Upcoming PHASE events
Please check back here soon for details of upcoming events.
Links to upcoming agent-based modelling events and training
ESSA-BEHAVE Summer School 2022:
Agent-based Modelling for Social Scientists
29 August-9 September 2022
Lucchini Collegio, Brescia, Italy
This school aims to train students on agent-based modelling in NetLogo by theoretical and practical lectures, daily hands-on sessions, project presentations and counselling by experts.
Social Simulation Conference 2022
12-16 September 2022
University of Milan, Italy and Online
Hosted by the European Social Simulation Association this year’s special theme is “Social simulation after Covid-19 modelling“
Agent-based modelling for the self-learner
Agent-based modelling for social research
National Centre for Research Methods
Introduction to agent-based modelling
Complexity Explorer, Santa Fe Institute
Online course materials
Fundamentals of NetLogo
Complexity Explorer, Santa Fe Institute
Social Simulation Week Webinar:
Opportunities and challenges of modelling complex health behaviour
Thursday 17 September 2020
As part of Social Simulation Week 2020, hosted by ESSA and Behave Lab, PHASE hosted a webinar to discuss potential applications of ABM to address public health challenges and highlight key considerations when developing models of public health. Drawing on examples of ABM for adult social care and contact tracing, speakers examined issues such as model specification and obtaining suitable data for model calibration and sensitivity analysis, and discussed the role of cross-disciplinary partnerships involving health practitioners and decision makers in developing effective and useful models of public health and the ways in which PHASE aims to support these collaborations.
You can see videos of all the sessions from Social Simulation Week 2020 on the Behave Lab website.
Help! Public health needs ABM [2:17-16:22]
Prof. Richard Mitchell, University of Glasgow
In this brief talk, I will use the current Covid-19 pandemic to illustrate why public health desperately needs ABMs to help understand and tackle the complex interactions between people and their environment. These interactions are crucial for infectious disease and for the bigger challenge; non-infectious disease. I’ll consider why public health hasn’t used ABM much before now and explore the kinds of questions that could be asked and answered.
Help, all my mechanisms are missing [22:13-49.05]
Dr Jennifer Badham, Visiting Scholar, Queen’s University Belfast
In this talk, I will argue that a key barrier to widespread adoption of agent-based modelling in public health is that mechanisms are missing from major behaviour theories. A mechanism focus could also help bridge disciplinary gaps.
ABM for Social Care Policy [55:47-1:18:41]
Dr Eric Silverman and Dr Umberto Gostoli, University of Glasgow
In this talk, we will present a model of social care provision which we have been developing in the last three years, with the aim to show how ABM can help us to develop models of societies characterized by a complex interaction between demographic, epidemiological and economic factors. We will show how, even in a situation of scarce data, these kinds of models can still be a valuable tool for policy makers to test social and economic policies in order to assess spill-over effects and unintended consequences before these policies are implemented in the real world.
An agent-based model of COVID-19 and the effectiveness of smartphone-based contact tracing [1:23:40-1:52:54]
Dr Jonatan Almagor and Dr Stefano Picascia, University of Glasgow
Using an agent-based model we simulate the transmission of COVID-19 in a population of agents on an urban scale to assess the feasibility of a smartphone-based track-and-trace strategy to mitigate the COVID-19 epidemic.
The Population Health Agent-based Simulation nEtwork (PHASE) [1:53:36-2:10:30]
Prof. Laurence Moore, Network Director, University of Glasgow
This talk will provide an introduction to the network vision and aims, followed by discussion session about research priorities and network activities.