About
Research Program
Coordination Science Research is an independent research program investigating universal scaling laws in coordination systems — asking why radically different systems (biological organisms, software teams, financial markets, trust networks) exhibit the same mathematical regularities when they grow.
The program develops and tests a unified framework showing that capacity constraints force coordination systems into one of two stable regimes: hierarchical optimization (Class T, yielding economies of scale) or multiplicative competition (Class M, yielding concentration and heavy tails). This draws on spectral graph theory, the West-Brown-Enquist model of biological scaling, Landau-Ginzburg phase transition theory, and cross-domain empirical analysis.
Approach
The central insight is that coordination problems are substrate-independent: whether the agents are neurons, people, firms, or nodes in a trust graph, the mathematical constraints on collective behavior are the same. This cross-domain approach produces falsifiable predictions that can be tested against existing data using established statistical methodology (Clauset-Shalizi-Newman, heat kernel trace, Maslov-Sneppen null models). All primary analyses use publicly available datasets.
Principal Investigator
Independent researcher based in Como, Italy. Background in cryptographic systems, distributed coordination protocols, and applied trust network design — providing an unusually concrete perspective on the problems that formal coordination theory addresses abstractly. The theoretical framework emerged from years of observing the same failure patterns across radically different systems and asking whether those regularities could be derived rather than merely described.