THE VOLUME OF TURNOVER FROM ILLEGAL ACTIVITIES: TEXT ANALYSIS, ECONOMIC RESEARCH AND STATISTICS TO PRESENT JOINT RESEARCH PROJECT WITH ISTAT

Computer science, economic research and statistics work together to investigate the economic scope and the spread of illegal activities, through economic research techniques and statistics patterns intersection, in addition to the information that a relatively young discipline such as computational linguistics can offer automatically processing big data and text.

The workshop “Volume of Turnover From Organized Crime Activities”  to be held on May 17, from 11:30 am, in room 6, is dedicated to the research project between Istat and Sant’Anna School Institute of Management, focusing on the interaction between these different disciplines.

Bid rigging in public procurement and corruption in public administration can largely interfere with proper functioning of global market economies.

"Text Mining" provides useful tools to combat corruption. Mining big data is the ability of handle structured and unstructured data obtaining meaningful information from a wide variety of texts (such as newspaper articles or Tribunals’ judgments) and then allow statistical analysis.

Workshop on May 17, chaired  by Guido Rey of Sant'Anna Institute of Management, include among the participants Sergio Bolasco, professor of statistics of the Sapienza University of Rome who designed TalTac2 software and will outline the "Models of information extraction and automatic categorization of documents"; Alessandro Lenci, professor of linguistics at the University of Pisa, will clarify the role of "Computational linguistics for analysis of Public Administration documents" and Maria Francesca Romano of Sant’Anna Institute of Economics, presenting the preliminary results of text mining process applied to the "Analysis of the judgments on bid rigging, bribery and corruption."

Click here for fully detailed workshop  agenda.