“I’d give two of my left fingers for this data” – Amanda Cox on the show
We have the great Amanda Cox from NYT on the show this time!
Amanda is a graphic editor at NYT and she is behind many of the amazing data graphics New York Times produced in recent years.
In the show we talk about her background in statistics and how she ended up at the Times. How she uses R software to collect, analyze and visualize data, and her ideas on other tools. We also talk about how data graphics are produced at NYT, with lots of funny stories.
Don’t miss the parts about the “what, where, when” of data and the “net joy” concept.
We have designer and activist Mushon Zer-Aviv on the show today. Mushon is an NYU ITP graduate and instructor at Shenkar University, Israel.
He wrote the very interesting Disinformation Visualization piece for Tactical Tech’s Visualizing Information for Advocacy and we decided to invite him to discuss the million different facets of disinformation through visualization.
Is data and data visualization bringing some truth or it should always be considered an argument? Is there a way we can mitigate or even prevent disinformation? What strategies can designers use to make their opinion more apparent?
These are some of the questions we discuss on the show.
And don’t miss the part on “data obfuscation”, that is, how to use disinformation to increase our privacy!
The Persuasive Power of Data Visualization. A. V. Pandey, O. Nov, A. Manivannan, M. Satterthwaite, and E. Bertini. IEEE Transactions on Visualization and Computer Graphics (Proc. of InfoVis), vol. 20, no. 12, pp. 2211 – 2220, 2014.
We have Miriah Meyer with us in this episode to talk about how to build interactive data visualization tools for scientists and researchers. Miriah is Assistant Professor at University of Utah and she one of the leading experts on the process of designing data visualizations for scientific discovery.
Hi folks! We have Benedikt Groß with us on the show. Benedikt defines himself as a “speculative and computational designer who works antidisciplinarily“. Benedikt graduated from the Design Interactions course at the Royal College of Art and he works for his studio in Stuttgart, Germany. He is the co-author of ‘Generative Design’, one of the standard books on the topic.
In the show we talk about some of his amazing data projects at the intersection of art, design, science, sociology, etc. Aerial Bold, for instance, is a project about searching satellite images to find buildings and geographic features that look like letters. The Big Atlas of LA Pools, is a project about mapping all pools in LA. And Population.io is about showing demographic data in an engaging way and even giving you a prediction of when you are going to die! This is an amazing episode with stories about how Bill Gates crushed Population.io with one tweet and how they published 74 books of pool images totaling about 6000 pages and how they outsourced some of the work to an Indian company to trace the pools. Amazing stuff!
Hey yo, we have Jen Christiansen from Scientific American with us in DS#52.
Jen is art director of information graphics at Scientific American magazine where she is been for about then years and she has a background in natural science illustration from the University of California, Santa Cruz.
Science communication is one of our favorite topics and we are so happy to have such an amazing expert like Jen on the show. Jen reveals the nitty gritty of scientific visualization and illustration as experienced by one of the top scientific communication magazines in the world.
“How does a scientific piece come to life? Where does an idea for a new piece come from? How do they interact with the scientists to make sure everything they report is accurate and yet accessible for a broad audience? And what does need to be done before an illustration gets ready for print?”
We discuss this and many other questions with Jen. Enjoy the show!
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We have another great guest on the show. Dietmar Offenhuber visits us to talk about smart cities and visualizing data coming from cities.
Dietmar has an interesting background. He has a background in architecture with a Dipl. Ing. from the Technical University Vienna and then he got a MS in Media Arts and Sciences from the MIT Media Lab and a PhD in Urban Planning from MIT. He’s also been a key researcher at Ars Electronica Futurelab.
Now he is an Assistant Professor at Northeastern University in the departments of Art + Design and Public Policy, where he does research on the technological and social aspects of smart cities and urban governance.
In the show we talk about many of his super interesting projects such as Wegzeit (timespace visualizations of LA) and Trash Track (on tracking and visualizing where garbage goes), and interesting concepts such as Accountability Technologies and Infrastructure Legibility. We also talk about the future of smart cities and what we should expect to get our of smart cities.
Enjoy the show!
(Moritz Launched ON BROADWAY with Lev Manovich, Dominikus Baur, Daniel Goddemeyer)
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Ah! We made it to 50 episodes and three years of this lovely podcast of ours. We have loved every bit of it, every guest, every single discussion and all the support we received from everyone.
For this episode we asked repeatedly to submit a short audio snippet or text and we received a few amazing ones. We are very grateful to you all guys, this is amazing.
In the episode we talk about a few statistics we extracted on episodes with highest number of listeners and blog posts with highest number of visits. We then read the text messages we received. And finally we have inserted the audio messages we received. THANKS A LOT! This is amazing.
P.S. Special thanks to Erik Jacobson for his amazing collage!
Most popular episodes (of about the last 12 months)
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In this episode we have Scott Klein from ProPublica with us. ProPublica is a nonprofit organization that does investigative journalism and Scott directs a team of data journalists and programmers to create new applications based on data and data visualization.
In the show we talk about how ProPublica works and what challenges they are confronted with. How do you pick a story? How do you develop it? How do you make sure you are not making mistakes? This are some of the questions we discuss. We also talk about tools and libraries and how to train yourself to become a data journalist.
This was a very much needed episode as we never had a proper episode on data journalism. Thanks Scott for coming on the show!