Doctoral Colloquium on Risk Analytics, Ca' Foscari, U. Venice
A joint initiative of Collegio Internazionale Ca’ Foscari CICF (team leader), IUSS Pavia, IMT Lucca, SISSA Trieste, Scuola di Studi Superiori Carlo Urbani in Camerino, Scuola di Studi Superiori Giacomo Leopardi in Macerata, Scuola Superiore F. Rossi in Torino, Scuola Superiore Universitario Di Toppo Wassermann in Udine
Aims and scope
The Colloquium is an honour course for Doctoral students interested in analytical (both theoretical and applied) methods for the measurement, management and mitigation of risks, organized in four sessions. The span of risks considered ranges from standard economic, financial or insurance risks, to emerging ones, such as environmental, climate and cyber risks. The approach is in-depth and multidisciplinary, with lectures, assignments and discussion of the results. The course is organized into four sessions.
Target
Students are PhD candidates from Italian or Foreign Universities, who remain affiliated with their Doctoral School. Students may apply for a session at a time, but need to attend the whole session. They may get credits for the courses taken within the Colloquium.
The maximum number of students per session is 25. A group of up to 20 students will be offered full refund for travel and lodging expenses. 5 additional students, including further Doctoral Students, Postdocs, Junior Faculty, or PhDs working in the industry, can be admitted at their own expenses.
Where
San Servolo Island, Venice
When and on what (see also below)
Four two-weeks sessions on:
1) February, 23 - March, 8, 2025, Modern risk measurement;
2) July, 26 - August, 9, 2025, New challenges on long-run risks;
3) September , 14 - 27, 2025, AI for Risk;
4) January, 18 - 31, 2026, Networks and risk propagation.
How
Each session offers two courses. Each course is delivered over 20 hours over one week (10 days if more), combining frontal teaching, office hours/discussions, assignments and presentation of research by the students.
Applications
Students can apply for the first session starting from December 20th 2024, through the following site
Each PhD student will be asked to provide a recommendation letter from her/his PhD coordinator.
Acceptance of qualified applicants will be done on a first-in basis.
Applications for the second, third and fourth session will open one week after the closing of the previous session.
Sessions and Lecturers
Session 1: Modern risk measurement
Week 1: Alfred Muller, U. Siegen, Measuring and Comparing risks
Week 2: Hansj¨org Albrecher, University of Lausanne, Emerging Risks for Actuaries: NatCat Insurance and Climate Change
Session 2: New challenges on long-run risks
Week 1: Max Croce, U. Bocconi, Macro FinTech
Week 2: Fabio Trojani, Swiss Finance Institute and U. Torino, Model free pricing and estimation of financial risks
Session 3: AI for Risk
Week 1: Stefano Favaro, U. Torino and CCA, Predictive uncertainty in Machine Learning with conformal inference
Week 2: Christa Cuchiero, U. Vienna, Concepts of Deep Learning and Applications to Finance and Risk Management
Session 4: Networks and risk propagation
Week 1: Remco Hofstad, Eindhoven U. of Technology, Title TBA
Week 2: Alireza Tazbah-Salehi, Northwestern University, Title TBA