The Moksha Roundup
Issue #26, July 26 - August 1, 2022
Welcome to this week’s Moksha Roundup! This small newsletter is a weekly roundup of the latest and greatest in the data visualization/design/visual storytelling world. Every week, we compile our favorite projects from journalists, storytellers, and technologists and share them with you.
In this issue, we share great visual storytelling pieces from Bloomberg, Google, the New York Times, and others! If you’re not subscribed already and want to see more in the future, sign up below:
The piece has a horizontally-scrolling line graph that tracks the currency’s value from July 2019 to July 2022. Context is provided on notable peaks and troughs to help readers understand why they occurred—from election results signaling a stable period and building confidence to pandemic closures creating fear in the finance sector.Visit the piece →
By Change the Ref
Change the Ref has launched the NRA Children’s Museum to draw attention to the 4,368 lives lost to gun violence in the U.S. and encourage youth-led activism to demand stricter gun laws to prevent more deaths.
The project includes empty school buses, representing the victims and forming a gun that ended their lives, making for a powerful visual to “become a vehicle for change everywhere in the country.”Visit the piece →
By Experiments with Google
This AI experiment from 2017 caught our attention! Kyle McDonald, Manny Tan, Yotam Mann, and the Google Creative Lab visualized what thousands of birds sound like from a database compiled by the Macaulay Library. They used machine learning to distinguish the sounds and group them on a map. Users can navigate the map and explore each sound by clicking on an individual block or searching a specific bird.Visit the piece →
By The New York Times
In this NYT piece, Amanda Morris has teamed up with Eden Weingart, Mohamed Sadek, and Ege Soyuer to show how video technology, social media, and social norms are changing American Sign Language (ASL) for different generations.
The juxtaposition in the videos offers insight into how old and newer signs differ, and the reasons for such changes.Visit the piece →
By Ethan Mollick
Ethan Mollick, a professor at the University of Pennsylvania, has used the popular AI image generation system DALL-E to show data visualization in wildly different historical styles. If you have wondered how Picasso or Leonardo da Vinci would have painted bar charts, or want to see how they look as an 80s punk album cover, check out the thread!Visit the piece →
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