Chapter 3: Introduction of a manuscript with generative AI

Alessandro N. Vargas (ORCID )

Pages: 31-50

First published: 20 March 2025

DOI: https://doi.org/10.63408/979-8-9928364-0-0_3

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Abstract

This chapter examines the funnel strategy as a structured approach to scientific writing and its integration with AI tools like ChatGPT. The funnel strategy progresses from broad context to specific research questions, guiding the organization of academic texts. By utilizing ChatGPT, writers can enhance their skills through tools such as real-time feedback and template generation. Practical techniques and examples are provided to illustrate how the funnel strategy, combined with AI, improves clarity and efficiency. This chapter is particularly useful for early-career researchers.

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Bibliographic information

Book Chapter Title Generative AI in Scientific Writing: Opportunities and Ethical Challenges	Series Title Rockefeller Series in Science and Technology	Author Alessandro N. Vargas
Copyright Information The Author(s) under Creative Commons Attribution 4.0 International (CC BY 4.0).	Series ISSN (online) 3067-0667	ISBN (eBook) 979-8-9928364-0-0
DOI https://doi.org/10.63408/979-8-9928364-0-0_3	Publisher Rockefeller Publishing Co

How to Cite

Alessandro N. Vargas (2025). Chapter 3: Introduction of a manuscript with generative AI. In: Alessandro N. Vargas (Eds.), Generative AI in Scientific Writing: Opportunities and Ethical Challenges (pp. 31-50), vol. 1, Rockefeller Series in Science and Technology, Rockefeller Publishing Co, New York, NY, USA. https://doi.org/10.63408/979-8-9928364-0-0_3

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About the Author(s)

• Alessandro N. Vargas is a full Professor at UTFPR, Brazil. Since 2023 he has been a research scientist in the Department of Chemical and Biomolecular Engineering, University of California, Berkeley, CA, USA. He got his Ph.D. in Electrical Engineering at the University of Campinas (UNICAMP), Brazil. He spent a year as a Postdoctoral Researcher at Universitat Politècnica de Catalunya-BarcelonaTech, Spain, from 2014 to 2015. He has served as a Visiting Professor at Arizona State University (ASU), USA, and a Visiting Professor at the Politecnico di Milano (Polimi), Italy. He is currently serving as Associate Editor of IEEE/ASME Transactions on Mechatronics and the International Journal of Systems Science (Taylor and Francis). He is a former Editor of the Journal of The Franklin Institute (Elsevier) and IET Signal Processing (Wiley). His main research includes Control Systems, Electronics, and Mechatronics. Contact: avargas@utfpr.edu.br

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