A workflow for collecting and understanding stories at scale, supported by artificial intelligence DOI
Steve Powell, Gabriele Caldas Cabral,

hannah Mishan

и другие.

Evaluation, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

This article presents an artificial intelligence-assisted causal mapping pipeline for gathering and analysing stakeholder perspectives at scale. Evidence relevant to constructing a programme theory, as well evidence the influences flowing through it, are both collected same time, without evaluator needing possess prior theory. The method uses intelligence interviewer conduct interviews, automated coding identify claims in transcripts, synthesise visualise results. authors tested this approach by interviewing participants about problems facing United States. Results indicate that can efficiently collect process qualitative data, producing useful maps capture respondents’ views. discusses potential of evaluation, enabling rapid, large-scale analysis. It also notes limitations ethical concerns, emphasising need human oversight verification.

Язык: Английский

A workflow for collecting and understanding stories at scale, supported by artificial intelligence DOI
Steve Powell, Gabriele Caldas Cabral,

hannah Mishan

и другие.

Evaluation, Год журнала: 2025, Номер unknown

Опубликована: Апрель 15, 2025

This article presents an artificial intelligence-assisted causal mapping pipeline for gathering and analysing stakeholder perspectives at scale. Evidence relevant to constructing a programme theory, as well evidence the influences flowing through it, are both collected same time, without evaluator needing possess prior theory. The method uses intelligence interviewer conduct interviews, automated coding identify claims in transcripts, synthesise visualise results. authors tested this approach by interviewing participants about problems facing United States. Results indicate that can efficiently collect process qualitative data, producing useful maps capture respondents’ views. discusses potential of evaluation, enabling rapid, large-scale analysis. It also notes limitations ethical concerns, emphasising need human oversight verification.

Язык: Английский

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