Cross-disciplinary competences are essential in modern academic studies, promoting adaptability and collaboration across diverse fields. These skills include critical thinking, communication, teamwork, and problem-solving, enabling knowledge integration from different fields and disciplines and addressing complex problems. By developing soft skills, graduates become more versatile and better prepared for dynamic professional environments. This initiative aims at embedding some of these competences into a series of five seminars, which focus on the application of new technologies, research management, bibliometrics, as well as on the future careers of students.
The seminars are held face-to-face, a MS Teams meeting link can be provided upon request.
January – June 2026
Speaker: Calvanese Diego, Montali Marco, Donadello Ivan, Simon Robert
Where: Campus Bozen-Bolzano City Centre, Room C2.06
When: 19/01/2026, from 9 a.m. to 12 a.m.
Language: English
Target Group: PhD students
Content: The aim of this seminar is to provide students with a general overview of Artificial Intelligence, enabling them to address their research questions using the most appropriate Artificial Intelligence tools. The seminar will be divided into three sections.
In the first section we will provide a broad introduction to the topic, defining what Artificial Intelligence is and what is not, presenting the main types of Artificial Intelligence algorithms, and setting the stage for the two following parts.
In the section dedicated to data-driven Artificial Intelligence, we discuss the field of Machine Learning, namely algorithms that can improve their performance through data. These methods allow users to perform predictive analysis, clustering, generate new data from an input user-provided prompts, and produce counterfactual data. The section will provide a roadmap to navigate the wide range of available Machine Learning algorithms.
In the section dedicated to Artificial Intelligence ethics, we first discuss the general relationship between technology and ethics. We then seek to identify the distinctive ethical characteristics of “artificial intelligences” as outlined technically in the first part of the lecture. Finally, we introduce the concept of “trustworthiness” which plays a particularly important role in the field of AI ethics.
Speaker: Lisco Sonia Maria
Where: Campus Bozen-Bolzano City Centre, Room D1.01
When: 23/02/2026, from 9 a.m. to 12 a.m.
Language: English
Target Group: PhD students
Content: This course introduces bibliometrics as a set of quantitative methods for analysing scholarly communication and research performance, addressing both bibliometric and non-bibliometric research fields.
It covers journal evaluation, focusing on major databases and indicators, their appropriate use and limitations, and the identification of low-quality or predatory journals. The course then examines research evaluation, including citation-based indicators, disciplinary differences, and evaluation frameworks, with an emphasis on critical interpretation.
The course concludes with publication opportunities for unibz students, presenting library tools and services that support PhD students in publishing, dissemination, visibility, and research impact throughout the research lifecycle.
Speaker: Simon Robert
Where: Campus Bozen-Bolzano City Centre, Room D1.03
When: 04/03/2026, from 4 p.m. to 5 p.m.
Language: English
Target Group: PhD students
Content: The aim of this seminar is to provide students with a general overview of Artificial Intelligence, enabling them to address their research questions using the most appropriate Artificial Intelligence tools. The seminar is divided into three sections.
The third section is dedicated to Artificial Intelligence ethics, we first discuss the general relationship between technology and ethics. We then seek to identify the distinctive ethical characteristics of “artificial intelligences” as outlined technically in the first part of the lecture. Finally, we introduce the concept of “trustworthiness” which plays a particularly important role in the field of AI ethics. In order to illustrate the various facets of trustworthiness, we will discuss concrete examples.
Speaker: Iris Tappeiner – Career Service
Where: Campus Bozen-Bolzano City Centre, Room D1.01
When: 15/04/2026, from 9 a.m. to 11 a.m.
Language: English
Target Group: PhD students
Content:
Speaker: Mara Longhini and Sonda Giovanna - Research and Innovation Service
Where: Campus Bozen-Bolzano City Centre, Room D1.01
When: 21/04/2026, from 9 a.m. to 11 a.m.
Language: English
Target Group: PhD students
Content:
Speaker: Claudia Steger, Kathrin Staffler – Quality and Strategy Development
Where: Campus Bozen-Bolzano City Centre, Room D1.01
When: 8/06/2026, from 9 a.m. to 11 a.m.
Language: English
Target Group: PhD students
Content:
Further information: phdunibz@unibz.it