Webinar 3: Generative AI in Academic Research – From Idea to Publication
The rapid development of Generative AI (GenAI) and large language models (LLMs) is reshaping how research is designed, conducted, and communicated. Yet many researchers still treat AI tools as mysterious “black boxes” or only partially understand concepts like RAG or AI agents. The aim of this training is to demystify these technologies and show how they can be responsibly and effectively integrated into every stage of academic work.
By the end of the session, participants will not only understand how to interact with AI as an assistant, but will also gain a clear step-by-step framework for applying AI in preparing a scientific article in management.
Agenda
Introduction to AI in Research
- What is GenAI, LLM, RAG, and AI agent?
- Different modes of interaction: tool, assistant, partner.
- How far can we go with GenAI? Ethical considerations and best practices.
The Complete Procedure of Research Article Preparation in Management
What to study?
Using GenAI in ideation and scoping analysis.
Supporting problem formulation and research gap identification.
How to find the literature?
Literature identification with databases and GenAI tools.
Selection criteria and bias awareness.
How to work the literature?
Data extraction with GenAI assistance.
Thematic analysis and synthesis.
How to run empirical analysis?
Using GenAI in qualitative analysis (coding, interpretation).
GenAI-assisted quantitative data analysis and visualization.
How to write?
GenAI for note-taking, drafting, and auto-reviewing.
Balancing automation and researcher’s critical role.
How to proofread?
GenAI in language checking, flow, and quality improvement.
Maintaining originality and academic standards.
Q&A and Open Discussion
Addressing participants’ challenges.
Sharing best practices.
Conclusion & Key Benefits
By the end of the training, participants will:
- Understand the fundamental concepts and ethical implications of GenAI in research.
- Gain a structured, step-by-step framework for using GenAI throughout the academic article preparation process.
- Learn practical methods for integrating GenAI responsibly into ideation, literature review, analysis, writing, and proofreading.
- Be better prepared to treat GenAI not just as a tool, but as a flexible assistant in research.
Outcome: Participants leave with actionable knowledge and a practical procedure that enhances both efficiency and quality in academic publishing.
Presenter
Dr Przemysław Tomczyk
Assistant Professor
Department of Marketing at Kozminski University in Warsaw, Poland
Przemysław Tomczyk, PhD, earned his doctorate in economics (management sciences) from the Warsaw School of Economics in 2015. He currently serves as an assistant professor in the Department of Marketing at Kozminski University in Warsaw, Poland. He has delivered guest lectures at ESCP Europe in Paris, the Warsaw University of Technology, and the Warsaw School of Economics.
Dr. Tomczyk’s research focuses on the role of artificial intelligence in academic writing and the automation of research processes. He has also investigated customer value management and customer portfolio analysis, publishing extensively in ranked journals. He is a grantee of the National Science Centre, Poland, and chairs the Management RIG group within the EuroMed Academy of Business.
Beyond his academic work, Dr. Tomczyk actively engages in science communication. He runs the YouTube channel “Dr Przemek Tomczyk AI” (https://www.youtube.com/@drprzemek), dedicated to demonstrating how artificial intelligence can enhance the efficiency and effectiveness of academic writing. His mission is to empower researchers to write faster and more effectively through the adoption of modern technologies.
This seminar is part of the Research Skills Development Programme (RSDP) series. For more information visit https://www.unic.ac.cy/research-skills-development-programme-rsdp-webinar-series-2025-2026/
