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Agent-based modelling to predict policy outcomes: A food waste recycling example

Abstract:

Optimising policy choices to steer social/economic systems efficiently towards desirable outcomes is challenging. The inter-dependent nature of many elements of society and the economy means that policies designed to promote one particular aspect often have secondary, unintended, effects. In order to make rational decisions, methodologies and tools to assist the development of intuition in this complex world are needed. One approach is the use of agent-based models. These have the ability to ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.envsci.2018.05.011

Authors


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Role:
Author
ORCID:
0000-0001-6387-4766
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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
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Name:
Economic and Social Research Council Centre for the Evaluation of Complexity Across the Nexus (CECAN)
Grant:
ES/N012550/1
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/H021450/1
Publisher:
Elsevier
Journal:
Environmental Science & Policy More from this journal
Volume:
87
Pages:
85-91
Publication date:
2018-06-06
Acceptance date:
2018-05-15
DOI:
EISSN:
1873-6416
ISSN:
1462-9011
Keywords:
Pubs id:
pubs:859094
UUID:
uuid:f7b95ec7-7775-47da-8dbd-3039d2c37fef
Local pid:
pubs:859094
Source identifiers:
859094
Deposit date:
2018-07-02

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