Associate Professor of “Information System”
University of Milan-Bicocca
Mario Mezzanzanica is Associate Professor of Information System at the University of Milan Bicocca – Department of Statistics and Quantitative Methods. He teaches Information Systems and Business Intelligence at the University of Milan Bicocca in courses of degree programs and masters.
Starting from 2005 he is the Scientific Director of “CRISP” – Inter University Research Centre on public services while since 2006 he has become member of the Scientific and Technical Committee of CEFRIEL – ICT Centre of Excellence For Research, Innovation, Education and industrial Labs partnership. Since 2012 he is member of the Scientific Committee of European Network on Regional Labour Market Monitoring, a not-for-profit organisation to further concepts and instruments in the field of Regional Labour Market Monitoring. Since 2010 he is president of the Committee of coordination and director of the Master “Business Intelligence and Big Data Analytics” provided by University of Milan Bicocca.
He has carried out his research activities which include Information Systems, Databases, Business Intelligence and Knowledge Discovery, resulting in more than 100 authored works published on scientific journals, conference proceedings, and books at both international and national level. He is member of the editorial board of international journals in the field of Artificial Intelligence and Information Systems. He has also been involved in several technical and scientific committees activated by Public Institutions, aimed at studying new models and methodologies to design, monitor and evaluation of innovation projects, with relevant impacts on ICT-based public services. In several projects and research units he held the coordination role.
University of Milan-Bicocca
University of Milan-Bicocca
The Network on Regional Labour Market Monitoring is a European-wide, non-profit organisation to further concepts and instruments in the field of Regional Labour Market Monitoring
He investigated the methodological aspects concerning the design and reengineering of centralised and distributed information systems. In addition he worked on techniques and tools for addressing archive migration issues.
The research and study activities concern methodologies and strategic planning techniques for information systems, the definition of strategic positioning of the informative system inside complex strategies of organizations, the definition of applicative, technological and organizational strategy. We meet a peculiarity in the ambit of design and/or reorganization activities of Federate Informative Systems. In these systems the main focus is on the applicative architectural vision that has to be conceived in the full respect of autonomy management and organizational autonomy of the structures that are part of the federation. The architecture of inter-operability and applicative cooperation plays the main part for the Federate Informative Systems design.
This research area studies and analyses the methodological aspects of design and management of institutional data (both public or private) to maximise the informational efficiency of the decisional process. The analysis concerns the methodologies, the techniques and the tools to manage the quality of data. The approach and methodologies have been applied to several different uses.
The first is related to the decision needs of individual organizations with emphasis on of directional informative requirements.
The second is related to “knowledge” needs of public services that require statistic methodologies and techniques – Statistical Informative System and data mining.
In this case with CRISP he has developed a methodology for processing and analysing administrative data on labour market and vacancy data. With these tools CRISP elaborates data for 5 major regions in Italy and has conducted research with several partners at European level.
In addition with CRISP he has developed innovative tools for analysing health data and assessing the quality of the health system. These pioneering studies have constituted the basis for similar experiments in several European countries.
Recently, the rapid diffusion of Information Systems has made available a huge amount of data, that require the use of KDD techniques and methodologies for extracting trustable and effective knowledge from the data, as they represent a valuable value for enterprises and PAs for deeply understand social, economic and business phenomena. His research in this direction has covered all the main step of the KDD process, which includes the data selection and integration; data preprocessing, transformation and cleaning; (statistical) data mining and multidimensional data visualization as well (e.g., parallel-coordinates). Specifically, he investigated automatic techniques for big data cleaning (i.e., based both of AI and ETL methods) applying it successfully to the labour market domain.
Furthermore, he devoted a particular attention to the use of ontologies and information extraction techniques for dealing with unstructured and weakly-structured data (e.g., Web sources). Towards this direction, his research also includes the use of semantic-based reasoning for extracting and producing linked-open data (LOD) from semi-structured data.
The project has focused on the strengthening of the production structure of the Labour Market Observatory. The aim of the project is in knowledge generation for supporting the decision making process, focusing on the labour market policy definition. A model for data analysis has been defined based on administrative data sources, by obtaining a statistical knowledge base exploited for supporting the generation of new statistical indicators (2009-2014).
The project has focused on the study and definition of innovative data models for the Labour Market through the integration of several (external) Labour Market data sources. A Statistical Information System for decision making support has been realised, together with several reports concerning the analysis of the labour market dynamics at territorial level (2012-2014).
SEEMP (Single European Employment Market-Place). It is a European research project within the 6th FP. The project has dealt with the realisation of distributed architecture – through semantic-based reasoning techniques – to allow labour market operators of several participating countries to share relevant information about job demands and offers, by dealing with the different languages and information representation issues. Furthermore, a DW for the decision support system has been generated as (one of) the outcomes of the project (2006-2009).
The project was born from the collaboration between the Milan municipality and the Department of Statistics of the University of Milan-Bicocca. The project is concerned with the improvement of (socio-economic) aspects related to municipality administrative datasets by supporting the decision making for active policies. To this end, a Statistical Information System has been realised that allows one to (1) create statistical descriptive analyses and (2) compute statistical indicators for supporting the decision making on the basis of multivariate data models (2003-2010).
The project has been devoted to the realisation of the Labour Market Observatory based on a federated data model for the enhancement of human capital. To this end, the project has dealt with the data model integration of several data sources (both statistical and economical), that has been then analysed for the generation of indicators for supporting the decision making activities in the context of active policy design, educational and training paths as well (2009-2010).
The Elisa Project (Statistical Information System for the Labour Market of the Milan Province). The project is aimed at realising a statistical information system – through open-source solutions – for studying and monitoring the labour market dynamics with the aim to enable policy makers to plan new policies timely taking into account the labour market changes. The project has exploited the informative power of several administrative data sources by focusing on local labour markets, with the goal to overcome the lack of information provided by the official and traditional statistical sources (2008-2009).
ARLI (Achieving National and Regional Impact). It is a EU founded project (PROGRESS Programme) which was aimed at improving the skills governance and provision of labour market intelligence at European, national, regional and local level, enhancing the involved stakeholders’ ability to anticipate skills supply and demand. The project has involved 7 partners from 6 different countries and has included two main tasks: (1) the analysis of the information needs of labour market stakeholders and (2) the exploration of how existing regional and local provision of skills forecasting could be enhanced, including through interrelation with EU Skill Panorama; CRISP realized all the tasks focusing on the Italian national and regional context (2013-2014).
Development of the Observatory of the Lombardy Labour Market. The project has been carried out in collaboration with the Regional Education Training and Employment Agency of Lombardy was the completion of a process that began in 2007 aiming at building a system for monitoring the performance of the labour market through the use of administrative data. Periodic analysis and detailed reporting on the performance of the labour market, in terms of general trend, professions and skills were also provided. Moreover the project included analysis to support the design and the evaluation of employment policies for specific targets. (2008- 2014)