Connecting Codes: AI, Digital Humanities, and the Future of Information

This area explores how AI technologies intersect with human expertise in research, description, interpretation, and authorship. We welcome critical and practice-based perspectives on human–AI collaboration, including how workflows, responsibilities, scholarly labor, and professional roles are evolving within libraries, cultural institutions, and research environments in African and global contexts.

This area invites contributions on digital humanities methods broadly conceived, including computational analysis, data modeling, metadata creation, visualization, and platform development. Submissions may also address non-computational and hybrid approaches, with particular attention to multilingual, low-resource, and context-specific practices in African and diasporic settings.

This area focuses on ethical, legal, and social questions surrounding AI and digital scholarship, including bias, accountability, intellectual property, data governance, and consent. We welcome work that critically examines responsible, inclusive, and culturally appropriate approaches to technology, particularly in relation to African communities, collections, and knowledge traditions.

This area highlights libraries, archives, museums, and other memory institutions as active sites of digital humanities practice, stewardship, and innovation. Topics may include digitization, preservation, access, community-engaged heritage work, and the use—or critique—of AI and digital tools in managing, describing, and interpreting cultural heritage.

This area focuses on education, training, and professional development related to digital humanities and AI in academic, cultural, and community settings. Submissions may address curriculum design, skills development, mentorship, institutional capacity building, and strategies for supporting students and early-career professionals.