and third sector organisations in collecting data on the impact of food aid interventions. As part of the work, we developed small-area estimates of adult weight, diet quality, food insecurity and wellbeing for neighbourhoods (Lower Super Output Areas) in England. In the seminar the methods used and challenges with data and modelling will be discussed as part of the ongoing project.

Agent Based Modelling for Social Research- Introduction Youtube. 2022
In this video, Professor Jakub Bijak introduces the online materials for this short course on Agent-Based Modelling for social research, outlining the share a novel approach from building, validating and analysing agent-based simulation models, developed as a part of a four-year programme based on agent-based population studies funded by the European Research Council.

New agent-based modelling course materials available ESRC Centre for Population Change. 2021

Introduction to Modelling Part 2 Youtube. 2021
In this video, Dr Martin Hinsch focuses on modelling, talking about complexity, chaos, criticality and emergence.

Introduction to Modelling Part 1 Youtube. 2021
In this video, Dr Martin Hinsch gives a brief general introduction to modelling, first looking at predictive models and then explanatory models.

CPC Webinar: Keynote lecture on agent-based modelling | Alexia Fürnkranz-Prskawetz Youtube. 2020
CPC Webinar given by Alexia Fürnkranz-Prskawetz, deputy director of the Vienna Institute of Demography at the Austrian Academy of Sciences, on Tuesday 3rd November 2020. This presentation was also the keynote lecture for the "Short course on Agent-based modelling for social research", run by the project team "Bayesian Agent-based Population Studies". "An agent-based modelling approach to account for social interactions in demography ". Demographic behaviour cannot be explained and understood in isolation from the social network one is linked to (e.g. Åberg 2003; Montgomery and Casterline 1996). These networks may consist of family members, friends and other peer groups which will have an impact through social learning and social influence on each other. However, the formalisation of such network effects to explain individual demographic behaviour lags behind the empirical evidence or is often simplified in terms of macro-level diffusion mechanisms that do not allow understanding the mechanisms of social network effects from the bottom up. Agent-based models allow to integrate such network effects into models of individual demographic decision processes and to build up the macro-level demographic patterns (e.g. aggregate fertility rates, marriage rates, etc.) from the bottom up.

CPC Seminar: Modelling Socio-Economic Differences in the Mortality of Danish Males Using a New Affluence Index | Andrew Cairns Youtube. 2016
We investigate and model how the mortality of Danish males aged 55-94 has changed over the period 1985-2012. We divide the population into ten socio-economic subgroups using a new measure of affluence that combines wealth and income reported on the Statistics Denmark national register database. The affluence index, in combination with sub-group lockdown at age 67, is shown to provide consistent sub-group rankings based on crude death rates across all ages and over all years. This improves significantly on previous studies that have focused on the impact of education or income on life expectancy or age-standardised mortality rates. The gap between the most and least affluent is confirmed to be widest at younger ages and has widened over time. We introduce a new multi-population mortality model that fits the historical mortality data very well and captures the essential character of the raw data. The model generates smoothed death rates that allow us to work with a larger number of smaller sub-groups than might be considered realistic when working with raw data. The model produces plausible projections of death rates that preserve the subgroup rankings at all ages. It also satisfies reasonableness criteria related to the term structure of correlations across ages and over time through consideration of future death and survival rates.