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Causal mapping – overview
Task 1 – Gathering causal mapping data
Task 2 – Causal coding – minimalist style
Task 2 – Coding with AI
Task 2 & 3 – Extensions
Task 3 – Answering questions – General
Task 3 – Answering questions – Individual questions
Causal mapping in evaluation
Causal Mapping as QDA
Causal Map app and alternatives
AI in qualitative social science
How to – in the Causal Map app
Qualia
Case studies
For consultants
AI and the wider world
Finally
Causal Map App
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Task 2 – Introduction
Our approach is minimalist – we code only bare causation
Our approach clearly distinguishes evidence from facts and does not automatically warrant causal inferences
Our approach is minimalist – factors are not variables
A minimalist approach to coding helps capture what people actually say
A minimalist approach to coding makes aggregation easier
A minimalist approach to coding does not code absences
Our approach is minimalist – we do not code the strength of a link
In a causal mapping dataset there is no need for a special table of factors
Factor labels – a creative challenge
Factor label tags – coding factor metadata within its label
Factor labels – semi-quantitative formulations can help
Causal mapping looks for linearity first
Factor labels – do not over-generalise
Coding with and using link metadata
Link metadata – Sentiment
Link metadata – Time reference
Link metadata – quality of evidence
Research on the ability of LLMs to detect causal claims
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Case Studies
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AI-assisted causal mapping. Uncovering causal pathways with INTRAC
Can AI accurately map causal claims - A validation study
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
Include Causal Map and QualiaInterviews in your next bid
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
Filters
Path tracing and source tracing
Papers and Drafts
A formalisation of causal mapping
A simple measure of the goodness of fit of a causal theory to a text corpus
Animated social map around Donald Trump
Animated social map of US news
Assessing change in (cognitive models of) systems over time
Causal mapping as causal QDA
Combining opposites, sentiment
Despite-claims
Lonely in London
Lonely in London response
Lonely in London with causal mapping
Magnetisation
Minimalist coding for causal mapping
Our paper on an inductive workflow to gather and analyse evidence at scale.
Transforms Filters
Collapsing factor labels and excluding brackets
{'Date': '27/02/2025'}
Case study – Qualia asks about USA problems, again
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🌻 Link metadata – quality of evidence
24 Oct 2025