2018 - Data Art Manifesto - Lorraine Sawicki

Texto

Sometimes we reach the limit of what is known — and when we go beyond that, it’s art.

Art in various mediums should be used to enhance, challenge and investigate decisions made via data science, artificial intelligence and machine learning.

There are a lot of disciplines that are a delicate balance between art and science. Cooking is a great example — you need to learn the rules, but after that it’s an art to interpret memories into something that can be consumed. With perfumery, chemists are always on the search for new molecules but the emotions evoked with smell are subjective and varied. You can analyze the stock market to death, but there aren’t guarantees. Should falling in love be boiled down to a scientific process? Is raising a child an algorithm?

1. Abstraction of personal information can lead to moving insight

http://web.archive.org/web/20220426060209/https://data-cuisine.net/data-dishes/death-by-chocolate/

In this example, Arlene Birt and Marianne Rosolen represent the top 5 most common ways to die as fillings. How are you going to die?

This is better than a bar chart.

Enlaces

URL:

Wayback Machine: