beyond academia: communicating your work in academia and beyond
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Career TalkTRANSCRIPT
Communicating Your Work in Academia and Beyond
William Gunn, Ph.D. Head of Academic Outreach Mendeley [email protected]
twitter: @mrgunn
How many of you currently have working outside of academia as
your top choice?
Communicating your work
•Content
•Medium
•Channel
•Audience
My story
The advice I got
• Good: Pick a stable, well-funded lab where people graduate on time
• Good: Diversify project risk
• Bad: Keep your head down, work hard, and it’ll all work out
1. Seek advice from the people who can give it
Lessons
The first transition:
Grad school to Biotech
I was part of something!
It was a little isolating
1. Seek advice from the people who can give it
2. Know Thyself
Lessons
The second transition:
Biotech to tech startup
Early Adopter
...helps researchers work smarter
...makes science more collaborative
and transparent …has created an
open research database
Tools of scientific discovery
Mendeley..
Achievements
• OA policy advocacy successes
• A tool that doesn’t suck
• Altmetrics (Draft NISO standard)
• Reproducibility ($1.3M funding and partnership with Center for Open Science)
1. Seek advice from the people who can give it
2. Know Thyself 3. Look Beyond the Surface
Lessons
Stay
• What do you want to do?
• Will you find "Flow"?
• Realistic impression?
• Supportive network?
• Are you young?
Go
• Frustrated by lack of impact?
• Like to write?
• Want to influence policy?
• Are you too charismatic?
Csikszentmihalyi, M. Flow: The psychology of optimal experience.
(1991)
MAKING THE TRANSITION
Team vs. solo
Communicating your work
•Content
•Medium – written, spoken, visual
•Channel
•Audience
Communicating your work
•Content
•Medium – written, spoken, visual
•Channel
•Audience
Data viz has a long history
John Snow’s cholera map helped communicate the idea that cholera was a water-borne disease.
Florence Nightingale used dataviz
Modernization of dataviz
Chart junk: good, bad, and ugly
Which presentation is better?
It can be elegant…
Tufte
Tufte
How our eyes and brain perceive
It takes 200 ms to initiate an eye movement, but the red dot can be found in 100 ms or less. This is due to pre-attentive processing.
Shape is a little slower than color!
Pre-attentive processing fails!
There are many “primitive” properties which we perceive
• Length • Width • Size • Density • Hue • Color intensity • Depth • 3-D orientation
Length
Width
Density
Hue
Color Intensity
Depth
3D orientation
Types of color schemes
• Sequential – suited for ordered data that progress from low to high. Use light colors for low values and dark colors for higher.
• Diverging – uses hue to show the breakpoint and intensity to show divergent extremes.
• Qualitative – uses different colors to represent different categories. Beware of using hue/saturation to highlight unimportant categories.
Sequential
http://colorbrewer2.org/
Diverging
Qualitative
Tips for maps
• Keep it to 5-7 data classes
• ~8% of men are red-green colorblind
• Diverging schemes don’t do well when printed or photocopied
• Colors will often render differently on different screens, especially low-end LCD screens
• http://colorbrewer2.org
Communicating your work
•Content
•Medium – written, spoken, visual
•Channel
•Audience
Adams, Jonathan. "Collaborations: the fourth age of research."
Nature 497.7451 (2013): 557-560.
King, Christopher (2012) Thomson Reuters Annual Report
http://ar.thomsonreuters.com/_files/pdf/MultiauthorPapers_ChrisKing.pdf
Social Networks
Opportunities for discovery
Opportunities for building relationships
Scholars on Twitter
In a 2010 survey of ~1,400 higher-ed professionals,
1 of 3 used Twitter (http://scr.bi/9BfKTr)
intro
Prevalence of Twitter citations results
Speed (1)
If I find an interesting reference in
the literature, people will only
know about it after one year,
maybe, after I have actually
published it. However if I tweet it
people will know about it
immediately, as soon as
possible.
results
- 'Tyrone'
Speed (2)
Twitter citations quickly follow article publication:
results
Priem, J. and Costello, K. L. (2010), How and why scholars cite on Twitter. Proc. Am.
Soc. Info. Sci. Tech., 47: 1–4. doi: 10.1002/meet.14504701201
2.7M researchers
www.mendeley.com