Skills Soft Skills Designing Review Exhibits for Academia

Designing Review Exhibits for Academia

v20260724
arecon-tables-figures
A guide for creating high-impact academic exhibits for literature reviews (e.g., Annual Reviews of Economics). It teaches how to synthesize findings into structured formats, including 'Who-found-what' summary tables, conceptual framework diagrams, and meta-evidence plots. The focus is on synthesizing existing knowledge across studies, not presenting original estimates. Essential for communicating complex, cross-field research findings to non-specialists.
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Overview

Tables & Figures for a Review (arecon-tables-figures)

When to trigger

  • The synthesis is done and an adjacent-field reader needs to see the field at a glance
  • A controversy or a body of estimates would be clearer as a table than as prose
  • The organizing framework would land better as a diagram
  • You are tempted to paste a regression table — but this is a review, not a primary paper

The three exhibit types an ARE review actually uses

ARE exhibits summarize across the literature; they do not present the author's own estimation. The workhorses:

Exhibit Purpose Design notes
Who-found-what summary table one row per study (or per design class): question/estimand, method, sample, finding (direction + magnitude), credibility note rows ordered by the framework's cells, not chronology; columns let the reader compare comparable objects
Conceptual / framework figure render the organizing spine — taxonomy tree, mechanism diagram, the simple unifying model this is often the review's signature exhibit; it should be restate-able from memory by a non-specialist
Meta-evidence exhibit a forest-style plot, a timeline of methods, a coverage map use only when the estimates are commensurable; otherwise it manufactures false consensus

Building a credible summary table

  • Compare like with like. Group studies that estimate the same object; never put non-comparable estimands in one magnitude column (the cross-study pooling error from arecon-evidence-standards).
  • Carry uncertainty and credibility. A finding column without a credibility/identification note invites the question "but how good is that study?" — answer it in the table.
  • Self-contained captions. An ARE exhibit is read on its own by an outsider; the caption states what the table shows, the unit, how to read a row, and the source studies.
  • Source every cell. Each entry traces to a paper in the evidence matrix; an unsourced number in a review of record is indefensible.

The conceptual figure is ARE's signature

Because the readership is cross-field, the framework figure carries disproportionate weight: it is what an adjacent economist remembers and reuses. Invest in one diagram that renders the spine cleanly — a taxonomy tree, a mechanism flow, or the simple model — so a reader who recalls nothing else can reconstruct the field's structure from it. Annual Reviews production supports full-color figures; design for legibility in the published two-column format and confirm current figure specs on the author pages (检索于 2026-06;以官网为准).

Meta-analysis caution

If you assemble effect sizes into a quantitative synthesis (forest plot, meta-regression), you are doing a meta-analysis, with its assumptions — comparable estimands, publication-bias diagnostics, weighting. Do this only where the literature genuinely supports it; otherwise a qualitative who-found-what table is more honest than a spurious pooled number. ARE readers include the methodologists who would catch invalid pooling. If you do run a meta-analysis, its data/code should be reproducible (see arecon-submission).

Reproduced vs. re-drawn figures

When a figure from a reviewed paper is central, prefer a re-drawn synthesis figure (your own panel placing several studies on common axes) over copying one paper's exhibit — it serves the review's argument and avoids consensus-by-accident. If you reproduce an original figure, attribute it and secure any permission Annual Reviews requires (检索于 2026-06;以官网为准).

Checklist

  • Each exhibit synthesizes across studies (no original-estimate regression output)
  • Summary-table rows ordered by framework cells; only comparable estimands share a column
  • Finding columns carry a credibility/identification note, not bare point estimates
  • The conceptual figure renders the spine and is restate-able from memory by a non-specialist
  • Any meta-evidence plot pools only commensurable estimates; bias diagnostics noted
  • Captions are self-contained (what / unit / how to read a row / sources)
  • Every cell sources to a paper in the evidence matrix
  • Figure specs / permissions confirmed against current Annual Reviews author pages (volatile)

Anti-patterns

  • Pasting a regression table of the author's own new estimates — a review reports no new results
  • A who-found-what table that pools incomparable estimands into one magnitude column
  • A forest plot implying a pooled consensus the literature does not support
  • Finding columns with no credibility note (every reader then asks "is that study any good?")
  • A decorative figure that does not encode the framework — wasting the review's signature exhibit
  • Exhibits whose captions require the body text to be intelligible (fails the cross-field reader)

Output format

【Exhibit set】<list: summary tables / conceptual figure / meta-evidence>
【Summary table】rows by framework cell; comparable estimands only? Y/N
【Credibility column】present for every finding? Y/N
【Conceptual figure】renders the spine; restate-able from memory? Y/N
【Meta-evidence】pools only commensurable estimates (or omitted)? Y/N
【Sourcing】every cell traces to the evidence matrix? Y/N
【Specs/permissions】confirmed on Annual Reviews author pages? Y/N · 待核实
【Next step】→ arecon-writing-style (weave exhibits into the synthesis prose)
Info
Category Soft Skills
Name arecon-tables-figures
Version v20260724
Size 5.78KB
Updated At 2026-07-28
Language