Hello Interactors,
It’s been a while. Traveling for family, and a bit flooded by the relentless sneaker waves of unsavory world events — the kind that usually inspire me to write but lately threaten to pull me under.
Spring in the northern hemisphere means Interplace turns to geographic information science and spatial analysis. How might we look at the complex unfolding of world events through this lens — and what happens when we push it further than emergence alone can carry it? That’s what I attempt to explore here.
PATTERNS PRECEDING PHYSICAL PLACES
Geographic information science is a relatively recent field. It emerged from mid-20th-century cartography and land-use planning. Computer cartography and quantitative geography of the 1960s is often considered the first true digital Geographic Information Systems (GIS). It became a science (GIScience or GISc) in the late 1980s and early 1990s when Michael Goodchild questioned if there was a genuine scientific discipline lurking within the software.
His answer was yes. He built an institutional home for that argument at the National Center for Geographic Information and Analysis at the University of California, Santa Barbara, my alma mater. Goodchild was my senior advisor in 1989 as UCSB was becoming a generative intellectual hub in the field. UCSB’s geography department continues to push the question of what space means analytically, not just how to map it. I’m personally invested in better understanding how GISc may be a natural partner for complexity science, a field I’ve been attracted to since I started researching and writing.
This partnership isn’t new. GISc provides a powerful framework for dissecting the spatial dimensions of complexity, where systems defy reductionist analysis and emerge through nonlinear interactions. In the early 2000s, geographer David O’Sullivan, and others, articulated this as the study of
“the behaviour of macroscopic collections of many basic but interacting units endowed with the potential to evolve in time”
emphasizing these characteristic elements of complexity science: self-organization, path dependence, and the irreducibility of wholes to their parts. Around the same time, sociologist John Urry (and others) extended this to global scales, portraying globalization as co-evolving systems marked by unpredictability, irreversibility, and positive feedback loops that amplify disorder within pockets of order.
These parings are a good start, but computational biologist Michael Levin offers what can be seen as a genuinely unsettling upgrade. His recent work on the origin of cognitive and morphological patterns suggests the dominant appeal to emergence as an explanatory endpoint may itself be, in his words, a “mysterian” position — one that “does not facilitate further advances.” When a surprising pattern appears in a complex system, the emergentist says “that’s just what happens” and catalogs it.
But Levin proposes these patterns are not random facts to be noted and admired. They are part of an ordered, non-physical space that physical systems, when configured the right way, ingress into. Ingression is a term Levin borrows from mathematician Alfred North Whitehead as a potential that timeless abstract objects possess to become actual concrete experiences. “Red” only becomes red when its potential is realized.
These ‘ordered spaces’ of potential are portals into what Levin calls a Platonic Space. Plato argued that the objects we encounter in the world are imperfect instances of perfect, eternal Forms that exist independently of any physical thing. The most primitive form being the triangle. Levin’s argument is the triangle participates in a kind of Triangleness; it realizes it’s potential to exist.
Nature keeps arriving at triangles independently, across wildly different substrates, as if drawn by the same attractor. The triangle is the only polygon that is inherently rigid: push on any corner and the shape holds, which is why trusses, bridges, and bones all rely on triangular geometry for structural strength. Radiolarians, single-celled ocean organisms with no brain and no blueprint, construct intricate skeletal lattices of triangulated geometry at microscopic scales.
In Levin’s terms, nature is ingressing Triangleness — repeatedly, across billions of years and countless lineages — because the Form has properties that reward any physical system stable enough to express it. The truth that a triangle’s angles sum to exactly 180 degrees owed nothing to the first organism that built one.
Physical systems are, in this sense, less like containers and more like pointers — a term borrowed from computer science. Pointers are variables that hold the addresses that reference more information. Levin’s framework requires a specific kind of pointer: not a pointer to stored data, which retrieves a static value, but a pointer to a subroutine that calls up a routine that executes complex actions and outputs beyond the pointer itself. The pointer is small, while the executed routine may be vast and behave unpredictably.
Think of a street address. The address itself contains nothing — it is a short string of numbers and words that fits on an envelope — but hand it to the right system and it retrieves a house, a history, a neighborhood, everything that has ever happened inside those walls. This is Levin’s claim about physical structures. A genome, a city, an institution doesn’t contain its pattern so much as it points at one — and when the pointer is well-formed, you get considerably more out than you put in.
What does this mean for GISc? It means that spatial configurations — cities, borders, trade corridors, migration routes — are not merely sites where local interactions produce global outcomes. They are interfaces into a latent pattern space. When a hub city emerges, when a colonial border persists for centuries past the empire that drew it, when a pandemic spreads exactly along the topology of air travel, we are not only witnessing the consequential mechanical emergence of patterns derived from local rules. We are watching physical structures act as pointers that summon — ingress — specific patterns of collective behavior, whose full complexity exceeds what was put in. Levin’s core observation about biological morphogenesis translates here with uncomfortable precision.
Consider one of his more unsettling tadpole experiments. The creation of its normal bulging eyes are suppressed (by microscopically manipulating cellular ‘software’) and a replacement eye is instead induced — ingressed — on the tail. The optic nerve growing from that tail-eye doesn’t connect to the brain — it terminates somewhere around the spinal cord. By any conventional account, the animal should be blind. It isn’t. The tadpoles can still see and perform well in visual tasks. Somehow, the system routes around its own abnormal wiring to recover function. The pattern being pointed to — sight — was never housed in the eye itself, or in the specific neural pathway, or in any single component. The eye on the tail is a wildly improbable pointer, and yet it retrieves something far richer than its own structure contains. You get considerably more out than you put in.
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