Giovanni Colavizza

Associate Professor of Computer Science, University of Bologna

I am an Associate Professor of Computer Science at the University of Bologna.

I am also the CTO and a co-founder at Odoma.

My primary focus is on Machine Learning applications in the Arts and Humanities. I am also interested in using data to study cultural and social phenomena, including the human past, the arts market, open science, and Wikipedia.

Recent news

Grants:
- HAICu: digital Humanities - Artificial Intelligence - Cultural heritage, Research along Routes by Consortia (NWA-ORC), Dutch Research Agenda. Read the project abstract.
Datasets:
- A Comprehensive Dataset of Classified Citations with Identifiers from English Wikipedia (2023) with Natallia Kokash. Here are the dataset and codebase, feedback welcome.
Articles:
- Datasheets for Digital Cultural Heritage Datasets (with Henk Alkemade, Steven Claeyssens, Nuno Freire, Jörg Lehmann, Clemens Neudecker, Giulia Osti, Daniel van Strien).
- Polarization and reliability of news sources in Wikipedia (with Puyu Yang).

Last update: February 2024.

Research

Data-driven humanities research

Using quantitative methods in humanities research.

Information extraction from historical collections

Developing machine learning applications for the automatic extraction of information from historical collections.

Mapping Arts and Humanities research

This project focuses on understanding how knowledge develops and is exchanged in the Arts and Humanities.

Science beyond academia, Wikipedia and more

Wikipedia is the largest encyclopedia to date. What sources is it based on? How is it used by the public? How can it be improved?

Studying the impact of data noise in historical collections

Assessing how noise in digiized historical collections and information extracted from them can impact downstream tasks and applications.

Selected recent publications

For a full list of publications, see my Google Scholar profile.

Unsilencing colonial archives via automated entity recognition

Mrinalini Luthra, Konstantin Todorov, Charles Jeurgens, Giovanni Colavizza

Preprint PDF Project

A map of Digital Humanities research across bibliographic data sources

Gianmarco Spinaci, Giovanni Colavizza, Silvio Peroni

Preprint PDF Project

Archives and AI: An Overview of Current Debates and Future Perspectives

Giovanni Colavizza, Tobias Blanke, Charles Jeurgens, Julia Noordegraaf

Preprint PDF Project

Crypto art: A decentralized view

Massimo Franceschet, Giovanni Colavizza, T’ai Smith, Blake Finucane, Martin Lukas Ostachowski, Sergio Scalet, Jonathan Perkins, James Morgan, Sebastian Hernandez

Preprint PDF

On the Value of Wikipedia as a Gateway to the Web

Tiziano Piccardi, Miriam Redi, Giovanni Colavizza, Robert West

Preprint PDF Project

A Digital Reconstruction of a Large Plague Outbreak During 1630-1631

Gianrocco Lazzari, Giovanni Colavizza, Fabio Bortoluzzi, Davide Drago, Andrea Erboso, Francesca Zugno, Frédéric Kaplan, Marcel Salathé

Preprint PDF Project

The Citation Advantage of Linking Publications to Research Data

Giovanni Colavizza, Iain Hrynaszkiewicz, Isla Staden, Kirstie Whitaker, Barbara McGillivray

Preprint PDF Project

Assessing the Impact of OCR Quality on Downstream NLP Tasks

Daniel van Strien, Kaspar Beelen, Mariona Coll Ardanuy, Kasra Hosseini, Barbara McGillivray, Giovanni Colavizza

Preprint PDF Project

Teaching

Academic year 2023 2024

My teaching during the academic year 2023 2024.

Last updated on Jan 28, 2024 teaching

Student project ideas (arts, humanities and social sciences)

A list of project ideas for students in the arts, humanities and social sciences.

Last updated on Jan 28, 2024 teaching

Student project ideas (computer science)

A list of project ideas for students in the sciences, including computer science, data science, machine learning, etc.

Last updated on Jan 28, 2024 teaching

Commercial

I am the CTO and co-founder at Odoma, an agency supporting the full lifecycle of Data + AI + UX projects in the cultural and creative sectors.

We are specialized in data collection, quality assessment and documentation, in the design and development of customized AI solutions and digital interfaces.

We also provide expert consulting and training on topics related to data quality and documentation, AI workflows in cultural organisations and creative industries, digitisation of cultural heritage collections. If interested, please get in touch at contact@odoma.ch.