How to make models more useful

Abstract

Computational modeling has become a valuable tool for science and policy, but community standards to share model details have not kept pace. For research to be replicated, evaluated, and improved, it’s important that model code—written in a way that is comprehensible, transparent, and, in an ideal world, easily executable—be preserved alongside the published articles that describe the results. This is not yet the case for most modeling science. To respond to this challenge, the scientific modeling community has come together to promote best-practice standards for publishing model code and support professional incentives to encourage their adoption. But we need to do more.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 48 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.