Conservation interventions need to be implemented on the ground, so a range of people are required to make decisions. Decision-makers can be people like conservation practitioners, policy-makers, and stakeholders who could be affected by an intervention. This usually includes local residents, as well as people who make their living in the area, like fishers, farmers, hunters, and other businesses.
Since decision-making structures are complex and multi-layered, scientific evidence alone is not enough to guide the implementation of a conservation intervention. Researchers need to understand who’s involved in making decisions, who could be affected by the proposed intervention, and gain an appreciation of how local communities use and value their land. Often they’ll also need to find out what local communities think of particular species and habitats. Continue reading →
A search of almost any topic on Google Scholar promises to return tens of thousands of hits in less than a second. The first step in any research endeavour is to wade through the titanic amounts of articles available to become acquainted with the existing knowledge. For many people it’s one of the most dreadful and tedious parts of the scientific process.
But what if we could streamline/facilitate this step by automatizing parts of it? Automated content analysis (ACA) gives us the opportunity to do just that. ACA – a text-mining method that uses text-parsing and machine learning – is able to classify vast amounts of text into categories of named concepts. It can then quantify the frequency of those concepts and the relationships among them. Continue reading →
This post is an outcome of the ‘Maximising the Exposure of Your Research’ Workshop at the BES 2015 Annual Meeting in Edinburgh (UK). If you’re interested in joining us for our 2016 Annual Meeting in Liverpool (UK), you can find some more information and pre-register HERE.
In recent years there has been a significant increase in the number of academic articles published. At the same time, readers are changing how they find content, tending towards a point of entry at article level as opposed to journal level. These two factors mean that it is increasingly necessary for authors to make their articles easy for relevant readers to find. Search Engine Optimisation (SEO) is one of the best ways to do this.
While writing your paper, there are a few things that you can do to optimise it for search engines, such as Google Scholar. The tips below focus on three areas that are prioritised by search engines when looking for content. Following these tips will help you to maximise the exposure of your research. Continue reading →