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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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Pages
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Pages in this chapter
How to – in the Causal Map app. Introduction
Example views (example-original)
Manually code your first project
Bulk relabelling factors
Formatting your map for what you want to show
Print view of links
Translate factor labels
Vignettes
Autocoding with AI
Adding and using custom columns for your links
Recoding labels temporarily
Comparing groups
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Tags
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Tags
Bath Sdr
AgDevCo, Uganda
Concern Worldwide, Malawi
Diageo, Kenya
Fairtrade, Cote D'Ivoire
Feed the Children, Kenya
GirlEffect, Rwanda
Kantar Public
Mannion Daniels
OPM, Ghana, Mastercard
Opportunity International, Ghana
Pilot Universal Child Benefit Programme in Kenya, UNICEF Kenya
Power to Change, UK, 2020
Save the Children, Zimbabwe
Southern Hemisphere, Love Alliance
UNICEF Innocenti. Qualitative Study of the Social Cash Transfer Programme in Urban Zambia
UNICEF study uses Causal Map to explore complex drivers of child work in India
Voscur
World Concern. Evaluating a Holistic Community Development Program with QuIP and Causal mapping
Case Studies
A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Add Qualia to your next bid
AgDevCo, Uganda
AI-assisted causal mapping. Uncovering causal pathways with INTRAC
An M&E time machine. Using AI to measure changes in a system across a time period
Cactus Research, Kings College
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
Chartered Management Institute
Comparing a Fine-Tuned Model to an Engineered Prompt in the Context of Causal Connections in a Passage of Text
Concern Worldwide, Malawi
Creative Home Delivery Service, PSU
Diageo, Kenya
DUOC UC. Evaluating Gender Equity in STEM with AI-Driven Interviews
Everyone Counts, Covid Edition. Chapter 6, On the Front Line, Stories of the Volunteers
Exploring the Role of Social Protection in UK Asylum-Seeker Wellbeing Using Human Scale Development Theory
Fairtrade, Cote D'Ivoire
Feed the Children, Kenya
ForumFed. Strengthening Federal Governance and Pluralism in Ethiopia
GirlEffect, Rwanda
GYA, Global Young Academy
Include Causal Map and QualiaInterviews in your next bid
Kantar Public
Mannion Daniels
MK Institut, Mission und Kirche
Nepal Earthquake Federation-wide Meta-evaluation
OPM, Ghana, Mastercard
OPM, Tanzania
OPM, Zambia
Opportunity International, Ghana
Partner Ring, ACI, Australia
Pilot Universal Child Benefit Programme in Kenya, UNICEF Kenya
Power to Change, UK, 2020
Power to Change, UK, 2021
Save the Children, Zimbabwe
Southern Hemisphere, Love Alliance
Strengthening OH with causal mapping
Tearfund
Thinking together within and beyond Communities of Practice
Together for Change, Solvacare
Tree Aid - Empowering Communities Through Forest Management in Burkina Faso
UNDP Chile
UNICEF Innocenti. Qualitative Study of the Social Cash Transfer Programme in Urban Zambia
UNICEF study uses Causal Map to explore complex drivers of child work in India
Using AI to facilitate feedback on the learning experiences of doctoral students
Using QuIP and Causal Map in an Evaluation, a WFP interview with DeftEdge
Voscur
What drives group learning, PLI
World Concern. Evaluating a Holistic Community Development Program with QuIP and Causal mapping
World Food Programme, Forcier Consulting
Dual Column
A workflow for collecting and understanding stories at scale – Summary (eval2025)
AI-assisted causal mapping – Summary (validation)
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
AI coding overview
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
Causal mapping of loneliness interviews
Combining opposites, sentiment
Despite-claims
Lonely in London
Lonely in London response
Magnetisation
Minimalist coding for causal mapping
Our paper on an inductive workflow to gather and analyse evidence at scale.
Quality assurance and rigour in causal mapping – ensuring robust conclusions and inferences
Transforms Filters
Collapsing factor labels and excluding brackets
{'Date': '27/02/2025'}
Case study – Qualia asks about USA problems, again
PDF
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🌻 Autocoding with AI
There is a whole chapter on this:
Intro — auto-coding with AI