Centre for Analysis Decisions and Society

Centre for Analysis Decisions and Society

The CADS is founded on the assumption that big data “don’t speak” if they are not properly interrogated through original combinations of advanced analytical tools, computing power, technical expertise, and domain-specific knowledge. To this end, the CADS will develop original research at the intersection of computer science, mathematics, statistics, artificial intelligence, and socioeconomic sciences, endowing HT with advanced data handling tools and analytics. The multidisciplinary environment of the centre will sustain a unique effort to develop innovative models and analytical solutions for the analysis of big and high dimensional data in the analysis of socio-economic systems. To this purpose, the CADS aims at combining domain-specific knowledge in economics and management sciences with new analytic platforms and statistical indicators and methods. That is functional to analyse the state of the economy and society and to inform investment decisions and policies in fields such as research and innovation, to survey industrial and financial systems, and examine the state of the economy, welfare, fiscal policy, public services and health care provision. A key overarching challenge addressed is how to leverage the massive increase in the availability of data on individual, economic and social behaviour to inform, evaluate, and improve decisions and policies. Data from multiple heterogeneous sources at different time frequencies will be merged to study several key features of the national economy and the impact of policy decisions on an unprecedented scale, speed, and resolution. For that purpose, the CADS aims at applying a variety of advanced techniques ranging from complex system methodologies, machine learning and data mining tools to econometrics approaches.

CADS Research Lines

Research Lines

  • Hardware and Software conceptual design
  • Information Processing
  • Modelling and Managing Socioeconomic Systems 
  • Decisions and Policies 

CADS Publications


Spatial heterogeneity in non-parametric efficiency: An application to Italian hospitals

M.Auteri, C.Guccio, F. Pammolli, G. Pignataro, F. Vidoli




Better to stay apart: asset commonality, bipartite network centrality, and investment strategies

A. Flori, F. Lillo, F. Pammolli, A. Spelta




Methods to account for citation inflation in research evaluation

A. M. Petersen, R. K. Pan, F. Pammolli, S. Fortunato




Long-term correlations in short, non-stationary time series: An application to international R&D collaborations

L.Righetto, A. Spelta, E. Rabosio, F. Pammolli




Communities and regularities in the behaviour of investment fund managers. 

A. Flori, F. Pammolli, S. V. Buldyrev, L. Regis and H. E. Stanley. 




Adherence to disease-modifying therapy in patients hospitalized for HF: findings from a community based study. 

M. Spreafico, F. Gasperoni, G. Barbati, F. Ieva, A. Scagnetto, L. Zanier, A. Iorio, G. Sinagra, A. Di Lenarda 



Turning big data into smart data: two examples based on the analysis of the Mappa dei Rischi dei Comuni Italiani

O. Didkovskyi, A. Menafoglio, P. Secchi, G. Azzone




Factors driving university choice: a principal component analysis on Italian institutions

G. Azzone, M. Soncin

2019 Studies of Higher Education



Long-term correlations in short, non-stationary time series: An application to international R&D collaborations

L.Righetto, A.Spelta, E.Rabosio, F.Pammolli

2019 Journal of Informetrics



On the role of statistics in the era of big data: A call for a debate

Secchi P.

2018 Statistics & Probability Letters


A personalized mathematical tool for neuro-oncology: A clinical case study

Agosti A., Giverso C., Faggiano E., Stamm A., Ciarletta P.

2018 International Journal of Non-Linear Mechanics


Tractography--Based Atlas of the Healthy Cortico-Spinal Tract

Stamm A., Zito A., Callioni V., Sartori I., Torriani L. and Vantini S

2018 Proc. Intl. Soc. Mag. Reson. Med.


The memory of science: Inflation, myopia, and the knowledge network

Pan R.K., Petersen A.M, Pammolli F., Fortunato S.

2018 Journal of Informetrics


On Economic Complexity and the Fitness of Nations

Morrison G., Buldyrev S.V., Imbruno M., Doria Arrieta O.A., Rungi A., Riccaboni M. and  Pammolli F.

2017 Scientific Reports


Identifying systemically important financial institutions: a network approach

Kaltwasser P.R., Spelta A.

2018 Computational Management Science