Tl;dr: I wrote a lot of code to generate stories from the 1928 writer’s manual “Plotto,” and then I looked at the data and decided that just because I could, it wasn’t a good idea. I’m not releasing that dataset and code.
There are 2 primary parts to this: The data analysis, and the reflection on what that data means against other related cultural data explorations and current events. This #longread may be of interest to folks who are into procedural content generation, digital humanities, AI art, and data visualization/analysis. …
Earlier this year, I was one of the folks invited to speak at Resonate Festival who didn’t end up going, after they dropped out of touch in a funding & communications fiasco. (And last year had issues too, evidently. I wish folks had spread the word a bit more.) At the point where it was clear they weren’t sending my travel info, I had already spent 5 days prepping cool new AI art toys for a new talk— so, hey, blog post!
“OpenVis is massively influential and packed to the gills with top talent.”
— David Mimno, Assist. Professor, Cornell Information Science
OpenVis Conference is a boutique event for data visualization practice. After 5 years in Boston with Bocoup, our primary sponsor in 2018 is emlyon business school, my employer, where I teach introductory data science and analytics courses in a new Data R&D Institute. We took this opportunity to move the event to Europe (Paris, May 14–16). But we felt it needed a little introduction to our new international audience!
What’s in this enthusiastic, long post:
(This is my KIKK Festival 2017 talk written up, from the Tech Track. It was opposite @quasimondo’s talk, so I think it might find a larger audience in text.)
This talk springs from my interest in transcoding text and images for artistic purposes. This talk is about photographs and generative poetry. Because I am also working with machine learning now, it’s also about memory, both the human and the modeled.
It’s been a long time since the last newsletter/post. Sometimes it’s hard to focus on the awesome, when your course is killing your students, IT doesn’t think it’s their job to have VGA adapters, & you’ve lost your shit several times in the week; and meanwhile people are living without water and electricity and the U.S. government cares more about the NFL. Nevertheless: People and things that are beautiful, creative, and original are how I get through it. So here’s a few amazing things that have piled up for me and improved my days in the past week and months…
[Cross-posted from my tinyletter list here.]
Hi. This episode is a lightly linked set of things that fell all over me recently. There’s time/space/memory and some games and generative poetry in here.
At last week’s excellent OpenVis Conf (which I co-chair, truth in advertising), Matt Brehmer from Microsoft gave a great talk called “What Story Does Your Timeline Tell?” He explored different shapes for representing timelines in historical and current datavis, including spirals, circles, grids, and obviously lines.
Hi again — thanks for signing up [originally posted on my tinyletter]! This time has more focus on things that make me smile, because they are the most awesome: a lot from Twitter as usual, and also one travel tip.
Via a tweet from @DashingD3, I love the Dark Sky emoji weather map. It has funny faces, whales, ships, waves, you can zoom in, and it’s just adorable:
[This was originally published as my first post on my new tinyletter. I’ve decided to cross-post them all here since the lack of feedback on tinyletter makes me a little sad.]
Like many of us, I’ve had a hard few months online. I remember when the top news stories in my Nuzzel feed weren’t about politics, and how many awesome technical and creative things I was looking at or playing with.
I’m trying to get some of that spirit back. If you follow me on twitter, this won’t be a list about data science and vis as much as about…
I want to talk about the wealth of opportunities I see for data visualization specialists visiting in and borrowing from the “adjacent” fields of UI design and data science.
I prefer to imagine this post will be about more than a tempest in a twitter teapot — or a teenier splash of soy milk in a Silicon Valley macchiato. But it did start with a tweet from there:
Since then, we’ve seen a flurry of posts (see references) about data visualization as a profession, and what if anything…
Data vis, generative text, data science. @arnicas