2023 Code4Lib T-Shirt Design Competition

Voting is now open for the Code4Lib 2023 T-shirt design! The winning logo will be featured on the front of this year's conference t-shirt. Voting will close on Friday, January 20, 2023.

You can cast your vote here: https://docs.google.com/forms/d/e/1FAIpQLScahcvQUOQ1EDp7SnNNENoqGocjjCn55weBhyVtmEAlmfkJIQ/viewform. The voting form will require you to log in with a Google account to ensure one vote per person.

The t-shirt color will (probably) be black, but we can look into changing the color depending on the design that is ultimately selected. If the winning design's assumed color is something other than the traditional black, we will try to get the t-shirts in the requested color. If that color is not feasible, the logo will default to white or gray, depending on the requested design contrast, on a black t-shirt.

Paul Fuller:

It's a slightly simplified version of the Princeton, NJ tree logo with the text "code{4}lib 2023 princeton, nj" wrapping around the circular tree.

Alicia Cozine:

Roaring tiger with a wired computer mouse in its mouth. Black on a white background works, but I think it would look great as a black design on an orange shirt. Design by Alicia Cozine, artistic execution by Lydia Major.

Mat Kelly:

Primarily consists of a single typeface of the words "Code4Lib 2023" with some customization in the placement. Monochrome, so would also work if inverted.

Anson Parker:

A dall-e illustration of "a black and white design of a librarian programming a data science project"

Anson Parker:

Another dall-e illustration of "a black and white design of a librarian programming a data science project"

Anson Parker:

One final dall-e illustration of "a black and white design of a librarian programming a data science project"

Chuck McCallum:

I've heard a lot about DALL-E etc., but hadn't signed up for an account. I like to draw, and don't want a computer to do it for me... but anagrams seemed like an interesting set of prompts. As it turns out, it takes a lot of text massaging and extrapolation to get good line art for a t-shirt, and even then there are often strange unidentifiable lines and blobs that you'd want to manually erase.