Professor Filippo Chiarello
Filippo Chiarello is an Associate Professor of Design and Innovation at the School of Engineering, University of Pisa. His research explores how Generative AI, Natural Language Processing and data-driven methods can be used to study technological innovation, engineering design and organisational phenomena. His work connects artificial intelligence, innovation management and sustainability, with a particular focus on extracting knowledge from textual data, analysing emerging technologies and understanding the impact of AI on skills, education and new product development.
At the University of Pisa, he also contributes to faculty development and holds institutional responsibilities within the Teaching and Learning Centre. He coordinates the DETAILLs research group, a living lab dedicated to the use of Artificial Intelligence and Generative AI for sustainable product design, responsible innovation, and collaboration among universities, students, and companies. His recent publications address topics such as large language models in engineering design, AI for innovation management, text mining for sustainability and the role of Generative AI in education and human skills.
Select publications
- Giordano, V., Spada, I., Chiarello, F., & Fantoni, G. (2024). The impact of ChatGPT on human skills: A quantitative study on Twitter data. Technological Forecasting and Social Change, 203, Article 123389. https://doi.org/10.1016/j.techfore.2024.123389
- Chiarello, F., Giordano, V., Spada, I., Barandoni, S., & Fantoni, G. (2024). Future applications of generative large language models: A data-driven case study on ChatGPT. Technovation, 133, Article 103002. https://doi.org/10.1016/j.technovation.2024.103002
- Giordano, V., Puccetti, G., Chiarello, F., Pavanello, T., & Fantoni, G. (2023). Unveiling the inventive process from patents by extracting problems, solutions and advantages with natural language processing. Expert Systems with Applications, 229, Article 120499. https://doi.org/10.1016/j.eswa.2023.120499
- Puccetti, G., Giordano, V., Spada, I., Chiarello, F., & Fantoni, G. (2023). Technology identification from patent texts: A novel named entity recognition method. Technological Forecasting and Social Change, 186, Article 122160. https://doi.org/10.1016/j.techfore.2022.122160
- Spada, I., Chiarello, F., Barandoni, S., Ruggi, G., Martini, A., & Fantoni, G. (2022). Are universities ready to deliver digital skills and competencies? A text mining-based case study of marketing courses in Italy. Technological Forecasting and Social Change, 182, Article 121869. https://doi.org/10.1016/j.techfore.2022.121869
- Chiarello, F., Fantoni, G., Hogarth, T., Giordano, V., Baltina, L., & Spada, I. (2021). Towards ESCO 4.0: Is the European classification of skills in line with Industry 4.0? A text mining approach. Technological Forecasting and Social Change, 173, Article 121177. https://doi.org/10.1016/j.techfore.2021.121177
Further links
Research Lab: https://www.detaills.eu/
