Outbreaks from the Grid

Outbreaks from the Grid

Outbreaks from the Grid pursues art that acts and behaves like life. This project uses genetic algorithms and machine learning processes to move ideas through lifelike systems, documenting and exhibiting reactions along the way.

Because artwork is interpretable and relatable we are interested in how Outbreaks might create educational opportunities for a lay audience to better understand AI and AL. There is a dire need to bring more informed voices into the discussion about how technological advancements can serve social justice and a common good.

Project Goals:

• Engage human and machine minds and bodies to create dynamic artworks and art experiences.
• Leverage sophisticated computational resources.
• Root our digital art practice in contemporary art, Islamic art, and African art.
• Bring transparency to the computer processes of genetic algorithms and machine learning (open up the black box).
• Informed by the arts and humanities, pose questions and present challenges to computing systems.
• Produce new knowledge.
• Document, share and learn from the phenomenological experiences of the participating artists, researchers and audience.

Outbreaks from the Grid: Lifecycle 2020

Link to lifecycle pdf

Team:
Jenn Karson (PI)
Ethan Davis, M.S. Data Scicne ‘21
Sarah Pell, M.S. Data Science ‘20
Fred Sanford, B.S. Mechanical Engineering ‘20

Funding:
CatCoders funding from Department of Computer Science, UVM Spring 2020
Northeast Cyberteam/NSF funding, Summer 2020

Reactions:

1333

Original Analog Organic Compounds

collection ~250 items

Natural Compound
Machine Learning
collection ~1500

Genotype
Genetic Algorithm
collection ~2000

Phenotype
Synthetic Compound
Genetic Algorithm
collection infinite


Mixtures:


Natural Mixtures
Machine Learning
collection >1000

 

 

 

 

Synthetic Mixtures
(In Process)


2nd Generation Compounds:

 

 

 

2nd Generation
Synthetic Compounds
(In Process)

 

 

 

2nd Generation
Natural Compounds
(In Process)