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AI and Smart Data for Digital Humanities

CALL FOR PAPERS

AI and Smart Data for Digital Humanities: Global Achievements and China’s Innovations

In Routledge Book Series Digital Humanities and Intelligent Computing

The biennial Open Access book series, Digital Humanities and Intelligent Computing, is published by Routledge, Taylor & Francis Group. It is organised by Intelligent Computing Laboratory for Cultural Heritage (ICLCH) at the Centre for Digital Humanities, Wuhan University. The book series offers a global perspective on the latest advancements and trends in digital humanities and intelligent computing of cultural heritage, covering both academic research and case studies within cultural institutions. Following the release of the initial volume on Intelligent Computing for Cultural Heritage in 2024, the next volume calls for contributions on the theme of AI and Smart Data for Digital Humanities.

Artificial Intelligence (AI) is becoming a driving force in the field of Digital Humanities (DH), which plays a significant role in shaping research and methodologies while bringing new possibilities and challenges in generating trustable data for diverse cultural heritage entities that are required for DH research. From big data to smart data, and now in the new era of AI, researchers in DH continue to explore new concepts, methodologies, and practices. It is certain that smart data, the ability to achieve big insights from trusted, contextualised, relevant, cognitive, predictive, and consumable data at any scale, will continue to have extraordinary values in DH. AI and smart data are transforming the way scholars engage with data and enhancing their abilities to access and reuse diverse data, unearth patterns and connections formerly hidden from view, reconstruct the past, discover the impacts and values of qualitative and quantitative variables in both real and virtual environments, and bring the knowledge of the complex intricacies of human society to light. With the support of AI, smart data grants big insights and reveals the most important V(value) of big data, which empowers researchers to achieve deeper understanding and outcomes.

We invite scholars and experts to contribute papers exploring the theoretical developments, methodological advancements, applications, and challenges of developing AI and smart data in DH, while investigating how AI-driven tools and methods can facilitate the research and dissemination of DH. This call for papers aims to bring together the latest research findings to advance the AI and smart data for DH.

Editors

  • Xiaoguang Wang, Deputy Dean and Professor, School of Information Management, Wuhan University, China
  • Marcia Lei Zeng, Professor, School of Information, Kent State University, USA
  • Jin Gao, Lecturer in Digital Archives, Department of Information Studies, University College London, UK
  • Ke Zhao, PhD Researcher, School of Information Management, Wuhan University, China

Scope and Contents

The volume is divided into two main parts: Global creative approaches and Innovative practices in China. Within each country or region, contributors can provide an overall overview or analyse a specific topic with case studies.

  • Global creative approaches. This part contains papers written by overseas authors to present the latest developments in theoretical approaches, research projects, research platforms, and any academic or practical research related to AI and smart data for DH.
  • Innovative practices in China. This part focuses on the development of AI and smart data for DH research in China and best practices of well-known libraries, archives, museums, and other cultural institutions.

Contributors are encouraged to write a paper specifically for the book. Significantly extended version of already published works and conference or workshop papers (essentially 30% novel content) are welcome. Contributors need to obtain any required permissions when the manuscript is ready for delivery.

Submission formats

Abstract

  • 100–300 words
  • Written in the third person e.g. ‘this chapter discusses’, rather than ‘I discuss’
  • Self-contained, without abbreviations, footnotes, or incomplete references
  • Contributors list
    • Sentence biography
    • To include name, affiliation, country, brief (50 words) professional biography
    • ORCID number
    • Email

Full paper

  • 6000 – 12000 words
  • APA Style (7th edition)
  • In English
  • Further details will be provided later

No AI-based tools and technologies for content generation

Please do not use AI-based tools and technologies for chapter/book content generation, e.g. large language models (LLMs), generative AI, and chatbots (e.g. ChatGPT), which is not in line with Routledge authorship criteria.

Provisional schedule

  • 31 October 2024: Submit an abstract of your paper to Ke ZHAO (ke.zhao.zk@outlook.com)
  • December 2024: Notification of acceptance of abstracts
  • 10 April 2025: Full papers due. Submit manuscripts to Ke ZHAO (ke.zhao.zk@outlook.com)
  • June 2025: Notifications of acceptance of manuscripts and revision requests
  • September 2025: Revised manuscripts due
  • November 2025: Final version confirmation
  • 2026: Publication