Exibith: Intrecci Nascosti / Hidden Interconnections

From June 27 to July 10, 2024, the Sala delle Monofore at the Complex of Santa Maria in Gradi, Viterbo, hosted Intrecci Nascosti (Hidden Interconnections), an innovative exhibition exploring the link between art, data, and science.

The exhibition showcased how advanced computational methods can transform abstract data into visual expressions of aesthetic and conceptual beauty.

Art Meets Science

Using techniques from Network Science, the exhibition reinterprets the evolution of energy commodity prices as visual networks, where data points become nodes and relationships among them unfold as intricate webs of connections.

Each image originates from real statistical data which are transformed through sophisticated graph-based algorithms into patterns of color, geometry, and motion.

These intricate structures reveal hidden symmetries and correlations within the dynamics of economic systems. What appears at first glance as abstract art is, in fact, a rigorous visualization of real-world complexity — an aesthetic translation of the mathematical rules that shape the global energy landscape. Lines, clusters, and gradients correspond to relationships of dependence and influence, reflecting the rhythms of supply, demand, and volatility that drive markets over time.

Through the use of Graph Machine Learning, each composition becomes a fusion of mathematical precision and creative expression. Algorithms trained to detect community structures, connectivity, and temporal transitions turn raw numerical data into visual narratives — representations of the invisible forces that connect economies, technologies, and human behavior.

In this way, the exhibition invites viewers to see data not merely as information, but as a living network — a form of collective intelligence where science and art converge to reveal the beauty hidden within complexity.

The images focus on U.S. electricity markets, oil, gas, and interest rates, offering a synthetic macroeconomic perspective that connects energy systems with financial dynamics.

By combining art and scientific computation, Hidden Interconnections illustrates how mathematical modeling can inspire artistic expression, helping the public see data not as abstraction, but as a narrative of knowledge and beauty.