Data Stories #23: Inspiration or Plagiarism? w/ Bryan Connor and Mahir Yavuz

Hi Folks!

In this episode we touch upon a tricky question: where is the fine line between taking inspiration from other projects and merely copying them? We discuss that with Bryan Connor from The Why Axis and Mahir Yavuz from Seed Scientific.

Note: We suggest you give a look to the links below (under the heading “Cases We Discuss in the Podcast”) before listening to the podcast, most of the episode is centered around these examples we selected for discussion.

Episode Chapters

00:00:00 Intro
00:01:56 Flattr
00:03:46 Main topic today: inspiration or plagiarism with our guests Mahir M. Yavuz and Bryan Connor
00:07:53 Is data visualization turning into a copycat scene?
00:08:32 Remake of subway map by New Yorker
00:13:19 Patterns
00:14:03 Idea – technology – aesthetics
00:16:06 Patterns ctd.
00:18:19 Gun murders – drone strikes – meteorites
00:23:19 What constitutes an “outrageous rip-off”?
00:27:31 On originality
00:33:07 Guardian Gay Rights / Gun Laws graphic
00:37:53 On the value of reproduction and chains of inspiration
00:44:01 Stream graphs
00:49:01 Value of transparent documentation of process
00:50:44 Non-patterns
00:53:13 Remix culture, github culture
00:54:48 Snow fall
00:58:04 Patents
01:01:47 A new language for citation in design?
01:09:36 Closing remarks

Cases We Discuss in the Podcast

New Yorker’s Inequality Subway Map

Periscopic’s Dramatic Animation of Gun Murders

Guardian’s Gay Rights Radial Visualization

Streamgraphs

More Examples (not discussed)

Good Related Reads

Links

Thanks a lot to Bryan and Mahir for this intense, controversial and funny chat!

Take care,
Enrico and Moritz.

3 thoughts on “Data Stories #23: Inspiration or Plagiarism? w/ Bryan Connor and Mahir Yavuz

  1. Jazz trumpet legend Clark Terry once described learning that craft as “imitation, assimilation, innovation”. We all start with imitation, consciously or not. (In jazz it is actually encouraged as a learning method.) Then we absorb the underlying technique or principle. Then we make it our own.

    The challenge for both jazz and viz is that they have an audience all through the learning process, some of whom will recognize the use of imitation, some will not.

    You can’t avoid imitating, and you can’t wait for the entire learning process to be complete to practice your craft – especially since the process is never complete, learning opens more questions, infinitely. So just be as honest and clear as you can with your audience and yourself.

  2. Pingback: Data Viz News [10] | Visual Loop

  3. Very good point John! I like the parallel with Jazz. I think the main point is, as you said, being totally honest with yourself and the others whenever you put something out.

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