Research Methodologies & Automation

AI-Assisted Research

Toward rigorous and automated scientific workflows.

Focus: Research automation 5 published articles

Overview

AI assistance does not merely speed up research; it shifts the dominant bottleneck. When synthesis and generation become cheap and fluent, epistemic control becomes the scarce resource. Synthetic systems can propose artifacts at scale, but science remains dependent on explicit assumptions, adversarial scrutiny, and reproducible validation.

This section explores the methodologies, principles, and architectural requirements for integrating AI into scientific and rigorous analytical workflows. The goal is to move beyond superficial "AI co-pilots" toward a Practical System 2 for AI-Assisted Research—where AI accelerates generation, but acceptance is gated through independent validation, explicit semantics, and auditable traces.

Published Articles

  1. MRP Foundations

    Scientific Inquiry as a Succession of Interpretive Regimes

    Moving beyond monolithic models of scientific reasoning.

    Published April 16, 2026.
  2. Systems Design

    Architectural Elements of Regime-Sensitive Research Copilots

    Designing for operational clarity and epistemic reliability.

    Published April 16, 2026.
  3. Scientific Variation

    Disciplinary Profiles in Automated Research

    Adapting regime-sensitive architectures to the needs of different sciences.

    Published April 16, 2026.
  4. Strategic Foundations

    Toward the Automation of Scientific Research

    Why the time has come for structured automation of the scientific process.

    Published March 24, 2026.
  5. Methodology

    Toward a Practical System 2 for AI-Assisted Research

    Principles, failure modes, and evaluation signals for rigorous, auditable workflows.

    Published March 19, 2026.