LaTeX Research Posters

Overview

Research posters are a critical medium for scientific communication at conferences, symposia, and academic events. This skill provides comprehensive guidance for creating professional, visually appealing research posters using LaTeX packages. Generate publication-quality posters with proper layout, typography, color schemes, and visual hierarchy.

When to Use This Skill

This skill should be used when:

• Creating research posters for conferences, symposia, or poster sessions
• Designing academic posters for university events or thesis defenses
• Preparing visual summaries of research for public engagement
• Converting scientific papers into poster format
• Creating template posters for research groups or departments
• Designing posters that comply with specific conference size requirements (A0, A1, 36×48", etc.)
• Building posters with complex multi-column layouts
• Integrating figures, tables, equations, and citations in poster format

AI-Powered Visual Element Generation

STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the LaTeX poster.

This is the recommended approach for creating visually compelling posters:

1. Plan all visual elements needed (title, intro, methods, results, conclusions)
2. Generate each element using scientific-schematics or Nano Banana Pro
3. Assemble generated images in the LaTeX template
4. Add text content around the visuals

Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.

CRITICAL: Preventing Content Overflow

⚠️ POSTERS MUST NOT HAVE TEXT OR CONTENT CUT OFF AT EDGES.

Common Overflow Problems:

1. Title/footer text extending beyond page boundaries
2. Too many sections crammed into available space
3. Figures placed too close to edges
4. Text blocks exceeding column widths

Prevention Rules:

1. Limit Content Sections (MAXIMUM 5-6 sections for A0):

✅ GOOD - 5 sections with room to breathe:
   - Title/Header
   - Introduction/Problem
   - Methods
   - Results (1-2 key findings)
   - Conclusions

❌ BAD - 8+ sections crammed together:
   - Overview, Introduction, Background, Methods, 
   - Results 1, Results 2, Discussion, Conclusions, Future Work

2. Set Safe Margins in LaTeX:

% tikzposter - add generous margins
\documentclass[25pt, a0paper, portrait, margin=25mm]{tikzposter}

% baposter - ensure content doesn't touch edges
\begin{poster}{
  columns=3,
  colspacing=2em,           % Space between columns
  headerheight=0.1\textheight,  % Smaller header
  % Leave space at bottom
}

3. Figure Sizing - Never 100% Width:

% Leave margins around figures
\includegraphics[width=0.85\linewidth]{figure.png}  % NOT 1.0\linewidth

4. Check for Overflow Before Printing:

# Compile and check PDF at 100% zoom
pdflatex poster.tex

# Look for:
# - Text cut off at any edge
# - Content touching page boundaries  
# - Overfull hbox warnings in .log file
grep -i "overfull" poster.log

5. Word Count Limits:

• A0 poster: 300-800 words MAXIMUM
• Per section: 50-100 words maximum
• If you have more content: Cut it or make a handout

CRITICAL: Poster-Size Font Requirements

⚠️ ALL text within AI-generated visualizations MUST be poster-readable.

When generating graphics for posters, you MUST include font size specifications in EVERY prompt. Poster graphics are viewed from 4-6 feet away, so text must be LARGE.

⚠️ COMMON PROBLEM: Content Overflow and Density

The #1 issue with AI-generated poster graphics is TOO MUCH CONTENT. This causes:

• Text overflow beyond boundaries
• Unreadable small fonts
• Cluttered, overwhelming visuals
• Poor white space usage

SOLUTION: Generate SIMPLE graphics with MINIMAL content.

MANDATORY prompt requirements for EVERY poster graphic:

POSTER FORMAT REQUIREMENTS (STRICTLY ENFORCE):
- ABSOLUTE MAXIMUM 3-4 elements per graphic (3 is ideal)
- ABSOLUTE MAXIMUM 10 words total in the entire graphic
- NO complex workflows with 5+ steps (split into 2-3 simple graphics instead)
- NO multi-level nested diagrams (flatten to single level)
- NO case studies with multiple sub-sections (one key point per case)
- ALL text GIANT BOLD (80pt+ for labels, 120pt+ for key numbers)
- High contrast ONLY (dark on white OR white on dark, NO gradients with text)
- MANDATORY 50% white space minimum (half the graphic should be empty)
- Thick lines only (5px+ minimum), large icons (200px+ minimum)
- ONE SINGLE MESSAGE per graphic (not 3 related messages)

⚠️ BEFORE GENERATING: Review your prompt and count elements

• If your description has 5+ items → STOP. Split into multiple graphics
• If your workflow has 5+ stages → STOP. Show only 3-4 high-level steps
• If your comparison has 4+ methods → STOP. Show only top 3 or Our vs Best Baseline

Content limits per graphic type (STRICT):

Example - WRONG (7-stage workflow - TOO COMPLEX):

# ❌ BAD - This creates tiny unreadable text like the drug discovery poster
python scripts/generate_schematic.py "Drug discovery workflow showing: Stage 1 Target Identification, Stage 2 Molecular Synthesis, Stage 3 Virtual Screening, Stage 4 AI Lead Optimization, Stage 5 Clinical Trial Design, Stage 6 FDA Approval. Include success metrics, timelines, and validation steps for each stage." -o figures/workflow.png
# Result: 7+ stages with tiny text, unreadable from 6 feet - POSTER FAILURE

Example - CORRECT (simplified to 3 key stages):

# ✅ GOOD - Same content, split into ONE simple high-level graphic
python scripts/generate_schematic.py "POSTER FORMAT for A0. ULTRA-SIMPLE 3-box workflow: 'DISCOVER' → 'VALIDATE' → 'APPROVE'. Each word in GIANT bold (120pt+). Thick arrows (10px). 60% white space. NO substeps, NO details. 3 words total. Readable from 10 feet." -o figures/workflow_overview.png
# Result: Clean, impactful, readable - can add detail graphics separately if needed

Example - WRONG (complex case studies with multiple sections):

# ❌ BAD - Creates cramped unreadable sections
python scripts/generate_schematic.py "Case studies: Insilico Medicine (drug candidate, discovery time, clinical trials), Recursion Pharma (platform, methodology, results), Exscientia (drug candidates, FDA status, timeline). Include company logos, metrics, and outcomes." -o figures/cases.png
# Result: 3 case studies with 4+ elements each = 12+ total elements, tiny text

Example - CORRECT (one case study, one key metric):

# ✅ GOOD - Show ONE case with ONE key number
python scripts/generate_schematic.py "POSTER FORMAT for A0. ONE case study card: Company logo (large), '18 MONTHS' in GIANT text (150pt), 'to discovery' below (60pt). 3 elements total: logo + number + caption. 50% white space. Readable from 10 feet." -o figures/case_single.png
# Result: Clear, readable, impactful. Make 3 separate graphics if you need 3 cases.

Example - WRONG (key findings too complex):

# BAD - too many items, too much detail
python scripts/generate_schematic.py "Key findings showing 8 metrics: accuracy 95%, precision 92%, recall 94%, F1 0.93, AUC 0.97, training time 2.3 hours, inference 50ms, mo