AI in Social Sciences Research
AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machin...
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| Glavni autori: | , , , |
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| Format: | Online |
| Jezik: | engleski |
| Izdano: |
Taylor & Francis
2026
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| Teme: | |
| Online pristup: | ONIX_20260621T103021_9781040960783_23 |
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| _version_ | 1869526507917934592 |
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| author | Sułkowski, Łukasz Lis, Marcin Ratajczak, Sabina Dacko-Pikiewicz, Zdzisława |
| author_browse | Dacko-Pikiewicz, Zdzisława Lis, Marcin Ratajczak, Sabina Sułkowski, Łukasz |
| author_facet | Sułkowski, Łukasz Lis, Marcin Ratajczak, Sabina Dacko-Pikiewicz, Zdzisława |
| author_sort | Sułkowski, Łukasz |
| collection | Directory of Open Access Books |
| description | AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machine learning (ML), natural language processing (NLP), simulation, and generative AI (GAI) for social researchers while keeping ethics, bias, transparency, and interpretability in view. Designed for postgraduate students, early-career researchers, and instructors teaching digital and computational social science (CSS) methods, the book supports readers who want to use AI with methodological care, not just technical speed. |
| format | Online |
| id | doab-20.500.12854ir-177776 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2026 |
| publishDateRange | 2026 |
| publishDateSort | 2026 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1777762026-06-22T05:09:31Z AI in Social Sciences Research Sułkowski, Łukasz Lis, Marcin Ratajczak, Sabina Dacko-Pikiewicz, Zdzisława Computational social science Digital ethnography Research ethics in AI Algorithmic bias Qualitative data analysis Interdisciplinary methodology Responsible AI for social research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics AI in Social Sciences Research explains how artificial intelligence (AI) is reshaping social inquiry, from data collection and research design through analysis, interpretation, and theory-building. Treating AI as both a tool kit and a methodological shift, the volume offers a clear route into machine learning (ML), natural language processing (NLP), simulation, and generative AI (GAI) for social researchers while keeping ethics, bias, transparency, and interpretability in view. Designed for postgraduate students, early-career researchers, and instructors teaching digital and computational social science (CSS) methods, the book supports readers who want to use AI with methodological care, not just technical speed. 2026-06-22T05:09:30Z 2026-06-22T05:09:30Z 2026-06-21T15:57:35Z 2026 book book ONIX_20260621T103021_9781040960783_23 https://library.oapen.org/handle/20.500.12657/114340 9781040960783 9781040960813 9781003790358 https://directory.doabooks.org/handle/20.500.12854/177776 eng New Methodologies of Research for PhD and Beyond open access image/jpeg Attribution 4.0 International https://library.oapen.org/bitstream/20.500.12657/114340/1/9781040960783.pdf Taylor & Francis Routledge 10.4324/9781003790358 10.4324/9781003790358 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 3983007a-5726-4f1e-b9df-3fbc771f2916 b77fb797-b1d1-44fb-a755-1b44fe24463c 9781040960783 9781040960813 9781003790358 Routledge 164 Oxford [...] European Commission European Union 10.13039/501100000780 open access |
| spellingShingle | Computational social science Digital ethnography Research ethics in AI Algorithmic bias Qualitative data analysis Interdisciplinary methodology Responsible AI for social research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics Sułkowski, Łukasz Lis, Marcin Ratajczak, Sabina Dacko-Pikiewicz, Zdzisława AI in Social Sciences Research |
| title | AI in Social Sciences Research |
| title_full | AI in Social Sciences Research |
| title_fullStr | AI in Social Sciences Research |
| title_full_unstemmed | AI in Social Sciences Research |
| title_short | AI in Social Sciences Research |
| title_sort | ai in social sciences research |
| topic | Computational social science Digital ethnography Research ethics in AI Algorithmic bias Qualitative data analysis Interdisciplinary methodology Responsible AI for social research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics |
| topic_facet | Computational social science Digital ethnography Research ethics in AI Algorithmic bias Qualitative data analysis Interdisciplinary methodology Responsible AI for social research thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPS Research methods: general thema EDItEUR::J Society and Social Sciences::JH Sociology and anthropology::JHB Sociology::JHBC Social research and statistics |
| url | ONIX_20260621T103021_9781040960783_23 |
| work_keys_str_mv | AT sułkowskiłukasz aiinsocialsciencesresearch AT lismarcin aiinsocialsciencesresearch AT ratajczaksabina aiinsocialsciencesresearch AT dackopikiewiczzdzisława aiinsocialsciencesresearch |