AlgoArt Exhibit @ Ludington Library

evento

AlgoArt Exhibit @ Ludington Library
17 Sep. 2023 hasta 27 Oct. 2023

Monday - Thursday, 9 AM - 9 PM
Friday, 9 AM - 6 PM
Saturday, 9 AM - 5 PM
Sunday, 12 PM - 5 PM

Ludington Library|5 S Bryn Mawr Ave|Bryn Mawr|PA|19010|US

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AlgoArt is a digital platform that brings together Artists and Technologists to create algorithmically generated visual designs and artworks. In this exhibition, we tell the story of the AlgoArt platform which includes the Swarthmore students and external collaborators who helped make this possible. Twenty visual artworks will be on display that were generated using the AlgoArt platform. Collective works composed of our visual designs & generative artworks received a 2nd place award from an international arts in STEM competition (IFoRE 2022) and a 1st place award from a computer science education academic conference (CCSC-EA 2022).

AlgoArt Exhibit @ Ludington Library

Presented by Michael Wehar

Featuring Xingyu Dong, Xinxin Li, Ryan Oet, Maya-Newman Toker, Alyssa Zhang

With additional works by John Mancini

Dates: September 18th, 2023 - October 27th, 2023

Exhibit Summary

AlgoArt is a digital platform that brings together Artists and Technologists to create algorithmically generated visual designs and artworks.  In this exhibition, we tell the story of the AlgoArt platform which includes the Swarthmore students and external collaborators who helped make this possible.  Twenty visual artworks will be on display that were generated using the AlgoArt platform.  Collective works composed of our visual designs & generative artworks received a 2nd place award from an international arts in STEM competition (IFoRE 2022) and a 1st place award from a computer science education academic conference (CCSC-EA 2022).

Artwork Details

The following twenty artworks are on display:

  • 3 x Geometric Patterns (M. Wehar)
  • 3 x Trees (M. Wehar)
  • 5 x Vines (A. Zhang)
  • 3 x Spiderwebs (M. Newman-Toker)
  • 3 x Game Of Life (J. Mancini & M. Wehar)
  • 3 x 70’s Funk (M. Wehar & A. Zhang)

* Acknowledging support from Aydelotte Foundation, Swarthmore College Libraries, Swarthmore College Research Fund, and Frances Velay Fellowship.

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