Summer School: Text Mining for Innovation Management (II Edition)

Location: Pisa, Italy

Overview

This Summer School is designed for PhD students, researchers, and scholars in the field of Innovation Management (and close disciplines like Design and Strategy) who want to explore how Natural Language Processing (NLP) can transform the way we analyze, interpret, and leverage data from patents, scientific publications, and business intelligence.

Over the course of three days, participants will dive into fundamental NLP techniques, explore state-of-the-art applications, and engage in hands-on project work to apply their knowledge in real-world scenarios.

What to Expect?

A part from lovely weather  and great food:

🌍 Day 1 – Foundations of NLP

An overview of NLP, tracing its evolution and key concepts. You’ll get familiar with the core text preprocessing techniques, including tokenization, stopword removal, stemming, and lemmatization, and explore how text can be represented using Bag-of-Words (BoW), TF-IDF, and word embeddings.

The day concludes with an exclusive “Meet the Editors” session, where you’ll gain insider insights from editors of top-tier innovation management.

🔍 Day 2 – NLP Techniques for Innovation Research

The second day is all about practical applications. Participants will get hands-on experience with Sentiment Analysis, Topic Modeling, Named Entity Recognition (NER), and Text Annotation—all key tools for analyzing large-scale textual data.

Parallel to the lectures, participants will engage in project work, applying these techniques to real-world innovation data, from scientific papers to patents and technological reports.

🚀 Day 3 – Bringing It All Together

The final day is dedicated to applying and communicating results. Participants will work in teams to fine-tune their analyses and present their findings. Additionally, we’ll explore the role of trust in Large Language Models (LLMs) and hear from experts about real-world NLP applications in innovation management.

Learning Outcomes

Rise awareness on text mining  techniques

• Understand and be able to use the text mining terminology
• Understand the main sources of knowledge to update and specialize text mining skills

Give a starting toolbox for working with text mining

• Demonstrate proficiency in a range of text mining and Natural Language Processing techniques
• Navigate and implement different components of NLP such as Bag-of-Words (BoW) models, word embeddings, and text analysis at both document and word levels

Start or Improve participants text mining research project

• Apply the learned text mining techniques to participants’ research project
• Matching the text mining method and the research aim

Understand who is doing what in our community

• Understand the historical evolution and significance of text mining and NLP in the context of innovation management

Audience and registration

The summer school on Text Mining for Innovation Management is open to PhD Students, researchers and scholars in the innovation management community interested in the topic. 

All the interested people can apply for participation filling the following form. 

Deadline for application: 31/04/2025.

Please note that there are no mandatory prerequisites. The only requirement is a keen interest in TM and its applications in innovation management. If you are enthusiastic about learning and applying TM techniques in your research, this summer school will be a valuable and rewarding experience.

Venue

Pricing

• 100 € to cover coffee breaks and a dinner
• Applications received through Google Form will be evaluated in order to reach a maximum number of 25 participants. The priority will be given to those who register first.

• Confirmed participants who are unable to attend will be required to pay a €50 tuition fee to cover organizational expenses.

project work and certificate of attendance

Part of the summer school will be dedicated to a project work. Participants will have time to prepare a work in teams, which they will present at our committee at the end of the school. We will consider this work as an exam, therefore, we will recognize the hours of the summer school (20) for doctoral students with a certificate, counting as 2 EC.

Scientific Committee

• Filippo Chiarello, PhD, Ass. Professor of Natural Language Processing and Design (University of Pisa)
• Vito Giordano, PhD, Researcher in Natural Language Processing and Innovation (University of Pisa)
• Irene Spada, PhD, Researcher in Natural Language Processing and Innovation (University of Pisa)
• Ivan Zupic, PhD, Lecturer in Lecturer in Entrepreneurship (University of London)

Faculty

• Chiara Lelli, PhD Student in Innovation Management (University of Pisa, DESTEC)
• Marco Losano, PhD Student in NLP for Product Design (University of Pisa, Smart industry)
• Giacomo Marzi, Associate Professor, IMT Lucca

Contacts

Ass. Prof. Filippo Chiarello, PhD:

Email: filippo.chiarello@unipi.it 

Linkedin: https://www.linkedin.com/in/filippo-chiarello-2b382770/ 

Agenda

Day 1 

Day 2

Day 3

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