From pattern formation and nonlinear mechanics to scientific institutions, reliability, and experimental design: reproducible computation, explicit assumptions, and honest limits turn models into testable research questions.
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Two spatial maps can share a convincing least-cost explanation without revealing the history that produced them. A controlled unbalanced optimal transport study separates endpoint fit, numerical convergence and evidence for movement versus local growth.
Delayed regional totals can support a precise-looking estimate without tightly constraining the hidden state. A six-region synthetic SIR benchmark compares ensemble intervals with validated set bounds, including the cost of bounds that become almost useless.
Equal update counts do not guarantee stable feedback. A delayed two-choice model shows why allowing one extra slot between updates can stabilize a system, and why its smallest fairness relaxation is not its fastest schedule.