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After looking in the NetLogo Modeling Commons (a resource for model access that can be found at ) he chose Gil (2012) as potentially suited to his purpose (and not having any feedback on its download page to suggest that there were any serious problems with it.) Despite being written in NetLogo 5, it worked straightaway in NetLogo 6.1.1 (although a “step by step” version also offered by Gil and documented in French would not – though an additional advantage of NetLogo is that older versions remain available and still run so use could have made use of that code if necessary.) This meant that as a modeller with a very small time involvement (but nonetheless a requirement to deliver research outputs) it seemed to the first author (Chattoe-Brown) that he would have to reuse an existing supply chain ABM (in NetLogo because that is the main language he uses) rather than build one from scratch. 2019) where most of the available funding had to be allocated to fieldwork. Most of the authors (The STREAMS Group) are involved in a research project about supply chains and substandard/falsified medicines in Africa (see, for example, Ackland et al.
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This note reports an experience of trying to do that and draws provisional conclusions from the case study (which can be supported or refuted by analysis of further cases in subsequent work). But for the “supply” of code to travel in that direction, at least some individuals have to elect for code reuse.
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(Coders always know more about their own code than they realise and therefore don’t always understand how to explain everything that is actually relevant.) Ultimately, it probably makes more sense if there is one well checked and somewhat general set of code for a particular area of modelling than a whole bunch of overlapping code of variable quality (which is what we tend to observe). This may disclose such things as bugs and potential efficiency improvements but also establishes whether the code and documentation is really accessible for general use or whether the original designers merely believe it is. Reused code has been checked by at least one other person. The complication arises because (like many phenomena) code reuse has social as well as individual benefits. This may happen because they are very fast (though not necessarily very accurate) coders, when existing code is impenetrable (either ineffectively documented or not documented at all) or when it is badly designed (so it cannot really be extended) and/or a long way from the use to which the researcher wants to put it. When should Agent-Base Modellers write their own code and when should they reuse or extend code that already exists? From a purely individual point of view, they should write their own code when, all things considered, it is quicker than reusing or extending existing code. Balira (National Institute for Medical Research, Mwanza, Tanzania), Dr Edmund Chattoe-Brown (School of Media, Communication and Sociology, University of Leicester), Professor Elizabeth David-Barrett (School of Law, Politics and Sociology, University of Sussex), Dr Martins Ekor (Department of Pharmacology, University of Cape Coast), Dr Heather Hamill (Department of Sociology, University of Oxford), PI: Professor Kate Hampshire (Department of Anthropology, University of Durham), Dr Gerry Mshana (National Institute for Medical Research, Mwanza, Tanzania), Dr Simon Mariwah (Department of Geography and Regional Planning, University of Cape Coast), Dr Adams Osman (University of Education Winneba), Dr Samuel Asiedu Owusu (Directorate of Research, Innovation and Consultancy, University of Cape Coast). By Edmund Chattoe-Brown, Alvaro Gil and The STREAMS Group 1ġ Professor Graeme Ackland (School of Physics and Astronomy, University of Edinburgh), Professor Fiifi Amoako Johnson (Department of Population and Health, University of Cape Coast), Dr Daniel Amoako-Sakyi (Department of Medical Biochemistry, University of Cape Coast), Dr Rebecca S.