Open Book Proposal – Call for Chapter Submissions
Title: Generative AI-Enhanced Research: Ethical, Practical, and Transformative Approaches
Book Type: Open Access Edited Volume Copyright: CC BY-NC-ND
Proposed publication date: August 2026
Chapter abstracts due: 30 June 2025
Overview: This book aims to serve as a comprehensive resource for researchers, academics, and students on the use of generative AI-enhanced research tools throughout the research process. With the increasing integration of artificial intelligence into research methodologies, there is an urgent need to explore both the practical benefits and the ethical challenges associated with these tools. The book will provide critical insights, practical guidance, and ethical reflections on the use of generative AI in research and how AI is reshaping the way research is conceptualized, conducted, and published. By offering perspectives from experienced researchers and early-career scholars alike, this edited volume will serve as a key reference for the use of AI within academic research.
Expression of Interest (EOI) for Chapter Contributions:
The editorial team invites scholars, researchers, developers and practitioners to contribute chapters to this edited open-access volume on AI-enhanced research. Submissions should be original contributions that align with the themes outlined. We encourage case studies, theoretical explorations, as well as practical chapters that will provide readers with actionable insights.
Please click 'next' at the bottom of the page to submit chapter proposal abstracts.
Submission Guidelines:
- Authors should submit a 500-word chapter proposal abstract outlining their proposed contribution, including its objectives, methodology (if applicable), and key takeaways.
- Abstracts should be accompanied by a short biography (150 words) detailing each author’s academic background and research expertise.
- Authors of accepted chapters will need to sign a University of Southern Queensland, Memorandum of Understanding for open texts.
- Once accepted, full chapters will need to be submitted by 1 December 2025.
- Full chapter submissions (if accepted) should be between 5,000-7,000 words, following APA 7th referencing style.
- All full chapters will be double-blind peer reviewed. Chapter authors will be expected to review at least 2 other submitted chapters.
Editors:
Dr Douglas Eacersall – University of Southern Queensland
A/Prof Aleta Villanueva – University of the Philippines, Open University
Dr Lynette Pretorius – Monash University
Dr Nicole Horst – University of Cambridge
Dr Anne Wolfes – University of Oxford
Dr Rian Roux - University of Southern Queensland
Publisher: University of Southern Queensland, Pressbook. For an example of the type of publication please see - Academic Success. Chapters will be indexed on Google Scholar and the publisher is able to provide comprehensive statistics on the impact (views and downloads) of the work.
Proposed Sections and Chapters:
We welcome submissions on any topic related to AI-enhanced research, including conceptual papers, empirical research studies, and practical guidance on research practice. The following section and chapter suggestions highlight key areas of interest, but potential authors can also propose their own topics within the broader theme of generative AI’s role in the research process.
Section 1: Ethical and Theoretical Considerations
- Ethical Challenges and Considerations in generative AI-Enhanced Research
Chapters might examine the ethical dilemmas associated with AI in research, including issues of bias, transparency, and accountability. They could explore frameworks for responsible AI use and propose guidelines for maintaining research integrity when using AI tools.
- AI, Research Integrity, and Academic Misconduct
Chapters might explore concerns around academic dishonesty, data fabrication, and AI-generated content. They could examine whether AI tools make misconduct easier or whether they can help prevent unethical practices.
- The Role of Human Oversight in generative AI-Assisted Research
Chapters might discuss the balance between human expertise and AI-driven automation. They might examine the risks of over-reliance on AI and the importance of maintaining human critical thinking in research processes.
Section 2: Generative AI in Research Design and Literature Review
- AI and Research Project Conceptualization
Chapters could explore how AI can assist researchers in formulating research questions, identifying gaps in literature, and designing research methodologies. They might also address potential limitations of AI-generated research ideas and the need for human oversight.
- AI Tools for Literature Search and Review
Chapters might analyse how AI can streamline literature searches, automate systematic reviews, and assist with meta-analyses. They could also explore how researchers can critically assess AI-recommended sources and avoid algorithmic bias in literature selection.
- AI for Citation Management and Reference Accuracy
Chapters might explore how AI tools help researchers manage citations, detect errors in referencing, and ensure proper attribution of sources.
Section 3: Generative AI in Data Collection and Analysis
- AI-Assisted Data Collection and Analysis
Chapters might examine how AI can support qualitative and quantitative data collection, from survey automation to text mining. They could also discuss AI-driven statistical analysis, pattern recognition, and machine learning applications in research.
- AI in Qualitative Research: Enhancing or Undermining Interpretative Methods?
Chapters might discuss the role of AI in qualitative research methodologies, exploring tools for coding interview data and detecting patterns in textual analysis.
- AI and Big Data in Research: Opportunities and Challenges
Chapters might explore how AI can process large datasets, identify trends, and generate predictive insights. They could also discuss the ethical implications of AI-driven data analysis.
Section 4: Generative AI in Writing, Publishing, and Dissemination
- AI in Academic Writing and Publishing
Chapters might investigate the role of AI in drafting research papers, improving writing clarity, and generating citations. They could also explore AI tools for editing, plagiarism detection, and adherence to journal formatting guidelines.
- AI and the Peer Review Process
Chapters could explore how AI is transforming the peer review process, including automated manuscript screening and AI-assisted reviewer recommendations. They might also discuss AI-driven methods for enhancing research visibility and impact.
- AI for Research Dissemination and Public Engagement
Chapters might examine how AI can assist researchers in promoting their work, engaging with the public, and translating research into accessible formats.
Section 5: Generative AI and Research Training, Critical Thinking, and Future Trends
- AI Use Among Research Students
Here, chapters might analyse how research students are engaging with AI tools in their academic work. They could discuss best practices for integrating AI into research training, supervision, and skill development.
- AI and Critical Thinking in Research
These chapters might investigate whether AI tools enhance or hinder critical thinking. They could explore how researchers can use AI to support, rather than replace, analytical reasoning and scholarly debate.
- The Future of AI in Research: Emerging Trends and Innovations
Chapters could explore upcoming AI technologies and their potential impact on future research methodologies. They might address interdisciplinary collaboration, open science, and AI’s role in democratizing research.
- The Role of AI in Shaping Researcher Identity
These chapters might examine how AI is reshaping what it means to be a researcher, including shifts in academic labour, expertise, and authorship. They could explore whether AI enhances or diminishes researchers’ intellectual contributions.
Timelines:
May 2025: Call for abstracts
30 June 2025: Abstract submission due
31 July 2025: Abstract accepted notification
1 December 2025: Full chapter – 1st draft submission
15 February 2026: Peer-review due
30 March 2026: Full chapter – chapter revisions due
15 April 2026: Editorial review due
30 April 2026: Full chapter – final chapter revisions due
15 May 2026: Full chapter – confirmation of inclusion
30 May 2026: Final version of chapter due
1 August 2026: Publication
We look forward to receiving your contributions and collaborating on this timely and important volume.
As this is an open text provided to the world for free under a CC BY-NC-ND license, there will be no remuneration for authors.
For further inquiries, please contact:
Dr Douglas Eacersall
Senior Lecturer (Researcher Development and Applied AI)
Douglas.Eacersall@unisq.edu.au
University of Southern Queensland
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