Carlo Batini, University of Milano Bicocca, Italy
Carlo Batini is full professor at University of Milan Bicocca. He obtained graduation in Engineering at University of Roma in 1972, and post graduation in Computer Science in 1973. From 1986 to 2001 he was a full professor at University of Roma La Sapienza. Since 2001 he has been a full professor at University of Milan Bicocca.
From 1993 to August 2003 he was on leave from university, as a member of the executive board of the Italian Authority for Information Technology in Public Administration, where he lead significant projects related to e-Government initiatives. Among others, projects concerned: services to businesses, access to public data, reconciliation of data bases managed by Public administrations through a federated approach, data quality as a means to improve the quality of administrative processes, accessibility and usability of web sites and services by disabled persons.
Recently his research interests have turned to cooperative information systems, data and information quality and eGovernment methodologies. With regard to cooperative information systems, he proposed methodologies for analysis of multichannel adaptive services. He developed new models for data and information quality, and developed methodologies for joint data centric and process centric quality improvement. He also developed a interdisciplinary methodology for strategic and operational planning of eGovernment initiatives, based on the assessment of quality of services, processes and data, and on the conception of projects that allow to achieve target qualities.
Since 1976 he has been teaching courses in Computer Science at Italian universities, on data bases, computer architectures and systems, information systems. He wrote more than 15 books on programming languages, data bases, conceptual modeling, data quality; among them two books were for the international market, published by Benjamin and Cummings and Spriger. A new book on eGovernment is forthcoming in 2010 published by Springer.
Aspirations as submitted during the workshop (23rd & 24th October)Imminent & 2020• Dealing with uncertaintyData are always a representing of the world, so data inherit the impreciseness, relativism and uncertainty. We need to foster models for representing uncertainty, that should be grounded on a mix of knowledge based and probability/fuzzy based languages.• Crossfertilization of disciplinesImprove the relationship between the two communities of “administrative/business” data (to which I belong) and “scientific data” (to which most of you belong) so to fix similarities and differences and favour cross fertilization of results in the two fields.Useful LinksPosition Paper by Carlo Batini, Matteo Palmonari and Andrea Maurino