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Data designer, language learner, don't know until you try it-er.

I finished posting 'signature sounds' for 5 main fermentation microorganisms: acetic acid bacteria, bacilli, lactic acid bacteria, yeast and mold --> https://www.instagram.com/datagrazing/?img_index=1

Yet, these organisms are never alone in the process. Stay tuned for the microbial symphony.

I’m co-organizing a workshop at HASTAC 2023 called My body is a visceralization: exploring environmental data through bodily performance. It’s geared toward any open-minded or curious person who wants to play with data. Signup here ➡️ https://hastac2023.sched.com/event/1LePh
HASTAC 2023 Conference: My body is a data visceralization: Explo...

View more about this event at HASTAC 2023 Conference

Data sprint day #3 at the MK&G: how can digital museum collections guide users to find unconventional relationships between objects?
First day at the data sprint for the Museum of Kunst und Gewerbe Hamburg (MK&G). Too many fascinating avenues to explore and this is just one cluster of many - which will we pick first?!

Another #datapottery iteration. This one is a #miso jar, based on a ratio for sweet miso. 10% salt for 3 parts koji & 1 part rice. I will never forget either the contents or the ratio or recipe that I used. #datarepresentation inspired by my fermentation jar viz @observablehq https://observablehq.com/@maxeneg/fermentation-jar

These are all first tries, and though not perfect, I'm excited to see how they develop. Pottery is a lengthy process reliant on nature and technique, and so are its iterations.
#fermentingdata

Fermentation Jar

Frustrated by recipes and googling for fermentation ratios, I wanted to create a central location where I could easily know how much salt each ferment uses, and their fermentation time. To use this tool, just pick the oversimplified ferment base (lacto for vegetables, like for making sauerkraut or kimchi and koji for ferments like miso), then select a ferment from the drop-down menu. If you're combining ferments, as I often do, you can usually just use the salt ratio for the vegetable that takes up the most

Observable
I have been experimenting with pottery #datarepresentations lately reflecting on my favorite foods and their climate impact. This one is my daily oat milk cappuccino: the design is a coffee plant, and its final total weight is based on its carbon footprint (about .5kg). Weight and texture are attributes unique to physical objects that also impact how we interact with them. Therefore, adding weight is a daily, tactile reminder of my impact on the climate.
I'll be giving a workshop in a couple of hours for those interested in learning more about the possibilities of #rawgraphs and #flourish for #informationisbeautiful. Used by developers and designers alike, these tools have a lot of potential. The only thing lacking is your imagination!
It may not look like it, but these are my first experiments with pottery #dataphysicalization. The hint is that they have to do with data on my favorite foods...and their life cycle assessment (LCA). Stay tuned for the explanation...dependent on the firing.
When I first got into dataviz, I came across a master’s thesis essentially about visualizing grammar (German) pedagogically. I was taken by this as my most prolonged obsession has been language learning. The author gave me a sample PDF copy, and I saw today that it has its own dedicated site, dieseskleinebuch.de! It's so satisfying to find ‘hidden data visualizations’ or encodings - where dataviz creeps into other domains without being called such.