Events and training

Upcoming PHASE events

Please check back here soon for details of upcoming events.

Links to upcoming agent-based modelling events and training

Agent-based modelling for policy analysis

02 March 2021
CECAN Ltd CPD Course
Tutor: Dr Corinna Elsenbroich

Live online training

Social Simulation FesT 2021

15-20 March 2021
European Social Simulation Association

Call for proposals now open

Agent-based Modelling for Social Scientists

19-23 April 2021
Behave Lab Online Spring School 2021

Register by 31 January 2021

Planning an event around complexity in population health or agent-based modelling? Please send the details to info@phasenetwork.org and we will add it here.

Online training opportunities

Agent-based modelling for the self-learner

Jen Badham
Online tutorial

Introduction to agent-based modelling

Complexity Explorer, Santa Fe Institute
Online course materials

Fundamentals of NetLogo

Complexity Explorer, Santa Fe Institute
Online tutorial

Past Events

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.