Call for Book Chapters: AI in Social Sciences
Vernon Press invites submissions for the edited volume "AI in Social Sciences"
Artificial Intelligence (AI) is no longer confined to engineering and computer science; it is transforming the very foundations of the social sciences. This edited volume, AI in Social Sciences (working title), invites contributions that critically and creatively examine how AI is reshaping knowledge production, methodologies, and practices across disciplines such as sociology, anthropology, political science, history, cultural studies, and communication.
We welcome proposals that engage with (but are not limited to) the following themes:
AI and Epistemology in the Social Sciences
- New Paradigms
- How is AI transforming social scientific inquiry?
- What hybrid approaches (quantitative + qualitative) are emerging?
- Does AI redefine what counts as “evidence” in the social sciences?
- How is AI transforming social scientific inquiry?
- Methodological Innovations
- Machine learning and big data for sociological or anthropological insights.
- Natural language processing for historical and cultural texts.
- Agent-based modeling and simulations of social systems.
- Machine learning and big data for sociological or anthropological insights.
- Limitations and Challenges
- Can AI adequately account for context, nuance, and cultural specificity?
- Risks of bias, reductionism, or over-reliance on algorithmic methods.
- What remains uniquely human in interpretation and meaning-making?
- Can AI adequately account for context, nuance, and cultural specificity?
2. AI and Society
- Misinformation and Public Opinion
- AI’s role in producing, spreading, or countering misinformation.
- Influence on electoral politics, protest movements, and civic engagement.
- Echo chambers and polarization in AI-driven media environments.
- AI’s role in producing, spreading, or countering misinformation.
- Education and Learning
- AI tutors, adaptive learning, and their broader social implications.
- Equity and access in AI-powered education systems.
- Critical pedagogy in the era of generative AI.
- AI tutors, adaptive learning, and their broader social implications.
- Policy and Governance
- How AI informs—or distorts—public policy.
- Algorithmic decision-making in governance and justice.
- Global disparities in AI adoption, regulation, and oversight.
- How AI informs—or distorts—public policy.
- Critical Information Literacy
- Empowering citizens to engage critically with AI-generated content.
- Digital literacy for navigating algorithmic media ecosystems.
- Interventions to counter manipulation and surveillance.
- Empowering citizens to engage critically with AI-generated content.
3. AI and Cultural Heritage
- Preservation
- Digitization of artifacts and intangible heritage using AI.
- Predictive tools for conserving endangered cultural materials.
- Digitization of artifacts and intangible heritage using AI.
- Interpretation
- AI as a tool for new readings of historical archives and cultural data.
- Risks of distortion, oversimplification, or erasure in automated interpretation.
- Cross-cultural translation and reinterpretation of narratives.
- AI as a tool for new readings of historical archives and cultural data.
- Accessibility
- AI for expanding access to heritage materials (e.g., translation, VR/AR).
- Democratization of cultural resources through AI.
- Inclusion versus exclusion in digital heritage platforms.
- AI for expanding access to heritage materials (e.g., translation, VR/AR).
4. Future Horizons
- Ethical Challenges
- Bias, transparency, and accountability in AI systems.
- Privacy, consent, and data ownership in social science research.
- Human dignity and agency in AI-mediated societies.
- Bias, transparency, and accountability in AI systems.
- Risks
- Surveillance capitalism and authoritarian uses of AI.
- Labor market disruptions and social inequality.
- Epistemic risks: over-trusting machine intelligence in social research.
- Surveillance capitalism and authoritarian uses of AI.
- Transformative Potentials
- Interdisciplinary futures blending AI with sociology, anthropology, political science, and history.
- Creative collaborations between AI and human imagination.
- How AI might help reimagine justice, equity, and collective futures.
- Interdisciplinary futures blending AI with sociology, anthropology, political science, and history.
Submission Guidelines
Contributions may range from conceptual reflections to applied case studies, and should aim to bridge human-centered perspectives with technology-oriented approaches. This volume seeks original, unpublished work that has not been submitted elsewhere.
- Abstract (max 500 words) submission deadline: November 30, 2025
- Notification of acceptance: By December 21, 2025
- Full manuscript (7,000-8,000 words) deadline: April 12, 2026
Chapter Proposal Submission
Please submit an abstract in English, along with a brief biographical note (max. 350 words), to Dr. Marco V. Crivellaro (Volume Editor) at crivellarom@acs.gr
Page last updated on October 3rd 2025. All information correct at the time, but subject to change.