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Causal mapping – overview
Task 1 – Gathering causal mapping data
Task 2 – Causal coding – minimalist style
Task 2 & 3 Key ideas and conventions
Task 3 – Answering questions – General
Task 3 – Answering questions – Individual questions
Causal mapping in evaluation
Causal Mapping as QDA
Causal Map app and alternatives
Deductive coding with AI
Inductive coding with AI
AI in qualitative social science
Qualia
Case studies
AI and the wider world
Finally
Causal Map App
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Tasks 2 & 3 – Introduction
Simplification - co-terminal link bundles
Our approach is algorithmic
Hierarchical coding
Causal mapping looks for linearity first
➕➖ Opposites
Context
Plain coding
Table features – Statistical tests of group differences
Reporting global and local network statistics
Simplification - factor and link frequency
Simplification - hierarchical zooming
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Case Studies
AI-assisted causal mapping. Uncovering causal pathways with INTRAC
Case study – our 'seamless stories' workflow in practice
Case study – Qualia asks about USA problems, again
DUOC UC. Evaluating Gender Equity in STEM with AI-Driven Interviews
Strengthening OH with causal mapping
Tree Aid - Empowering Communities Through Forest Management in Burkina Faso
Using AI to facilitate feedback on the learning experiences of doctoral students
Papers and Drafts
A formalisation of causal mapping
A simple measure of the goodness of fit of a causal theory to a text corpus
Assessing change in (cognitive models of) systems over time
Causal mapping as causal QDA
Combining opposites, sentiment
Despite-claims
Lonely in London
Magnetisation
Minimalist coding for causal mapping
Our paper on an inductive workflow to gather and analyse evidence at scale.
{'Date': '11/12/2025'}
AI-assisted causal mapping. Uncovering causal pathways with INTRAC
{'Date': '27/02/2025'}
Case study – Qualia asks about USA problems, again
🌻 Simplification - factor and link frequency
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4 Nov 2025