The Agatha Art Gallery Prize 2020 is now open for submissions.
Seeking the best COVID-19 ARTWORK
COVID-19 ARTWORK today can vary greatly in how it looks and how it was made, but there are common elements that thread the work of all the greats: a love for the unexpected and candid moments of life, an ability to find visual order within the chaos of the world, and an unparalleled creative vision.
Many of the world’s most iconic and memorable ARTWORK has been made by filling, but who is defining this genre today? For the first Agatha Art Gallery Competition, we are searching the globe to find out!
If you are creatively capturing the weird and wonderful moments of life as they unfold around you or comes from you, we want to see your work! You might use New Media Art, AI, traditional tools. No matter your tools or your location, we want to see your unique perspective from your strong inner motivation, what you define it.
The Winner will enjoy all our services for 1-year, full media support and artist management, and 1-year Artnet presence.
All entries will be judged as follows:
1) Artistic creativity
2) Level of innovation used in the process to generate the artwork.
The Winner will enjoy all our services for 1-year, full media support, and artist management, and 1-year Artnet presence.
This competition closes on 01 December 2020.
Final submissions must be received by 11:59 PM GMT.
Winner will be notified and announced by 19 December 2020.
We reserve the right to update the contest timeline if necessary.
Quite by accident Feller realised that her artwork has healing qualities when she gifted one to a friend, who told her that when she was near the painting she felt energised.
Feller has always been spiritual with a gift for healing, and as a child she would heal her family. In recent years she has explored this skill and has studied reiki, but still falls back on her natural talents.
The more colourful pieces of her work are created whilst bathed in a positive energy providing them with healing properties. This healing energy is then passed on to her customers.
David Hanson develops robots that are widely
regarded as the world’s most human-like in appearance,
in a lifelong quest to create true living, caring
machines. To accomplish these goals, Hanson
integrates figurative arts with cognitive science and
robotics engineering, inventions novel skin materials,
facial expression mechanisms, and collaborative
developments in AI, within humanoid artworks like
Sophia the robot, which can engage people in
naturalistic face-to-face conversations and currently
serve in AI research, education, therapy, and other
He is a Hungarian-born English photographer. Even though he learned his lesson well in composing the accidental moment with precision, in manner of Cartier-Bresson or Josef Koudelka; he uses this knowledge from a rather original perspective. As often his children are the subject of his art, it is inevitably filled with love and intimacy. He does not force the style well learned, and the quasi spontaneity lends his pictures a unique aura, a differentiating feature. “Things will work out just fine, if you let go.” These moments of his, in addition to being spontaneous, are incredibly intense, at times even mysterious, or grim at others. They bear, however, no symbolism whatsoever: his abstractions are absolutely photogenic, and the message is the complex ambiguity of the reality behind these pictures. Geza completely trusts viewers to decipher it.
He has had an interest in art and technology since he was a child, a in recent years has merged these into a passion for technology generated art and digital experiences. He has created art from open source data sets, leveraged emerging generative algorithms to create unique pieces, and currently works at the intersection of AI, Augmented Reality and Art.
Dr William Sayers
I am a Senior lecturer at the University of Gloucestershire, developing courses and learning experiences, and undertaking extensive research. I graduated with a first-class honours degree in Computer Games Development and followed that with a Doctorate of Engineering (EngD), focusing on machine learning and optimisation algorithms applied to water engineering modelling.
I’m currently conducting research on the application of deep learning technologies as meta-heuristics in multi-objective optimization algorithms for real-world engineering problems. I’m also collaborating on research on the use of random numbers for secure medical device communication and engaging with the wider research community as editor and reviewer for several journals (most recently, Urban Water Journal and the Journal of Open Research Software).