Chesapeake Bay Intelligence
By Davar Ardalan, artist and technologist
On view at Gallery 57 West, Annapolis, Maryland
I live near the Chesapeake Bay, and my husband is a sailor. When we’re out on the Severn River, we often see ospreys, herons, ducks, and crabs. Watching how they move has shaped how I see the Bay.
For years, I’ve been dreaming in data patterns and natural rhythms, of movement through invisible systems, and of communities learning and sharing knowledge the way water moves: slowly and collectively.
Out there, it’s obvious that everything is connected, even when you can’t see the connections. That’s the lesson I keep coming back to. What I experience on the Bay is the same challenge we face with data and knowledge.
Data sharing alone does not save an ecosystem. We can build precise algorithms, models, and forecasts, but if people don’t understand them, feel connected to them, or see themselves inside the story they tell, they are easily ignored. As both an artist and a technologist, that gap is where my work begins.
Bay Intel is my artistic attempt to bridge it.
Before “algorithm” became shorthand for machines, it simply meant a way of learning through repetition, feedback, and time. The Chesapeake Bay already functions this way. It responds to tides and storms, to wildlife and human intervention, constantly adjusting and remembering. What’s missing is a shared visual language that invites attention rather than requiring expertise.
I came to this through sound.
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As an audio producer for NPR and National Geographic, I learned to listen closely to complex systems, to how small signals accumulate and meaning emerges slowly. Over time, what I was hearing began to take shape in my mind as dots, lines, and currents.
Eventually, I realized I needed to translate that listening into a visual language, something you could stand in front of and feel. The patterns I once mixed in audio, I now build by hand, layer by layer, as images.
This work is created using shablon, an ancient Persian stencil technique found in tile work, architecture, and other decorative and functional art forms. Traditionally, shablon carried pattern, memory, and knowledge across surfaces and generations.
I’m drawn to it because the process mirrors how systems learn. Each painting is constructed through many layers, applied one at a time. No single pass carries meaning. Patterns emerge through accumulation. Gold circuitry, dot fields, birds, crabs, sails, and wind and currents surface gradually, recording iteration. Shablon is how I build a mosaic of layers, a mixed form that comes together through patterns and choice.
The ospreys, herons, ducks, and crabs are signals within the system. The circuitry dissolves into the Bay. Nature, data, and community are inseparable here, just as they are in life along the water.
These paintings are my visual interpretation of how the Chesapeake Bay thinks, learns, and remembers. Built through layered shablon, they move between deep Bay blues and luminous golds, holding water and sky alongside signal, circuitry, and shared intelligence. Moon and sun rhythms appear as circular forms and data clouds, echoing tides, time, and cycles beyond any single moment.
Bay Intel is on view at Gallery 57 West in Annapolis and is available for sale. I invite you to experience the work in person and spend time with the Bay as one does with art, allowing patterns and meanings to emerge through the work.
Editorial note: I used AI to help shape and refine this blog.
