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?
     

• 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.
     

• 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?

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.
     

• 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.
     

• 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.
     

• 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.

3. AI and Cultural Heritage

• Preservation
   

  • Digitization of artifacts and intangible heritage using AI.
     

  • Predictive tools for conserving endangered cultural materials.
     

• 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.
     

• 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.

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.
     

• Risks
   

  • Surveillance capitalism and authoritarian uses of AI.
     

  • Labor market disruptions and social inequality.
     

  • Epistemic risks: over-trusting machine intelligence in social research.
     

• 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.

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 marcovcrivellaro@gmail.com