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DTSTART:20171029T030000
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UID:calendar.12418.field_data.0@diag.uniroma1.it
DTSTAMP:20260404T212047Z
CREATED:20170628T143357Z
DESCRIPTION:Short Bio and AbstractsFrancesco Lissoni is professor of econom
 ics at GREThA – Université de Bordeaux and ICRIOS Fellow at Bocconi Univer
 sity in Milan. After his PhD at the University of Manchester\, he worked f
 or over 15 years at the University of Brescia and visited several European
  universities\, plus MIT (Cambridge\, MA) and\, most recently\, the Univer
 sity of Melbourne. His research interests cover the economics of science\,
  innovation adoption\, intellectual property\, university-industry technol
 ogy transfer\, and the geography of knowledge diffusion. He is a member of
  the scientific committee of EPIP (European Policy for Intellectual Proper
 ty) and consults for ANVUR (Italian National Agency for the Evaluation of 
 Universities and Research).Patent data: Where do they come from? What are 
 they good for?Quantitative studies of technological change have be exploit
 ing patents as indicators of innovation activity since at least Nelson’s (
 1962) classic Rate and direction of inventive activity. Patent data are ea
 sily available (now in digital format)\, cover many countries\, and are ri
 ch in technical information\, thanks to their fine classification. Over th
 e last decade or so\, national and international patent offices have made 
 available an increasing quantity of documentation. This includes patent pr
 ocessing information (divisionals\, continuations in parts\, oppositions)\
 , cited prior art and non-patent literature\, the legal status of patents\
 , and relational information on inventors and assignees. A booming communi
 ty of users contributes with disambiguation (of inventors\, assignees and 
 non-patent literature) as well as with data linkage (to archival informati
 on on companies and individuals). Patent data analysis now goes well beyon
 d patent and citations counts\, and includes\, most notably\, large networ
 k analysis and text analysis for contents reclassification. Applications r
 ange from the economics of intellectual property\, geography of innovation
 \, and increasingly sophisticated technology intelligence.Gianluca Tarasco
 ni is Database Architect at ICRIOS\, the Center for Research in Innovation
 \, Organization and Strategy of Bocconi University\, Milan. His main field
 s of activity are patent data\, bibliographic data and datamining. He gave
  important contribution to the scientific community in this field by deliv
 ering in 2005 a clean version of patstat for EPO data (see the Keins datab
 ase on academic inventors: methodology and contents F Lissoni\, B Sanditov
 \, G Tarasconi\,WP cespri 181) and developing an effective algorithm for s
 olving the problem of inventors/authors disambiguation. His technical blog
  (http://rawpatentdata.blogspot.com/) has become a key reference for users
  of PatStat\, the Worldwide Patent Statistical Database produced by the Eu
 ropean Patent Office.The wealth of PatStat: Document tracking in the World
 wide Patent Statistical DatabaseThe presentation will be centered on how t
 o exploit\, understand and reclassify patent information\, especially the 
 one available in PATSTAT\, the patent statistical database produced by EPO
  and related products. Also examples of patents life cicles\, related docu
 ments produced and the relative information will be shown\, as well as a t
 echnical appendix showing out the structures of available databases.
DTSTART;TZID=Europe/Paris:20170705T113000
DTEND;TZID=Europe/Paris:20170705T113000
LAST-MODIFIED:20190805T155053Z
LOCATION:Aula Magna (DIAG)
SUMMARY:MORE@DIAG July 5th\, 2017: Francesco Lissoni - Gianluca Tarasconi -
  Francesco Lissoni (GREThA – Université de Bordeaux and ICRIOS\,  Bocconi 
 University ) and Gianluca Tarasconi (ICRIOS\,  Bocconi University)
URL;TYPE=URI:http://diag.uniroma1.it/node/12418
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