Organization profile

Profile Information

Like the industrial revolution shook the past two centuries, the digital revolution is transforming our daily life as well as the functioning of our social and economic systems. Individuals increasingly use information and communications technology in their daily life; new goods and services are developed at an increasingly fast pace and our ways of communicating, learning, moving, buying, selling and even consuming goods and services are dramatically impacted by the digital transformation of our societies.


The implications of the digital transformation will inevitably go beyond labour markets and will have direct and indirect impact for our social welfare systems as well as our ways of conceiving the next generations’ education and training. 

Digital Transformations is a transversal cross-departmental research program that seeks to extend the use of mathematical modelling and optimization to complex socio-economic systems so as to obtain descriptive and prescriptive models able to define/assess socio-economic policies as well as to predict their impact. Its main goal is to connect data to decisions in such a way to solve these problems effectively, achieve better / smarter decisions,  and ultimately impact positively society. 

The program heavily exploits analytics, quantitative modeling and computer science to tackle practical problems arising from different domains ranging from finance to education, passing through health care, transportation, telecommunications, and personalized medicine. 

Digital Transformations covers the following broad research areas:

  • Discrete and Robust Optimization
  • Mathematical Programming
  • Combinatorial and Graph-Theoretic Algorithms
  • Design and Analysis of Algorithms
  • Development of large-scale optimization techniques

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Profiles

Photo of Daniele Catanzaro
20192020

Projects

Research Output

On the Balanced Minimum Evolution polytope

Catanzaro, D., Pesenti, R. & Wolsey, L., 1 May 2020, In : Discrete Optimization. 36, 100570.

Research output: Contribution to journalArticle

Enumerating vertices of the balanced minimum evolution polytope

Catanzaro, D. & Pesenti, R., 1 Sep 2019, In : Computers and Operations Research. 109, p. 209-217 9 p.

Research output: Contribution to journalArticle