Communicating science effectively needs more than facts, says Eileen Parkes.
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Why scientists should communicate science – getting to the heart of the matter
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Tag Archives: social media
Building skills through a gig
Some researchers are providing short-term services such as writing science news articles and consulting on industry products to bolster their skills outside the lab. These side gigs can be valuable for career development, says Josh Henkin. (See related story here.)
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Communication: talk to peers and the general public
Effective communication will improve the value of scientific discoveries, says Eleni Wood
As scientists, our work is often driven by data collection and results. But a key step in the scientific process, and one that increases the value of our findings, is the effective communication of our investigative processes and results. Science communication is not only important within our fields for the advancement of our disciplines – communication to other audiences also influences the public perception and credibility of scientists and the work we do.
Social media as a scientist: a very quick guide
By Beth Kenkel
This condensed social media guide for scientists provides key facts about how researchers report using social media and concrete examples of how you can use LinkedIn, Twitter and Facebook to network, exchange scientific ideas, or advance a career. This is an all ages guide designed for scientists at any career stage.
Q&A: Progress for Congress
A neuroscientist wants to see change in the government — and he’s creating it.
Thomas Prigg is a brain cell circuitry researcher at Carnegie Mellon University in Pittsburgh, Pennsylvania, US. Now he’s using his science skills to fuel his campaign for Congress in 2018. He talks to Nikki Forrester. Continue reading
Networking: a very short cheat sheet
We all know the value of networking. Here’s a very quick rundown of best practises, from Amali H. Thrimawithana
Networking plays a vital role in any scientist’s career development, being one of the main ingredients in building a professional profile. It feels especially essential in my own field of informatics and data science, where techniques and technology are rapidly evolving and cross-discipline collaborations are rampant.
Networking helps us stay up to date with developments, provides a space to learn, enhances communication skills, creates new opportunities, and helps to build a professional profile.
Conferences provide you with a literal stage to gain connections
Let’s talk about #SciComm
Science communication is a young field with many voices and few guidelines. Let’s find a way to combine our voices in order to protect the integrity of research endeavors, says Judith Reichel.
There are plenty of reasons to become active in the field of science communication, and for many early career researchers (ECRs) still exploring research, it’s a great way to find their niche and voice their opinions.
Yet, like many of its participants, the field of science communication itself is fairly young, and is constantly evolving from its original aim — to translate scientific findings to the public, in order to raise awareness and funding for the grand scientific endeavor. When 3000 new academic papers are published every day, it‘s impossible for any single scientist to keep track of every development.
Science communication is practiced by a range of journalists, editors, freelance writers and free-time writers, yet the aim remains the same: to communicate important findings in quick soundbites that provide enough information for scientists but are still digestible to the general public. Continue reading
Craft your connection
Twitter is the medium du jour, and if you’re like many other early-career researchers, you’re all over it. Fantastic. But digital and social media is about much more, and there’s more to consider than the content that you and everyone else are tweeting and retweeting.
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Don’t forget that you need to nurture your online persona – the summation and entirety of every bit of online information about you or that involves you, both written and visual. Someone may well have already posted some of this. But you can still shape and guide a great deal of the accessible online information about you — and the image that this information creates — by actively managing the content over which you have some control.
This is especially true if you’re looking for a job. It’s safe to assume that potential employers will look you up online and so you need to have control over the information presented about you.
LinkedIn is still one of the most highly used sites for finding out about jobs through your virtual network – and occasionally getting one. You’ll need to make your profile look good — and you’ll need to find a way to stand out from the rest of the pack.
If you’re not seeking employment, though, social media is still a hugely powerful and useful tool. It can help you reach networks of like-minded scientists, build research collaborations and even make friends
Lots of your colleagues find particular sites to be key venues when they want to engage in collaborative discussion, peer-review papers, share negative results that might never otherwise be published, and even upload raw data sets
And through these sites, you can build a powerful virtual network that will yield opportunities, information and advice. Here’s to the click!
Networking: Forge ahead
Networking. The word conjures up almost as much fear and loathing as the thought of a grant denial or manuscript rejection. The two words that comprise it aren’t much better: ‘net’, as if you’d be trapped, and ‘working’, when you’re already doing plenty of that.
But you can’t fling it off like a mosquito. To ‘network’ is simply to connect with others, and we’ve rounded up expert advice on why it’s important, even crucial – and how you can network in ways that don’t involve too much cringing or trying to schmooze strangers at your field’s annual conference.
It’s no secret that social media has created manifold ways to establish and boost your profile. But used appropriately, these platforms can help you to forge vital links. Twitter, for example, isn’t only a means of publicising yourself and exchanging information. It’s a great way to network virtually – and maybe even get a job.
You may know by now that there are many social-media sites specifically for researchers and academics. Are you familiar with all of them? Their benefits can be legion, finds a Nature survey: they can help you with collaborative discussion, accessing papers, sharing results and more.
Still, you have to get off your phone at some point and do some real face time. It isn’t easy for everyone, yet it doesn’t have to be an introvert’s nightmare. The key, says Nature Careers columnist Peter Fiske, is to aim for a steady level of regular interaction with others.
And ‘others’ is a central concept here. You have to diversify your network: even its weakest links count, says a Naturejobs blogger. Don’t try to persuade yourself that reaching out only to contacts of colleagues or potential collaborators means you’re done.
So after all that networking, you feel virtuous and accomplished – and probably exhausted, as another Naturejobs blogger laments. But you’ve got to carry on. After all, you never know where that chance encounter will lead – or whom it might connect you with.
So you want to be a data scientist (again)?
Put your natural science skills to work in a data science career
Guest contributor Daniel Harris of SoftwareAdvice.com
The explosive economic impact of big data has blurred the line between the business world and the scientific world like never before. A new type of business leader, the data scientist, has evolved as an amphibian, capable of thriving in both worlds, swimming in data lakes to bring useful insights back to the solid ground of business concerns.
Of course, companies have been using business intelligence (BI) tools to analyse their operational and financial performance metrics for decades.
But datasets generated by the web are so large that they must be stored on clusters of servers with thousands of nodes. Traditional methods for analysing these datasets have faltered, necessitating a more scientific approach.
Hadoop cluster by fogcat5 is licensed under CC BY-SA 2.0