The AI+ Library — byStraits Institute for Applied AI
AI+Libraryby Straits Institute for Applied AI
Catalogue/Tier 3 · Job Skills/Research & Media
AI+ Laboratory Research & Experimental Design cover
T3-85 · Tier 3 · Job Skills

AI+ Laboratory Research & Experimental Design

Design Rigorous Experiments and Get to Results Faster with AI

Design Better Experiments. Get to Results That Last.

Most experimental science is underpowered, underdocumented, and under-designed — not because researchers are careless, but because experimental design is rarely taught. AI+ Laboratory Research & Experimental Design gives bench researchers the DESIGN Protocol: a six-stage framework — Define, Establish, Size, Implement, Generate, Narrate — that integrates AI across every stage of the experimental lifecycle, from hypothesis to manuscript. Built by an AI engineering firm for researchers who run the experiments that science depends on — and who deserve better than inherited conventions.

Tier
Tier 3 · Job Skills
Category
Research & Media
Format
Guide
Updated
Q2 2026
Digital Edition
US$58
Read on iG PublishingSee in 4 reading paths
Inside
  • The full DESIGN Protocol with a pre-experiment quality checklist and AI design audit prompt
  • Power analysis in plain terms — how to calculate the sample size your study actually needs, before you collect a single observation
  • 14 copy-ready prompt templates for protocol drafting, SOP generation, data QC, statistical test selection, methods section writing, and discussion structuring
  • A practical guide to FAIR data principles and Documentation Debt — turning lab knowledge from memory into reproducible records
  • Five AI-specific integrity risks every experimental researcher must know, and the safeguards for each
  • A 90-day integration plan with a DESIGN self-assessment and week-by-week actions
Who this is for

PhD students and postdoctoral researchers in bench-based disciplines — life sciences, chemistry, physics, biochemistry, materials science, and engineering — who are responsible for designing, running, and reporting experiments. Also junior principal investigators setting up lab programmes for the first time.

Also for:R&D scientists in pharmaceutical, biotech, agritech, and materials companies who design and run experiments under commercial pressures; research technicians who manage experimental protocols and data quality in a lab environment.

You’ll be able to
  • Apply the DESIGN Protocol to structure any experiment from initial curiosity to documented hypothesis with defined success criteria
  • Calculate appropriate sample size and statistical power before data collection, selecting the correct test design for the research question
  • Develop reproducible experimental protocols and AI-assisted lab documentation that meet FAIR data principles
  • Use AI tools for data quality control, pattern detection, and statistical analysis while maintaining scientific rigour and researcher oversight
  • Write clear, publication-ready results and methods sections using AI as a drafting assistant, and articulate where AI was used in the research process
What’s inside
Diagnostic
How AI-ready is your experimental practice?
Chapter 1
AI in the Laboratory Right Now
Chapter 2
From Curiosity to Testable Hypothesis
Chapter 3
Experimental Design and the DESIGN Protocol
Chapter 4
Statistical Power, Sample Size, and Study Architecture
Chapter 5
Protocol Development and Lab Documentation
Chapter 6
Data Collection, Lab Notebooks, and Quality Control
Chapter 7
AI-Assisted Analysis and Interpretation
Chapter 8
Writing Up: From Results to Manuscript
Chapter 9
Reproducibility, Integrity, and Open Science
Chapter 10
Your 90-Day AI Research Lab Plan
Back matter
Skill Summary · Recommended Next Reads · Glossary · Tool Reference

Built by an AI engineering firm for researchers who run the experiments that science depends on — and who deserve better than inherited conventions.

Appears in 4 reading paths
IND-01The Healthcare AI BundleROL-03The Researcher's AI BundleSKL-02The AI Research BundleSTU-02The Postgraduate & Research Bundle
Reads well with

Often read alongside this title.

How this was made

AI+ Laboratory Research & Experimental Design is written by AI engineers who build production AI systems, then pressure-tested by professionals who apply the skill in their work. It is reviewed every six months and updated whenever the technology or regulation shifts.

Our editorial approach →