Course Details
This course is part of the CECAN Module for policy analysts and evaluators. The syllabus was developed to enhance skills nationally and internationally in the evaluation of complex policy and programmes. Agent-based modelling is a computational simulation method for understanding complex systems. An agent-based model is a computer model simulating
Intended Audience
Policy analysts, commissioners of evaluation, professional evaluators, social science postgraduate students and researchers.
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Learning Outcomes
By the end of this session, participants will have gained: 1. An understanding of the basics of agent-based modelling; 2. An understanding of how agent-based modelling can be used to model complex adaptive systems; 3. An understanding of how agent-based modelling can be used in policy analysis and evaluation.
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Reading List
Gilbert, N. (2008), Agent-Based Models, Quantitative Applications in the Social Sciences, Sage Publications, pp.153. Gilbert, N. and Troitzsch, K. (2005) Simulation for the Social Scientist, Oxford University Press. Squazzoni, F, Jager, W. and Edmonds B. (2014) Social Simulation: A Brief Overview, Social Science Computer Review, 32(3).
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Tutor Biographies
Dr Corinna Elsenbroich, is Senior Lecturer in the Department of Sociology (University of Surrey) and part of the CECAN team. Her research interests are in complexity social science, in particular methods to tackle complex causality. She teaches Evaluation Research and courses on Agent-based Modelling, Process Tracing and Qualitative Comparative Ana
Course Fees
Government / Commercial Sector: £200, Staff at Education / Charitable Institutions: £165, All Students: £130
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How to Book
Reserve your place by registering and paying via our Eventbrite page. CECAN Ltd is the commercial arm of the ESRC funded Centre for Evaluating Complexity across the Nexus (CECAN). It offers access to innovative policy evaluation approaches and methods to support decision makers.
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