- Home
- PhD MISSION
- PhD course organization Apri sottomenù
- Board
- Admission Apri sottomenù
-
Teaching program
Apri sottomenù
- Course on Research ethics and bioethics
- Seminars on biology of human ageing
- Seminars on infection and immunity
- Seminars on cancer immunobiology and immunotherapy
- Seminars on alterations of ribosome biogenesis and ribosomes in human diseases
- Seminars on glycopathologies and ncRNA associated diseases
- Seminars on novel therapeutic targets in oncology
- Seminars on novel therapeutic strategies in oncology
- Seminars on infectious and inflammatory osteoarticular pathology
- Seminars on pathological characterization and target therapy of solid tumors
- Seminars on stem cell transplantation in hematology and CAR-T cell therapy
- Seminars on hematological disorders: from pathology to therapy
- Seminars on modern oncology radiobiological therapies
- PhD FACILITIES
- PhD STUDENTS Apri sottomenù
- ALUMNI
- Advisory Board
Homepage
UNIBO Student Elections 2025 - New Deadline for candidates April 8th
On 14 and 15 May, you can express your opinion. Vote for your representatives in the University Governing Bodies and the National Council of University Students. Find out how, when, and where to vote.
Go to pageAdmission
-
Admission A.Y. 2025/2026
-
Vedi dettagli
Application Process (opening in June!)
The doctoral candidate selection opens once a year Application period for AY 2025-2026: June 2025 Interviews will be held on July 24, 2025 Go to page
PHD MISSION AND SEMINARS
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.