Training and Research
PhD Programme Courses/classes
This page lists the training activities for the PhD programme for the academic year 2025/2026. Additional activities will be added during the year. Please check back regularly for updates!
Mathematics
Credits: 7.5
Language: English
Teacher: Corrado De Vecchi, Andrea Mazzon
Probability
Credits: 7.5
Language: English
Teacher: Marco Minozzo
Introduction to Economics
Credits: 5
Language: English
Teacher: Roberto Ricciuti
Mathematical Statistics
Credits: 5
Language: English
Teacher: Catia Scricciolo
Continuous Time Econometrics
Credits: 5
Language: English
Teacher: Cecilia Mancini
Macroeconomics I
Credits: 7.5
Language: INGLESE
Teacher: Tamara Fioroni, Alessia Campolmi
Microeconomics I
Credits: 10.5
Language: English
Teacher: Simona Fiore, Claudio Zoli, Martina Menon
Game Theory
Credits: 5
Language: English
Teacher: Francesco De Sinopoli
Financial Time Series
Credits: 5
Language: English
Teacher: Giuseppe Buccheri, Lorenzo Frattarolo
Stochastic Optimization and Control
Credits: 5
Language: English
Teacher: Athena Picarelli
Advice to Young Researchers
Credits: 4
Language: English
Teacher: Marco Piovesan
Job Market Orientation
Credits: 2
Language: English
Teacher: Simone Quercia
Behavioral and Experimental Economics
Credits: 4
Language: English
Teacher: Simone Quercia, Maria Vittoria Levati, Marco Piovesan
Inequality
Credits: 4
Language: English
Teacher: Francesco Andreoli, Claudio Zoli, Lidia Ceriani
Development Economics
Credits: 4
Language: Italian
Teacher: Federico Perali
Health Economics
Credits: 4
Language: English
Teacher: Paolo Pertile, Paola Bertoli
Stochastic Processes in Finance
Credits: 5
Language: English
Teacher: Sara Svaluto-Ferro
Political Economy
Credits: 4
Language: English
Teacher: Emanuele Bracco, Roberto Ricciuti
Financial Mathematics
Credits: 5
Language: Inglese
Teacher: Alessandro Gnoatto
Advice to Young Researchers (2025/2026)
Teacher
Referent
Credits
4
Language
English
Class attendance
Free Choice
Location
VERONA
Learning objectives
Research, the cornerstone of our discipline, is undeniably challenging. It is a path filled with trial and error, and yes, often more error than success. The best of researchers have wrestled with the same problems you will face. We often enter the field armed with theories and models, but the real world of research is uncharted and untamed, without a one-size-fits-all approach or magical formula. Misinformation and myths about what scholars do and how they succeed abound, creating false narratives about the profession. This course aims to dispel these myths and provide you with a realistic understanding of the academic landscape. By the end of this course, you will have engaged in open discussions about the realities of our profession, reflected deeply on your career trajectory, and leave with a clearer vision of how to mold your PhD experience into a stepping stone for a successful career. Whether you aspire to academia, industry, or policy, this course is your compass in the vast economic wilderness.
Prerequisites and basic notions
None
Program
Module 1: Introduction to the purpose and learning outcomes of the course, discussion of market expectations for PhD graduates, strategies for choosing and refining a research topic, and developing a research agenda.
Module 2: Examination of the structure of scientific papers, mastery of the rhetoric of academic writing, understanding the journal review process, and preparation of a manuscript for submission.
Module 3: Peer review and improvement of draft introductions, analysis of best practices in scientific writing for clarity and precision, and guidance on designing tables and graphics.
Module 4: Strategies for effectively presenting research findings, delivering engaging talks and handling Q&A sessions, and understanding the importance of networking at seminars, conferences, and workshops.
Module 5: Techniques for developing a standout thesis and research portfolio, advice on securing funding through grant writing and aligning with funding bodies, and considerations for balancing teaching and academic service with research duties.
Bibliography
Didactic methods
Frontal teaching.
Learning assessment procedures
NA
Assessment
NA
Criteria for the composition of the final grade
NA
Scheduled Lessons
| When | Classroom | Teacher | topics |
|---|---|---|---|
|
Friday 27 February 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Module 1: Introduction to the purpose and learning outcomes of the course, discussion of market expectations for PhD graduates, strategies for choosing and refining a research topic, and developing a research agenda. |
|
Friday 27 March 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Module 2: Examination of the structure of scientific papers, mastery of the rhetoric of academic writing, understanding the journal review process, and preparation of a manuscript for submission. |
|
Friday 24 April 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Module 3: Peer review and improvement of draft introductions, analysis of best practices in scientific writing for clarity and precision, and guidance on designing tables and graphics. |
|
Friday 29 May 2026 14:00 - 17:00 Duration: 3:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Module 4: Strategies for effectively presenting research findings, delivering engaging talks and handling Q&A sessions, and understanding the importance of networking at seminars, conferences, and workshops. |
|
Friday 26 June 2026 14:00 - 18:00 Duration: 4:00 AM |
Polo Santa Marta - Sala Andrea Vaona (DSE) [1.59 - 1] | Marco Piovesan | Module 5: Techniques for developing a standout thesis and research portfolio, advice on securing funding through grant writing and aligning with funding bodies, and considerations for balancing teaching and academic service with research duties. |
