Doctoral Colloquium on Risk Analytics

https://landing.cafoscarichallengeschool.it/docra/

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 honor 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 < https://servizimetropolitani.ve.it/en/san-servolo-island/where-we-are>

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 20^th, 2024 through the site

Each PhD student will be asked to have a recommendation letter sent 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: Hansjorg 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 TBD

Week 2: Alireza Tazbah-Salehi, Northwestern University, Title TBD

The organizers: Elisa Luciano (U. Torino), Mavira Mancino (U. Firenze), Marco Corazza (U. Ca’ Foscari Venezia), Marco Li Calzi (Collegio Internazionale Ca’ Foscari Venezia)