Neel Shivdasani

Code, growth, and the aesthetics of emergent systems

Neel Shivdasani makes generative art by building systems whose consequences exceed their initial instructions. In Tropism, graph logic becomes an image of growth, influence, and accumulated change.

Artist
Neel Shivdasani · neel.sh/tropism ↗
Raster
raster.art/artist/neel-shivdasani ↗
Based
Atlanta, Georgia
Practice
Generative and code-based art shaped by mathematics, graph structures, emergence, animation, and interactive systems
In the set
Tropism ↗ · 500 editions
Links
Full bibliography ↗

Neel Shivdasani approaches code not simply as an efficient instrument for producing images, but as a medium capable of memory, revision, and surprise. His practice developed from an affinity for mathematics and programming, fields that gave him a viable route into visual art when conventional forms of drawing or painting had seemed less accessible. In a 2025 interview, Shivdasani recalled that seeing artists work with code and mathematics made artistic production newly legible to him. He began pursuing creative coding after realizing that he missed writing code in his professional life.1 This origin matters because his work does not disguise its computational basis. It asks what aesthetic experience becomes possible when rules, errors, iterations, and discoveries remain active within the finished system.

Tropism, released through Art Blocks Factory on December 16, 2021, is the defining early statement of that inquiry. The collection contains exactly 500 editions.2 Its title names the directional growth of an organism in response to an environmental stimulus. Shivdasani translates that biological idea into computational terms: a stable graph is subjected to successive operations, and local alterations propagate through the structure. Amy Goodchild identifies this cascading behavior as an example of emergence in generative art, where relatively comprehensible procedures produce visual consequences that cannot be apprehended all at once.3

The result is neither a literal botanical illustration nor an abstract diagram stripped of metaphor. Each output appears to have grown through exposure. Dense clusters, branching paths, knots, interruptions, and open intervals register the history of a system being acted upon. The images make influence visible without reducing it to a single cause.

A graph that remembers

The graph is central to Tropism because it supplies both structure and vulnerability. A graph can be described as a set of points connected by relationships, but Shivdasani treats that mathematical framework as a plastic field. Its stability provides the conditions for transformation. Once the system begins to modify connections and redistribute effects, the initial organization persists only as a kind of memory. The finished image records what the graph has undergone.

This distinction separates Tropism from work in which randomness serves principally as surface variation. Here, variation is consequential. A change at one location alters the possibilities available elsewhere. The process therefore has a temporal character even when encountered as a still image. Viewers read accumulations, congested regions, sudden clearings, and directional sweeps as evidence of earlier events. The composition is a terminal state, but it also implies a sequence.

Shivdasani has summarized his broader working method as looking for one artwork and finding another, a remark recorded by Goodchild in an essay about discovery and authorship in generative practice.4 That formulation offers an especially useful way to understand Tropism. The artist defines the territory of possibility, then follows behaviors that the system reveals. Surprise does not eliminate authorship. Instead, authorship consists partly in recognizing which unexpected behaviors deserve refinement, preservation, and further pressure.

His account of constant revision reinforces this point. Shivdasani has described code as material that can be copied, modified, and carried from one project into the next. In his telling, later works may preserve techniques written years earlier, even as their conceptual framing and output change.1 The algorithm is therefore less like a sealed recipe than a studio object with a history. Bugs, experiments, peer influence, and repeated adjustments become embedded in its operation.

Growth without illustration

The biological language of tropism gives the collection an interpretive frame, but the work remains persuasive because it does not settle into representation. Its forms can suggest roots, vascular systems, fungal networks, neural maps, or urban infrastructures. No single analogy dominates. Instead, the project draws attention to a shared organizational principle: complex forms arise when connected elements respond unevenly to pressure.

That ambiguity is productive. It lets the outputs move between organism and diagram, intuition and calculation. The graph supplies a rational skeleton while the accumulation of effects generates textures that feel bodily or environmental. The images appear at once designed and discovered. This dual character is a recurring strength of generative art, whose authors establish procedures but cannot manually compose every feature of every output.

Goodchild’s discussion of emergence places Tropism beside other systems in which repeated local operations generate large-scale order.3 In Shivdasani’s collection, emergence is not merely a technical achievement. It is the subject. The project proposes that growth can be understood as responsiveness, and that identity may be the visible residue of many encounters. The title consequently describes the code, the image, and the project’s own development through years of tinkering.

Tropism presents form as a history of responses: every cluster and opening seems to preserve an encounter between structure and stimulus.

The 500-edition scale is significant to this argument. A single output could demonstrate the visual appeal of the algorithm, but the collection reveals the breadth and limits of the system. Repetition establishes a family resemblance, while variation tests how far that identity can stretch. Art Blocks’ official record confirms both the collection size and its 2021 release date.2 Viewed serially, the works function as observations from a shared artificial ecology.

From screen to situated encounter

Tropism also entered a physical exhibition context in Atlanta. In 2022, WABE reported that the work was shown at DIGATL in Underground Atlanta, an exhibition built around large-scale projections, interactive installations, animation, and virtual reality.5 That presentation altered the conditions of attention. A generative image encountered on a luminous architectural display is no longer only an owned token or browser-based output. It becomes spatial, public, and collective.

The Atlanta context is relevant to Shivdasani’s practice. General Assembly identified him as an Atlanta-based data-science product manager and founder of GASP Gallery, a platform conceived to let buyers customize unique generative prints.6 These concerns anticipate the way Tropism can migrate among browser, token, print, and projection without losing its procedural identity.

This attention to translation continued in Motion Pictures, a later Art Blocks project. Art Blocks records it as a collection of 100 unique artworks.7 The OpenSea interview describes that project as a generative adaptation of barrier-grid animation, with six interlaced frames activated through interaction and capable of physical printing.1 Although formally distinct from Tropism, it extends the same fundamental interest: a coded structure becomes meaningful through transformation. In one project, changes cascade through a graph. In the other, movement emerges from layered frames and the viewer’s manipulation.

The continuity is conceptual rather than stylistic. Shivdasani’s systems invite users to see computation as behavior. They do not present code as invisible infrastructure behind an image. They make its operations perceptible through growth, animation, response, and variation.

The agency of revision

A productive tension runs throughout Shivdasani’s practice. Generative systems appear autonomous, yet their autonomy is carefully cultivated. The artist writes rules, observes their effects, chooses among divergent paths, and revises the system. What looks spontaneous is supported by sustained technical judgment. What looks predetermined remains open to error and discovery.

Shivdasani’s professional history in data science and product development supplies context for this iterative approach, although the art cannot be reduced to a technical résumé. General Assembly’s profile links his data-science work to his founding of GASP Gallery, while his later interview describes the return to creative coding as a response to missing code in his professional routine.61 More revealing is his emphasis on reusing old techniques and allowing a project to solidify through experimentation. The studio process resembles research, but its criterion is aesthetic conviction rather than optimization alone.

This makes Tropism an important study in procedural authorship. The project does not ask whether the artist or computer made the image, a question that tends to flatten the collaboration into competing claims. It asks how authorship operates across stages: constructing a graph, choosing transformations, noticing emergent effects, establishing parameters, and releasing a bounded collection. The computer executes and surprises. The artist frames, evaluates, and revises.

The collection’s enduring interest lies in this negotiated agency. Its images are records of a system responding to itself, but they are also records of an artist learning from a system over time. Tropism converts that recursive relationship into visual form. Across 500 editions, growth becomes both mechanism and metaphor, joining mathematics to a broader account of how artworks, organisms, and practices acquire their shape.

AB[500] x 1 Tropism · 500 editions Generative graphs Emergent systems Code-based art Art Blocks Factory

Bibliography

The references cited in this essay are listed below. For the complete bibliography see the Neel Shivdasani links page ↗.

References

  1. OpenSea’s 2025 Marfa interview documents Shivdasani’s entry into creative coding, iterative method, and barrier-grid animation project. OpenSea interview
  2. Art Blocks records Tropism as a 500-work Factory collection released on December 16, 2021. Art Blocks collection
  3. Amy Goodchild’s essay on emergence explains Tropism’s stable graphs and cascading procedural effects. emergence essay
  4. Amy Goodchild’s essay on generative process records Shivdasani’s account of seeking one artwork and discovering another. process essay
  5. WABE documents Tropism’s inclusion in the 2022 DIGATL exhibition at Underground Atlanta. WABE exhibition report
  6. General Assembly identifies Shivdasani’s Atlanta base, data-science work, and founding of GASP Gallery. professional profile
  7. Art Blocks documents Motion Pictures as a collection of 100 unique artworks. later collection

Cite: AB5D, “Neel Shivdasani”, AB[500] artist dossier, ab5d.xyz, 2026 · ab5d.xyz/artists/neel-shivdasani/

Authored by gpt-5.6-sol (AB5D structured pipeline) · supervised · ~181K input / 5K output tokens · 19 sources verified · 2026-07-11