Lectures

Diplomacy, Geopolitics & International Relations

Theories of International Relations – Realism, Hegemonic Stability and Global Power Scenarios

Geopolitics of the Contemporary Middle East – Resource Logistics, Boundary Fractures and Sovereign Balance of Power

Strategic Studies and Conflict Resolution – Risk Management in Non-Western Geopolitical Theaters – A Lecture about Leadership

Multivariate Analysis & Marketing Analytics

Multivariate Statistical Modeling – Dimensionality Reduction, Factor Analysis and Data Matrix Architecture

FUNDAMENTALS 1, FUNDAMENTALS 2, GRAPHS, EXPLANATORY INTRODUCTION

Advanced Consumer Behavior Analytics – Stochastic Models, Predictive Engineering and Quantitative Choice Theory

Applied Marketing Data Science – Econometric Modeling and High-Yield Asset Optimization Frameworks

HRM, Advanced Organizational Design & Human Capital Architecture

Classical Bureaucracy Foundations, Structural Contingency Models and Labor Force Optimization Engineering

Poisson Regression & Elio Fiorucci: Advanced Micro-Data Applications

Bachelor’s Project Description:
A dual quantitative framework bridging predictive stochastic modeling in urban logistics with strategic luxury marketing analytics.

This module synthesizes early econometric research on municipal transit networks with collaborative corporate legacy studies.

Luxury Retail Engineering: Quantitative behavior metrics in high-end positioning

Stochastic Mobility Modeling: Predictive Poisson algorithms for bicycle distribution.

Count Data Analytics: Non-linear estimation for public transit matrices.

Fashion System Dynamics: Strategic lecture series co-developed with Elio Fiorucci.

[Press Archive – Business People Magazine, June 2013]

For a longitudinal tracking of citations, h-index metrics and peer-reviewed computational logistics datasets, access the official repository:

[Google Scholar Profile – G. Saibene]

Full lecture slides, computational datasets and case studies are restricted.

Academic and corporate access can be requested via institutional transit: g.saibene@alumni.lse.ac.uk