A workflow for collecting and understanding stories at scale, supported by artificial intelligence
Paper in Evaluation journal
# Theory
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Theory
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.
Our seamless stories workflow in practice
An evaluation project about gender gaps faced by women pursuing STEM careers at DuocUC.
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?
