算法艺术创作
algorithmic-art
通过代码和可调参数创作生成艺术与交互式视觉效果。
isr-tables-figures【设计与创意】Use when designing the exhibits for an Information Systems Research (ISR) manuscript — correlation/measurement tables, estimation results, model/equilibrium figures, design-science evaluation tables, and the split between main text and the electronic companion under ISR's 32-page text / 38-page total cap. Finalizes exhibits; it does not run the analy…
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ISR caps manuscripts at 32 pages of text and no more than 38 pages including all material (references, appendixes, tables, figures). This discipline is tighter than many peer journals, so exhibits must earn their place. Treat the electronic companion / online appendix (published if accepted) as the home for everything that supports but does not carry the argument: full proofs and lemmas, complete measurement items and scale sources, additional robustness, and large auxiliary tables. Keep in the body only the exhibits a reader needs to follow the core claim.
Follow INFORMS exhibit conventions; every table and figure must be self-contained (title, units, N, significance notes, and what the reader should conclude) so it reads without the prose. Number consistently and ensure every exhibit is referenced and interpreted in the text — no orphan tables.
Generate exhibits from the fitted result, not by retyping numbers (the usual source of
body-vs-appendix drift). Full map: execution-with-mcp. ISR is empirical IS with strong econometric and experimental work; identification (DiD / IV) for observational claims, randomization inference for experiments.
etable (multi-model columns) or did_summary_to_latex straight from the
result_id.plot_from_result / enhanced_event_study_plot / event_study_table —
axis units and the SE/clustering note baked in.See a full fitted-result → exhibit chain in the JF execution walkthrough.
Run this as a concrete capability pass. First lock the digital artifact or system, user/firm behavior, identification or design evidence, and IS-theory contribution; then test whether the manuscript addresses IS reviewers who expect digital-technology theory, empirical or design leverage, and implications for organizations or markets.
claim / evidence / blocker / next edit rows so the next pass can patch the manuscript directly.resources/official-source-map.md for volatile rules and name the one unresolved fact that could change the recommendation.【Genre exhibits】[...]
【Body vs companion split】[...]
【Page budget】32 text / 38 total: ok? [...]
【Self-containment】[...]
【House style】INFORMS conventions: pass/fix
【Next step】isr-writing-style