An Overview of Agent Based Modelling

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University of Essex Colchester Campus

Colchester

CO4 3SQ

United Kingdom

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Many public sector organisations face challenges with making the most of their data and are missing opportunities to be more effective. This data analytics training course is aimed at organisations from the public sector, and is a free course to allow employees to obtain the relevant skills required in using data. No prior knowledge is required.

Agent Based Modelling (ABM) is a computational modelling approach in which we build simulations of social and policy processes in an attempt to understand better those processes. ABM has been used by researchers, Professor Vania Sena and Professor Abdel Salhi, from the Business and Local Government Data Research Centre to produce a simulation model to understand the drivers of growth on the High Street of Colchester. This is just one of many ways that ABM can be used to assist the public sector.

In this session Dr Peter Barbrook-Johnson, from the Policy Studies Institute at the University of Westminster, will provide attendees with a basic understanding of ABM, and then allow attendees to explore the NetLogo modelling software for themselves with several short exercises, to enable them to begin putting their knowledge into practice.

Attendees will then be given the opportunity to network, with lunch provided.

There are two more events in the “Empowering the Public Sector: Delving into Data Analytics” series:

Thursday 12th January (PM): Predictive modelling: Shifting from reaction to prevention

Friday 13th January (AM): Data Linkage Techniques (GIS)

By registering on this page you are registering for the “Overview of Agent Based Modelling” session only. If you would like to register for the whole series please follow the link below:

https://publicsectortraining_course.eventbrite.co.uk

Please note that this training course is open to members of public sector organisations only.

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University of Essex Colchester Campus

Colchester

CO4 3SQ

United Kingdom

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