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X-WR-CALNAME;VALUE=TEXT:Eventi DIAG
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DTSTART:20241027T030000
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UID:calendar.28350.field_data.0@www.glad.uniroma1.it
DTSTAMP:20260404T211114Z
CREATED:20240709T145255Z
DESCRIPTION:NELL' AMBITO DELLA PROCEDURA SELETTIVA PER IL RECLUTAMENTO DI N
 . 1 RICERCATORE A TEMPO DETERMINATO DI TIPOLOGIA A PER IL SETTORE CONCORSU
 ALE 09/B3\, TRASFORMATO\, EX D.M. 639 DEL 2 MAGGIO 2024\, NEL GSD 09/IEGE-
 01 - SETTORE SCIENTIFICO-DISCIPLINARE ING-IND/35\, TRASFORMATO\, EX D.M. 6
 39 DEL 2 MAGGIO 2024\, IN IEGE-01/A - PRESSO IL DIPARTIMENTO DI INGEGNERIA
  INFORMATICA\, AUTOMATICA E GESTIONALE ANTONIO RUBERTI\, DELL’UNIVERSITÀ D
 EGLI STUDI DI ROMA “LA SAPIENZA” BANDITA CON D.D. N. 185 del 17 maggio 202
 4\, CODICE CONCORSO 2024RTDAPNRR007Simone Di Leo terrà un seminario pubbli
 co in data giovedì 11 Luglio 2024\, alle ore 17:00\, presso l’Aula Magna d
 el DIAG\, e in collegamento Zoom Link alla videochiamata: https://uniroma1
 .zoom.us/j/88478546811ID riunione: 884 7854 6811Codice d’accesso: 071026**
 **************************************************************************
 ******* Title: Data Management and Quantitative Analysis of Public Service
 sAbstractThis seminar aims to address the problems in developing robust qu
 antitative analysis models for public services. While mainstream approache
 s emphasizing well-defined data\, methodology\, and theoretical foundation
 s are widely accepted\, they often overlook the inherent complexities and 
 limitations at each stage of model development. The primary objective of t
 his seminar is to present innovative approaches that mitigate common pitfa
 lls in three key areas: i) Data: addressing issues of completeness in inte
 grated databases and data error in longitudinal databases\; ii)  Methodolo
 gy: Identifying and overcoming methodological problems associated with mai
 nstream models developed for public services (specifically in the universi
 ty sector)\; iii) Theory: Presenting systematic literature review tools to
  identify and manage the existing knowledge in a specific field. The semin
 ar will present empirical analyses in different public and regulated secto
 rs that demonstrate the practical application of these refined approaches.
  By proposing strategies to address common data-theory-methodology challen
 ges\, this presentation aims to improve the quantitative analysis of publi
 c services\, ultimately supporting more effective analysis for policy eval
 uation and policymaking. Short Bio Simone Di Leo received his Ph.D. - Doct
 or Europaeus cum laude in Industrial and Management Engineering in January
  2024 from Sapienza University of Rome\, with a dissertation on “Performan
 ce Evaluation of Public Services using Nonparametric Analysis”. He has bee
 n visiting researcher at the Université catholique de Louvain (Belgium) fr
 om March 2023 to June 2023. He is currently a research fellow at Sapienza 
 University of Rome with a project on “Strategic Analysis of the Italian Re
 tail Energy Market” in collaboration with the Italian regulatory agency AR
 ERA. He has been principal investigator of the project “The assessment of 
 waste management in Italy through recent and advanced efficiency technique
 s (WastEF)”. He participated in various international research projects su
 ch as European Tertiary Education Register and Research Infrastructure for
  Science and Innovation Studies\, aimed at analyzing higher education inst
 itutions in Europe. The results of his research have been published in int
 ernational peer-reviewed journals such as Journal of Informetrics\, Intern
 ational Transactions in Operational Research\, Scientometrics\, Scientific
  Reports\, Utilities Policy and others.   
DTSTART;TZID=Europe/Paris:20240711T170000
DTEND;TZID=Europe/Paris:20240711T170000
LAST-MODIFIED:20240709T152424Z
LOCATION:Aula Magna\, DIAG e online su Zoom: https://uniroma1.zoom.us/j/884
 785  Codice d’accesso: 071026ID riunione: 884 7854 6811 46811
SUMMARY:Seminario Pubblico di Simone Di Leo - Simone Di Leo
URL;TYPE=URI:http://www.glad.uniroma1.it/node/28350
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