Spring School On Machine Learning, Optimization And Explainable AI

Title:         Machine Learning and Explainability
Instructor:     Damiano Verda, damiano.verda@rulex.ai
Credit points (CFU):    1
Lectures: 15 hours 
Chapter Readings, Exercises, Literary Review and Final Project: 15 hours
Lectures Period: 11-13 May 2026

LECTURES VENUE: AULA MANDRACCIO, Department of Economics, Via Vivaldi 5, Genova

Foundations of Statistical Reasoning

Prof. Christian Martin Hennig (Bologna)

20 April - 21 April 2026
Syllabus:
  • Historical development of mathematical probability and statistical inference
  • Aleatory concepts of probability (incl. foundations of frequentism, randomness)
  • Epistemic concepts of probability (incl.
Geography for Economics: Identification strategies and GIS

Instructor: Prof Andrea Matranga, University of Torino

Venue: Department of Economics, University of Genova

Room: PhD students' lab

Dates: 3-4 February 2026

Game Theory for Researchers

Instructor: Professor Frank Riedel, Director of the Center for Mathematical Economics, University of Bielefeld. 

Dates: 16-18 February 2026

Venue: Department of Economics, University of Genova, 

Room: 16-17 February Rooom Passadore - 18 February Aula Genovino in the Morning and Aula Passadore in the afternoon

CFU: 1

Regression Discontinuity Design

4-5 June 2025, online link to lecture 1 - link to lecture 2

Seminari su Effetti di genere sul mercato del lavoro degli insegnanti e ricercatori - Prof. M. Bertuol (UNSW Canberra) - 20-22 May 2025 - h. 14:30-16:30
ABSTRACT: L'attività didattica si svilupperà su tre temi riguardanti aspetti legati al genere (sesso) nel mercato del lavoro degli insegnanti/ricercatori in un’ottica parzialmente comparativa usando tecniche quantitative.
Logit Models and Demand Estimation

Instructor: Dr. Laura Lasio, JRC

Dates: 8th and 9th May 2025

Venue: Department of Economics, University of Genova, PhD Rooms

The objective of the course is to introduce the students to the structural econometric methods
used in empirical industrial organization, with a focus on demand estimation. 

Machine Learning and Explainability

Title:         Machine Learning and Explainability
Instructor:     Damiano Verda, damiano.verda@rulex.ai
Credit points (CFU):    1
Lectures: 10 hours
Chapter Readings, Exercises, Literary Review and Final Project: 20 hours
Lectures Period: May 2025

Financial Econometrics

Title: FINANCIAL ECONOMETRICS: MODELLING VOLATILITY AND CORRELATION
PROF THEODORE PANAGIOTIDIS

15-16 January 2025.
COURSE OUTLINE
This course will cover models for volatility, historical volatility, implied volatility models, autoregressive volatility, ARCH models, GARCH models, TGARCH models, EGARCH models, tests for asymmetries in volatility, GARCH in mean, volatility forecasting, stochastic volatility, multivariate GARCH models, BEKK, DCC, extension to the basic multivariate GARCH model. 
FinTech - 7-10 April 2025

Title:  FinTech

Microsimulations in Labour Markets

June 6 2024

Ugo Colombino & Nizamul Islam, 

Lost Jobs and Optimal Tax-Transfer Reforms.

The paper is an exercise in empirical optimal taxation: looking for tax-transfer reforms in view of new labour marked scenarios possibly induced by technological innovations (fewer jobs, polarization etc.).

Macroeconomic Dynamics with Dynare and Matlab

Professor Juan Paez_Farrell

Date: 14-16 May 2024 

Venue and Programme to be announced 

Applied Industrial Organization

Professor Sofronis Clerides 

29 April - 2 May 2024

Venue: TBA

Workshop Agent Based Models

Module Convenors:

Prof. Pietro Terna (Unito) e Dr. Eleonora Priori (Sant'Anna, Pisa)

Lectures on 7  February 2024

7.2A 11-13