ConferenceFinance & BankingData Science & Analytics500 attendees

20 fellowships for advanced courses in Risk Analytics, funded by Collegio Internazionale Ca’ Foscari (CICF) in Venice

Jun 13, 2023
500

Attendees

17

Speakers

72

Sponsors

1

Exhibitors

About

Doctoral Colloquium on Risk Analytics: an honour course in analytical methods for the measurement, management and mitigation of risks.

Speakers (17)

View all 17 →
Aa

Aims and scope

The Colloquium is an

A

Application

How to apply:

Bp

Branching process comparisons

Branching process comparisons for random graphs

Cs

Community structures

Networks and their community structure

Dv

Dense versus sparse models (very brief)

Intro to dense random graphs

E

Email:

For information:

Id

Information diffusion on networks

Smallest-weight routing on random graphs

Lc

Local convergence of random graphs

Intro to local convergence (LC)

Ns

Network statistics and centrality measures

Degree-degree dependencies

Nv

Network vulnerability and percolation

Attack vulnerability: Directed attack at Random attack and percolation

Rg

Random graphs as models for real-world networks

More realistic random graph models:

RM

Reading Material:

1\. Own slides

Sponsors (72)

20 hours25Advisory boardAims and scopeApplicationAPPLYINGBranching process comparisonsCollegio InternazionaleCommunity structuresContentsContents:[Contents](https://landing.cafoscarichallengeschool.it/docra/\#)Dense versus sparse models (very brief)Email:Executive secretaryfive 2-weeks sessionsfive independent 2-week sessions**For information:** [colloquia.cicf@unive.it](mailto:colloquia.cicf@unive.it)Fri 17/4: GUEST LECTUREFri 1/8: GUEST LECTUREFri 19/9: GUEST LECTURE on Introduction to CyberRiskFri 23/1: GUEST LECTURE on Network Econometrics: Extraction and ModellingFri 28/2:GUEST LECTUREhonour courseHOWInformation diffusion on networksJanuary 2025 and April 2026LecturerLecturer:Local convergence of random graphsMarch, 18th, 2026maximum size of a class(Mo 24/2 to Fri 28/2):[More information](https://landing.cafoscarichallengeschool.it/docra/\#aims)Network statistics and centrality measuresNetwork vulnerability and percolation[Note for students](https://landing.cafoscarichallengeschool.it/docra/\#)PhD candidatesPractical InformationRandom graphs as models for real-world networksReading Material:Real-world networksreCAPTCHAReferencesSession 1: Modern risk measurement (23 February–8 March 2025)Session 2: New challenges on long-run risks (27 July–9 August 2025)Session 3: AI for Risk (14–27 September 2025)Session 4Session 4: Networks and risk propagation (18–31 January 2026)Session 5SignupnowSpeakerSpeaker:Statistics for dynamical networksSteering CommitteeStructural properties of random graphsTargetthe cost will be supported by the organizationTopics covered:two coursesup to a maximum of € 200 per person for travel expensesWeek 1Week 1 (Mo 13/4 to Fri 17/4)Week 1 (Mo 28/7 to Fri 1/8):Week 2 (Mo 20/4 to Fri 24/4)Week 2 (Mo 26/1 to Fri 30/1, 2026): Production NetworksWeek 2 (Mo 3/3 to Fri 7/3):Week 2 (Mo 4/8 to Fri 8/8):WhenWhereWho:

Exhibitors (1)

Partner