Homepage

Events

04 NOV
-
18 DEC 2025

Cycle 41 - Mandatory Courses

Published

Probability and stochastic processes

Sabrina Mulinacci, Pietro Rigo

03 DEC 2025
-
12 MAR 2026

Cycle 41 - Mandatory Courses

Published

Statistical inference

Maria Pia Victoria Feser, Cinzia Viroli

01 JAN
-
30 MAY 2026

Cycle 40 - Elective Courses

Published

Numerical methods in economics

Renata Bottazzi

01 JAN
-
30 MAY 2026

Cycle 40 - Elective Courses

Published

Advanced bayesian inference

Carlo Trivisano

01 JAN
-
30 MAY 2026

Cycle 41 - Elective Courses

Published

Small area estimation

Silvia Pacei

01 JAN
-
30 MAY 2026

Cycle 40 - Elective Courses

Published

Small area estimation

Silvia Pacei

01 JAN
-
30 MAY 2026

Cycle 41 - Elective Courses

Published

Advanced bayesian inference

Carlo Trivisano

01 JAN
-
30 MAY 2026

Cycle 41 - Elective Courses

Published

Numerical methods in economics

Renata Bottazzi

07 JAN
-
31 MAY 2026

Cycle 41 - Elective Courses

Published

Deterministic and stochastic optimization in insurance

Luca Vincenzo Ballestra

19 JAN
-
22 JAN 2026

Cycle 41 - Elective Courses

Published

Learning from Data via Mixture Models

Salvatore Ingrassia University of Catania (Italy)

09 FEB
-
20 FEB 2026

Cycle 41 - Mandatory Courses

Published

Advanced statistical models - Generalized linear models

Saverio Ranciati

07 JAN
-
31 MAY 2027

Cycle 41 - Elective Courses

Published

Advanced Topics in Social Statistics and Demography

Francesca Tosi, Chiara Ludovica Comolli, Livia Elisa Ortensi

07 JAN
-
31 MAY 2027

Cycle 41 - Elective Courses

Published

Casual inference and policy evaluation

Sara Capacci

01 MAY
-
31 MAY 2027

Cycle 41 - Elective Courses

Published

Modern design of experiments

Maroussa Zagoraiou, Marco Novelli

Take part in the GRINS challenge: you could win a bicycle or an insulated water bottle

Download the app, take part in the challenges and score points. You can win prizes and help us improve mobility services. Deadline. 14 December.

Go to page

Your Research in 3 Minutes

Applications are open for the Coimbra Group Three-Minute-Thesis Competition. If you're a final-year PhD student, you can present your research in English in just 3 minutes. Deadline: 17 December.

Go to page

Generative Artificial Intelligence: University Policy and Practical Use Cases

Guidelines, practical examples, and operational insights to ethically and responsibly use GenAI in your academic journey.

The University of Bologna has introduced a policy to promote the ethical and responsible use of Generative Artificial Intelligence (GenAI) in academic activities, ensuring its integration aligns with academic standards of quality, ethics, and integrity.

Why is the policy important?

· Practical Guidelines The policy provides actionable guidelines for responsibly using GenAI in academic activities, ensuring awareness and accountability.
· Real-World Applications Real-world examples illustrate how GenAI can be applied in various contexts, helping you understand its potential and limitations.
· Support for Learning and Research Familiarizing yourself with the policy ensures you can leverage GenAI's opportunities while adhering to ethical standards.

For further details, visit the dedicated page on the University of Bologna website: https://www.unibo.it/[…]/artificial-intelligence

Want to learn more?

Join our series of events, "For an Ethical and Responsible Use of Generative AI: From Knowledge to Applications," (in Italian only) available both in person and online. View the schedule and register now!

Go to page
Torna su