Why repetition is good for science

‘Avoid repetition’. Most scientists had this command drummed into their heads early in their career. Science writing should be devoid of repetitive words and sentences. I had to include a preface in my PhD thesis to warn examiners of impending repetition…because my thesis chapters were published/submitted studies from the same system and with somewhat similar sampling methods.

Sure, thoughtless repetition of words and sentences does not make enjoyable reading in any discipline. But repetition of ideas and concepts is essential to storytelling and building memories. So when it comes to science communication, repetition is key. Continue reading

What the ‘venomous bees’ story tells us about science communication

Last week, most of the mainstream Australian news media reported on a University of Melbourne press release about a new study from researchers in the Department of Pharmacology. The study analysed data from Australian public hospital admissions and death records from venomous bites and stings over the period 2001-2013.

All the media stories sent the same message, launching off the popular international myth that Australia has the most venomous creatures on Earth. Finally, this study had evidence to prove that Australia’s bees and wasps were more deadly than our snakes or spiders!

Native spider-hunting wasp (Pompilidae) dragging a paralysed spider across our dirty floor.
Native Australian spider-hunting wasp (Pompilidae) dragging a paralysed spider across our dirty floor.

Technically, the media stories were accurate, and the data in the study did show such a trend (in simplified terms). But this is another great example of how using the generic term for a whole taxonomic group, e.g. ‘bees’, can be seriously misleading. Continue reading

Conservation triage: clarity or confusion?

Triage_Wikipedia.jpeg

A guest post by Ian Lunt on the importance of clear communication for conservation science.

What do you see when we talk about triage? A spreadsheet or a corpse?

Triage is one of the most contentious topics in conservation science. It asks the questions: Which species should we save? Which species should we abandon?

Or maybe it doesn’t. That depends on who you talk to. When we talk about triage, we talk about different things. And our audience may hear different things again. Continue reading

The dangers of separating science and environment

Does the natural world have any relevance to modern science? Of course it does; but sometimes it seems like that’s not the case. This is a myth perpetuated directly and indirectly through media, policy decisions, academic disciplines, even some science engagement initiatives: that the natural world is somehow separate from science.

Read the rest of my piece published today in Ensia magazine.

© Manu Saunders 2015

Ecosystem services: myth or reality?

Ever wondered how you get sucked into clicking on topical headlines (here are some great tips for creating those headlines)? Do you question how you know so much about Miley’s personal life, when you don’t even like her music? This is how journalists and entertainment media work – whether classy or tabloid, they know how to tap into human psyche and emotional values to get their story out.

This is a useful tool rarely taught in traditional science education: the key to effective public engagement and communication of research and evidence is in understanding what the public values and how they interpret things. (This can also help when doing research.) Continue reading

Data, not just for scientists

Early last year I wrote a post on ecology and mathematics that was inspired by an online discussion happening at the time. Although comprehensive advanced maths skills are not essential to being an influential or inspiring ecologist, a good level of mathematical knowledge and understanding of statistical analysis is definitely necessary to create honest science and communicate the importance of your work to others.

But it’s not just ecologists who need mathematical common sense. Anyone who deals with, or is interested in science needs to understand the ambiguity of an average, or the difference between a regression and a correlation. In fact, anyone who cares about the society they live in should be aware how deeply statistics and data now influence the way we live – policies and decisions on anything from what product choices you find in retail stores to how much tax you pay are all based on data.

Why does this matter to us? Well, if those data are a bit dodgy, or haven’t been analysed and presented appropriately, problems arise. And when these kinds of data misrepresentations are used to fuel public opinion or inform government policy, there can be serious impacts on communities, individuals and ecosystems. Continue reading