Prokopis A. Christou is an Assistant Professor at the Cyprus University of Technology. He has published books and articles in various academic journals. His interest in AI stems from his observation that it is becoming increasingly useful in research, yet is associated with a number of risks. As such, he is investigating the implications, potentials, dynamics, limitations and perils of AI in research, society, and different social fields, such as education.

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• Chapter 1: Introducing "Artificial Intelligence (AI) in Social Research" PART A: AI and Social Research Implications Chapter 2: The Interconnection of AI and Social Research Chapter 3: Using Generative AI for Creativity and Automating Time-consuming Tasks in Research Chapter 4: Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Chapter 5: Using AI Agents in Quantitative Social Research Chapter 6: AI Augmented Qualitative Analysis: Is it the Right Choice for your Study? Chapter 7: Generative AI: A Catalyst for Paradigmatic Change in Qualitative Data Analysis Chapter 8: A Guide for Qualitative Researchers Using Large Language Models with Representative Examples Using ChatGPT Chapter 9: AI in Ethnography - Challenges and Collaborations Chapter 10: Exploring Research Design in the Context of Artificial Intelligence: Evidence-based Recommendations for Social Research and Practice PART B: AI and Social Research Rigor, Bias, and Ethical Considerations Chapter 11: Machine Learning Bias: Genealogy, Expression and Prevention Chapter 12: Rigor in Qualitative and Quantitative Studies that Make Use of AI Tools: Reliability, Validity, Credibility, Transferability, Dependability, and Confirmability Issues Chapter 13: The Ethical Implications of Using AI in Qualitative Research PART C: AI and Research Within Various Social Contexts, and Case Studies Chapter 14: Precision Nudging: The Future of Behaviour Change Chapter 15: Competence Frameworks for Exploring Generative AI in Education Chapter 16: Data Collection Methods in the Age of Artificial Intelligence: Insights From a Survey-based Study on College Students’ Perceptions and Use of AI Chapter 17: Artificial Intelligence and International Business Chapter 18: AI Systems Employed in Archaeological Research for Ancient Artefacts - A Dilemma Chapter 19: Conclusion

Prokopis A. Christou is an Assistant Professor at the Cyprus University of Technology. He has published books and articles in various academic journals. His interest in AI stems from his observation that it is becoming increasingly useful in research, yet is associated with a number of risks. As such, he is investigating the implications, potentials, dynamics, limitations and perils of AI in research, society, and different social fields, such as education.

Select Guide Rating

• Chapter 1: Introducing "Artificial Intelligence (AI) in Social Research" PART A: AI and Social Research Implications Chapter 2: The Interconnection of AI and Social Research Chapter 3: Using Generative AI for Creativity and Automating Time-consuming Tasks in Research Chapter 4: Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Chapter 5: Using AI Agents in Quantitative Social Research Chapter 6: AI Augmented Qualitative Analysis: Is it the Right Choice for your Study? Chapter 7: Generative AI: A Catalyst for Paradigmatic Change in Qualitative Data Analysis Chapter 8: A Guide for Qualitative Researchers Using Large Language Models with Representative Examples Using ChatGPT Chapter 9: AI in Ethnography - Challenges and Collaborations Chapter 10: Exploring Research Design in the Context of Artificial Intelligence: Evidence-based Recommendations for Social Research and Practice PART B: AI and Social Research Rigor, Bias, and Ethical Considerations Chapter 11: Machine Learning Bias: Genealogy, Expression and Prevention Chapter 12: Rigor in Qualitative and Quantitative Studies that Make Use of AI Tools: Reliability, Validity, Credibility, Transferability, Dependability, and Confirmability Issues Chapter 13: The Ethical Implications of Using AI in Qualitative Research PART C: AI and Research Within Various Social Contexts, and Case Studies Chapter 14: Precision Nudging: The Future of Behaviour Change Chapter 15: Competence Frameworks for Exploring Generative AI in Education Chapter 16: Data Collection Methods in the Age of Artificial Intelligence: Insights From a Survey-based Study on College Students’ Perceptions and Use of AI Chapter 17: Artificial Intelligence and International Business Chapter 18: AI Systems Employed in Archaeological Research for Ancient Artefacts - A Dilemma Chapter 19: Conclusion

Prokopis A. Christou is an Assistant Professor at the Cyprus University of Technology. He has published books and articles in various academic journals. His interest in AI stems from his observation that it is becoming increasingly useful in research, yet is associated with a number of risks. As such, he is investigating the implications, potentials, dynamics, limitations and perils of AI in research, society, and different social fields, such as education.

Select Guide Rating

• Chapter 1: Introducing "Artificial Intelligence (AI) in Social Research" PART A: AI and Social Research Implications Chapter 2: The Interconnection of AI and Social Research Chapter 3: Using Generative AI for Creativity and Automating Time-consuming Tasks in Research Chapter 4: Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Expanding the Frontiers: Revolutionizing Quantitative Data Analysis in Social Sciences with AI Chapter 5: Using AI Agents in Quantitative Social Research Chapter 6: AI Augmented Qualitative Analysis: Is it the Right Choice for your Study? Chapter 7: Generative AI: A Catalyst for Paradigmatic Change in Qualitative Data Analysis Chapter 8: A Guide for Qualitative Researchers Using Large Language Models with Representative Examples Using ChatGPT Chapter 9: AI in Ethnography - Challenges and Collaborations Chapter 10: Exploring Research Design in the Context of Artificial Intelligence: Evidence-based Recommendations for Social Research and Practice PART B: AI and Social Research Rigor, Bias, and Ethical Considerations Chapter 11: Machine Learning Bias: Genealogy, Expression and Prevention Chapter 12: Rigor in Qualitative and Quantitative Studies that Make Use of AI Tools: Reliability, Validity, Credibility, Transferability, Dependability, and Confirmability Issues Chapter 13: The Ethical Implications of Using AI in Qualitative Research PART C: AI and Research Within Various Social Contexts, and Case Studies Chapter 14: Precision Nudging: The Future of Behaviour Change Chapter 15: Competence Frameworks for Exploring Generative AI in Education Chapter 16: Data Collection Methods in the Age of Artificial Intelligence: Insights From a Survey-based Study on College Students’ Perceptions and Use of AI Chapter 17: Artificial Intelligence and International Business Chapter 18: AI Systems Employed in Archaeological Research for Ancient Artefacts - A Dilemma Chapter 19: Conclusion