A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Paper in Evaluation journal
Posts
Take responsibility: Another DO and another DON’T when using AI for text analysis.
🤔 Can we solve all or some of our evaluation and research questions by just delegating them to an AI? In this second post in a series of AI Do's and Don'ts, Steve Powell argues how wrong this picture is.
Open-source causal mapping functions
Over the last three years we have developed a whole range of algorithms for causal mapping. The algorithms are published open-source in the form of functions for the programming language R.
Why do causal mapping rather than ordinary QDA?
I've got a load of texts to analyse, can I use Causal Map just for standard Qualitative Data Analysis, like ordinary thematic analysis, to identify important themes?
