Research seminars

Ph.D. students are required to attend all DiSA and "My Cup Of Tea" seminars and are encouraged to attend further external seminars aligning with their research interests throughout their Ph.D. journey

DiSA RESEARCH SEMINARS

The Department of Management (DiSA) offers research seminars with external and departmental scholars that are held almost every week, allowing Ph.D. students to meet and learn from top scholars from different fields.

Please visit the DiSA's events web page for more information.

 

"MY CUP OF TEA" SEMINARS

The "My Cup of Tea" seminars started in January 2018 with the explicit aim of connecting DiSA faculty members with Ph.D. students of all years. Each month, a faculty member shares and discusses a working paper, a research project, or their whole research journey with the Ph.D. students to provide insight on developing a strong publication pipeline, engaging with top scholars, and growing professionally in today's academia.

The schedule for the 2024 edition of the "My Cup of Tea" seminars is as follows (Via Capo di Lucca 34, Seminar Room 1, 12:30-1:30 p.m.):

  • March 6, 2024: Claudio Giachetti, "Competition in uncertain environments"
  • April 5, 2024: Barbara Petracci, "Exploring sustainable finance"
  • May 3, 2024: Paolo Barbieri
  • June 21, 2024: Antonio Giuliani
  • October 3, 2024: Stefania Farace
  • October 24, 2024: Maria-Gabriella Baldarelli, "Cultural sustainability and territorial development to limit heritage educational poverty"
  • November 21, 2024: Azzurra Meoli, "A careers perspective on entrepreneurship"
  • December 12, 2024: Daniela Bolzani, "A journey of exploration: From (super)diverse entrepreneurs to inclusive ecosystems"

 

Further external seminars: 

"ARTIFICIAL INTELLIGENCE IN MANAGEMENT" RESEARCH SEMINARS

The "Artificial Intelligence in Management" research seminars are offered by the Alma Mater Research Institute for Human-Centered Artificial Intelligence. These research seminars delve into the role of artificial intelligence in management research and allow Ph.D. students to meet and learn from top international scholars studying artificial intelligence from different conceptual and empirical perspectives.

Please visit this webpage for more information.