Greg J. McInerny

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In order to attempt to understand the complexity inherent in nature, mathematical , statistical and computational techniques are increasingly being employed in the life sciences. In particular, the use and development of software tools is becoming vital for investigating scientific hypotheses, and a wide range of scientists are finding software development(More)
S oftware pervades every domain of science ( 1– 3), perhaps nowhere more decisively than in modeling. In key scientifi c areas of great societal importance, models and the software that implement them defi ne both how science is done and what science is done ( 4, 5). Across all science, this dependence has led to concerns around the need for open access to(More)
Visualisations and graphics are fundamental to studying complex subject matter. However, beyond acknowledging this value, scientists and science-policy programmes rarely consider how visualisations can enable discovery, create engaging and robust reporting, or support online resources. Producing accessible and unbiased visualisations from complicated,(More)
Aim Software use is ubiquitous in the species distribution modelling (SDM) domain; nearly every scientist working on SDM either uses or develops specialist SDM software; however, little is formally known about the prevalence or preference of one software over another. We seek to provide, for the first time, a 'snapshot' of SDM users, the methods they use(More)
As a participant, workshops are by far my favorite scientific event. Compared to conferences, the interactions can be more intense, discussions can be deeper, and the resulting collaborations are often stronger. Working with 10–30 attendees over a few days can lead to a more open and integrated event than a conference. At workshops, you are a participant in(More)
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