Research Fellowship Program
AI for Academic Writing and Publishing
Program Overview
This month-long intensive research writing and publication research fellowship is designed for scholars across disciplines who seek to enhance their scholarly writing and publishing skills through the strategic use of generative artificial intelligence tools. The fellowship emphasizes ethical engagement with AI, practical writing exercises, and active participation in the academic publishing process.
Fellows will work on developing a full-length journal article or book chapter using guided modules. The training culminates in tangible outcomes, including editorial roles, publication opportunities, and integration into the global academic community of scholars.
Program Objectives
The goal of this research fellowship program is to support researchers, faculty, and graduate students in using AI tools ethically and effectively for academic writing and publishing. To achieve this goal, the program is guided by key objectives that shape its structure, content, and intended impact.
Program Outcomes
- Have at least one publishable academic manuscript draft by the end of the program.
- Participate in a collaborative research project contributing to a book chapter or journal article.
- Be considered for editorial board or reviewer positions.
- Join the scholarly community with recognition and program discounts.
- Be equipped with AI competencies to responsibly, ethically, and effectively support academic writing and publishing.
Fellowship Structure and Curriculum
Each week focuses on a specific topic essential to completing an original research manuscript using AI tools. Fellows are expected to have a clearly defined research topic and supporting data. The weekly structure is as follows:
- Week 1: Foundations of AI-Empowered Scholarly Writing — Tools: ChatGPT, Grammarly, Quillbot, Zotero
- Week 2: Literature Review & Methodology Using AI Tools — Tools: Scite, ResearchRabbit, Connected Papers, NVivo
- Week 3: Drafting Results, Discussion, and References with AI — Tools: SPSS, Atlas.ti, AI citation tools
- Week 4: Publishing Pathways and Peer Engagement — Tools: Journal Finder, Peer Review Rubrics
Program Leadership and Faculty
The fellowship is led by experienced educators and researchers focused on AI in scholarly communication. Fellows will engage with renowned academic leaders throughout the program.
Program Directors
Dr. Karla Bailey, Managing Editor, American Journal of STEM Education
Dr. Fatima Babih, Research and Curriculum Specialist, STAR Scholars Network
Application Process and Contact
Applicants must meet eligibility criteria and submit a formal application. Selection is based on topic clarity, AI readiness, commitment, and diversity.
Contact: research@starscholars.org
We welcome inquiries from prospective applicants, institutional partners, and collaborators.
Our Network
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