OK, here’s a little taste of what I usually do, rather than some random ramblings… I have a PhD student who is running enzyme-linked immunosorbent assays, or “ELISAs” to the initiated. This is a standard technique for measuring (in a semi-quantitative way) the amount of a given substance in a sample. Basically (and this is a pretty basic description), you stick an antigen to a surface (like the bottom of a plastic tray) and then add an antibody that sticks to the antigen. The antibody has an enzyme stuck to it and when you add the substance of interest the enzyme catalyses a reaction that causes a change in the intensity of a colour. You can shine a light through the sample to see how much the colour has changed and that gives you an idea about the concentration of your sample.Read More »
One quick trick to increase visibility and citations of research papers
Since I’m “young” (whatever that means) I sometimes get asked to advise on how to disseminate research outputs through new-fangled doohickies like “the social media” (like writing click-baity headlines). This came up in a School Management Group meeting today, in the context of trying to increase visibility and citation rates for papers published by our faculty. It was something that I was quite interested in, so I spent about an hour doing some quick literature searches and then implementing some of what I found. Here’s the gist:Read More »
Tweeting over the Great Firewall
Wow, six months without a post is the longest I have neglected the blog for a while! I’ve got a couple of posts to write now that the summer is over, but I thought I would start with something that was a bit of a challenge for me over the summer. I spent a couple of weeks in Beijing in August, including five days attending the International Congress on Ecology (INTECOL). Usually, I like to try to promote the work that is going on at conferences and contribute to the general online science community by live-tweeting. The only trouble is that in China Twitter is banned… I came up with two solutions:
Solution 1: VPN
I used a virtual private network to bypass the firewall. That worked pretty well, and while VyperVPN cost about $12 for a month it gave me regular access to the web for the duration of my stay in China. Not bad value. However, part of my reason for going to China in the first place was to exchange ideas with Chinese researchers, and that’s tough if they can’t see what you are tweeting.
Solution 2: Weibo
My second solution, then, was to take to Chinese social media to try to communicate. There is a fair amount of guidance on Twitter and conferences, but I couldn’t find anything on Weibo and conferences. Also, Weibo is very much Chinese (as opposed to global) and so there wasn’t much hope of me communicating in the local language. Still, I tried my best and punted most of my first day of tweets (in English, unfortunately, and one as an experiment in Chinese via Google Translate) out through Weibo as well.
The results were not that surprising… I got a bit of interest on the Twitter feed (interestingly, many many bot accounts, which has never happened before), but very little on the Weibo feed. In fact, I got absolutely no interaction whatsoever. The Twitter feed was completely out of sync with the rest of the planet (or so it seemed), but at least a few people both saw and understood them!
So, what I learned here is that social media is tough to crack in China, even when trying to use local tools. It’s also tough to sign up for Weibo because the authentication uses Chinese mobile phone numbers… Aside from that, the hashtags are a little different (note the “#” at the beginning as well as the end of the hashtag above) and I really never got to grips with finding profiles of people who might be interested and trying to add them to “Weibos”. Has anybody else had any success? Are there academics using both Weibo and Twitter in their social media arsenal?
PS: If you are interested, here’s a quick run down of the conference via my tweets and another from another attendee.
Help us understand mimicry!
I have written about mimicry before, describing why most mimics are imperfect and how some mimics imitate not only the appearance of other animals but also their sounds and behaviour. Now, I need your help with an ambitious experiment to test theories about the evolution of mimicry. Most people know that there are harmless animals that have yellow and black stripes to look like stinging bees and wasps. But did you know that there are many thousands of such species, all with different degrees of “bee-ness” or “waspiness”? The new experiment is designed to compare 56 harmless hoverflies with 42 wasps and bees to measure how similar they are. That’s 2,352 unique comparisons! This information will allow us to test exciting new ideas about the evolution of mimicry. There’s only one catch…
This particular experiment will use the human brain as a processing tool and the power of the crowd to generate data. It’s a bit like “Strictly Come Mimicking” (or “Mimicking with the Stars“, if you’re in the US): you just need to rate how similar you think the two insects appear out of 10. I’d appreciate it greatly if you could take some time to run through the experiment below. Don’t do it thinking that there is an end, though – there are 2,352 combinations, remember, and the images are randomly paired on each screen! You can access the experiment here:
My goal is to reach 10 ratings of each pair of insects. That means a total of 23,520 ratings. I know this is a long shot, but that’s the aim, people! Please do share it far and wide! I’ll share regular updates on the blog as the ratings come in (however many or few there are!).
Community Collaborative Science (CoCoSci) as an alternative model for scientific collaboration?
I went to a fascinating talk by a colleague at Leeds, Dr Mark Davis, a few weeks ago. Mark works on Alternative Finance (“altfin”), which involves a shift in economic thinking away from traditional big banks (with low interest and risky investments) towards peer-to-peer and community-based lending. You can read more about Mark’s ideas in his recent Conversation article: “How alternative finance can offer a better banking future“. Mark had a lot of fascinating insights which (to a lay person like me) resonated strongly. The notion that banks are inherently risky and create the circumstances for economic collapse, and the idea that all of our money that we give to banks ends up going far away into large, complex economic systems, rather than helping closer to home. Mark also made the point that there is a parallel between the “Big Society” notion promoted by the UK Conservative Government under David Cameron, and the Alternative Finance concept that he promotes. Under the Big Society, it is assumed that everybody has a little bit of spare time here and there and that we can volunteer that time to solve social problems. This means lower investment from the government because we are (in theory) capable of taking over from public services. Some people are skeptical… Altfin, on the other hand, takes the same approach to capital: almost everybody has a small amount of capital sitting around that is doing nothing productive, and if we pool our spare capital then we can do good things with it. This got me wondering whether the same thing was true for research…
“In Conversation” – science communication goes semi-pro!
I started Katatrepsis in 2011 and this is the 200th post! At the time of writing, the blog has been viewed 138,967 times by 85,866 different visitors (according to the WordPress stats). That might sound like a lot to some people, but others would scoff at such puny numbers. I think it probably puts me […]
A hat-full of academic how-tos
Dipping in and out of the stream of tweets, there are always fascinating links to excellent resources for academics at all stages of their careers. I just spotted another, and thought it might be about time to aggregate some of these for posterity. Here’s the quick list (to which I will add if people suggest links), and details are below
- “How to find a postdoc”
- “How to get started with R”
- “How to use Github and RStudio”
- “How to use Github effectively”
- “How to respond to reviewers’ comments”
- “How to write a literature review”
- “How to help fight sexism in academia”
- “How to make your publications more accessible”
- “How to make your work reproducible”
Keeping them engaged – tech solutions for in-class quizzes
When I joined my current institution in 2012, I was offered the role of “Blended Learning Champion” – basically I had to promote a combination of the best pedagogical tools, including in-person techniques and digital technology. As soon as I started, I learned about what became known as “the clicker fiasco”. There was a time, you see, in the halcyon days of 2010/11, when all students in my faculty were given little devices that could be used to respond to questions during the class. It looked a little bit like the one on the right here, and worked extremely well. Lecturers would embed questions in their lectures, the students would answer using the clickers, and everybody was happy. At some stage some inconsistencies in the software versions, or possibly some old hardware (the exact cause is unknown), caused the whole system to come crashing down. What was frustrating about this situation is that there was substantial buy-in from academics to use these technological tools to enhance their pedagogical practice, but the failure of the clickers deprived them of both their favourite tools and their enthusiasm for blended learning. Now, I think I have found the solution: Socrative.Read More »
Making my research more open using Kudos
I’ve always tried to make sure that my academic work wasn’t tucked away on a dusty shelf (or paywalled in an obscure academic journal, which is the equivalent in the digital age) and that has meant that my digital footprint is huge. I have accounts on ResearchGate, Twitter, Slideshare, LinkedIn, Figshare, Google Scholar, Academia.edu, Flickr, and Google+ (as well as probably a few more that I’ve forgotten!). I don’t think I have lost anything by “scattering my wild oats” across a huge swathe of the internet, because I assume that it increases visibility. Indeed I get a few views across all platforms:
- ResearchGate: 2,106 reads, 454 profile views,
- Twitter: 976 followers
- Slideshare: 2,386 views
- Figshare: 20-200 views per article, but full stats require institutional subscription
- Academia.edu: 484 views, 35 downloads
However, what I have been looking for is a service that allows me to aggregate all this content. Ideally it would have (i) a single page per publication, where I could bring together all the bits of information relating to that paper (data, preprints, press coverage, and a lay summary), and (ii) a personal profile page that brings all of those publication pages together under my profile. Well, I think I’ve found it!Read More »
How to write a scientific paper
When we teach students how to write papers, we take it for granted that they have already absorbed the basic format of a scientific article from their reading of the primary literature. They should be familiar with abstract-intro-methods-results-discussion-references, for example, and the content that goes into each section in order to lead the reader through the work. However, it is easy to see how students might fail to grasp the general structure of a scientific paper. For example, we often hold up the high impact journals as models of scientific research, but journals such as Nature, Science, Current Biology and PNAS have a structure and a style that is really quite different from other journals (referenced abstracts, methods at the end, extremely brief structure). I have been teaching undergraduate and postgraduate students how to write scientific papers and theses for a few years now, and I thought I would share my personal method (I think I can credit Phill Watts, now at the University of Oulu, for suggesting this to me years ago):
I hope it’s useful and please do let me know if it helps, either in the comments here or on the YouTube page. The video is released under Creative Commons.