AI in qualitative research: Using large language models to code survey responses in native languages
Food systems research - and more generally, policy and development research -often relies on structured surveys, administrative data, or experiments. While these approaches yield valuable quantitative insights, they tend to miss critical qualitative dimensions. One useful qualitative approach is ope...
| Main Authors: | , |
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| Format: | Blog Post |
| Language: | Inglés |
| Published: |
International Food Policy Research Institute
2025
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| Online Access: | https://hdl.handle.net/10568/178199 |
| _version_ | 1855540473474580480 |
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| author | Singh, Tushar Kumar, Himangshu |
| author_browse | Kumar, Himangshu Singh, Tushar |
| author_facet | Singh, Tushar Kumar, Himangshu |
| author_sort | Singh, Tushar |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Food systems research - and more generally, policy and development research -often relies on structured surveys, administrative data, or experiments. While these approaches yield valuable quantitative insights, they tend to miss critical qualitative dimensions. One useful qualitative approach is open-ended interview questions. When such responses are collected in participants' native languages, they can provide rich and nuanced information-for example, on the complex local challenges smallholder farmers face. |
| format | Blog Post |
| id | CGSpace178199 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1781992025-11-25T20:10:16Z AI in qualitative research: Using large language models to code survey responses in native languages Singh, Tushar Kumar, Himangshu digital technology artificial intelligence large language models languages Food systems research - and more generally, policy and development research -often relies on structured surveys, administrative data, or experiments. While these approaches yield valuable quantitative insights, they tend to miss critical qualitative dimensions. One useful qualitative approach is open-ended interview questions. When such responses are collected in participants' native languages, they can provide rich and nuanced information-for example, on the complex local challenges smallholder farmers face. 2025-07-10 2025-11-25T19:51:16Z 2025-11-25T19:51:16Z Blog Post https://hdl.handle.net/10568/178199 en Open Access International Food Policy Research Institute Singh, Tushar; and Kumar, Himangshu. 2025. AI in qualitative research: Using large language models to code survey responses in native languages. IFPRI Blog Post. https://www.ifpri.org/blog/ai-in-qualitative-research-using-large-language-models-to-code-survey-responses-in-native-languages/ |
| spellingShingle | digital technology artificial intelligence large language models languages Singh, Tushar Kumar, Himangshu AI in qualitative research: Using large language models to code survey responses in native languages |
| title | AI in qualitative research: Using large language models to code survey responses in native languages |
| title_full | AI in qualitative research: Using large language models to code survey responses in native languages |
| title_fullStr | AI in qualitative research: Using large language models to code survey responses in native languages |
| title_full_unstemmed | AI in qualitative research: Using large language models to code survey responses in native languages |
| title_short | AI in qualitative research: Using large language models to code survey responses in native languages |
| title_sort | ai in qualitative research using large language models to code survey responses in native languages |
| topic | digital technology artificial intelligence large language models languages |
| url | https://hdl.handle.net/10568/178199 |
| work_keys_str_mv | AT singhtushar aiinqualitativeresearchusinglargelanguagemodelstocodesurveyresponsesinnativelanguages AT kumarhimangshu aiinqualitativeresearchusinglargelanguagemodelstocodesurveyresponsesinnativelanguages |