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BIANCHI Annamaria

BIANCHI Annamaria

Componente del Comitato per l’integrità e l’etica della ricerca
Universita' degli Studi di Bergamo
Professori Associati
Dipartimento di Scienze Economiche
Course Catalogue:
https://unibg.coursecatalogue.cineca.it/docente-ma...

Gruppo 13/STAT-02 - STATISTICA ECONOMICA

Settore STAT-02/A - Statistica economica
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  •  annamaria.bianchi@unibg.it
  •  0352052562
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Cv Allegato

cv_europeoBianchi_Annamaria_SEPTEMBER2023_English.pdf (Curriculum vitae Annamaria Bianchi)

Curriculum Vitae

Annamaria Bianchi is Associate Professor of Economic Statistics at the Department of Economics (DSE) of the University of Bergamo (Italy). She obtained her double PhD in Mathematical Statistics in 2007 at the University of Milan and University Paris VI. Her main research interests are in the area of web surveys, online panels, representativity, composite indicators, non-probabilistic methods for data collection and inference, and analysis of social media data. Her scientific papers are published in the Journal of Official Statistics, Survey Methodology, Journal of Econometrics, Social Indicators Research, and other academic journals.
In 2022 she received the Italian scientific qualifications (ASN) as Full Professor in Economic Statistics (13/D2, SECS-S/03).
In 2023 her research has been supported as responsible for the University of Bergamo for the project PRIN (Progetti di Rilevante Interesse Nazionale) of the National Recovery and Resilience Plan (NRRP) “MYPEOPLE: Measuring inequalitY, PovErty and living cOnditions for Planning Local stratEgies” (project code P2022J7TJ3).
She is an elected member of the International Statistical Institute (ISI), research associate of the Institute for Social and Economic Research (ISER, University of Essex), research fellow at Carleton University (Ottawa, Canada), and a member of the International Association of Survey Statisticians (IASS) where she is currently serving as member of the Executive Committee for the period 2023-2025.
She is member of the Board of the European Master in Official Statistics (EMOS) for the period 2024-2026.
She is Associate Editor of the journals Statistical Methods & Applications (SMA).
She is currently reference professor of the European Master in Official Statistics (EMOS) programme at the University of Bergamo.

Ricerca finanziata

MYPEOPLE: Measuring inequalitY, PovErty and living cOnditions for Planning Local stratEgies 
RN_PRIN Progetti PRIN
Progetto
Responsabile scientifico
2023
24 mesi
No Results Found

Pubblicazioni (53)

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Insegnamenti offerta formativa corrente (5)

DATA PRODUCTION AND ANALYSIS - 110010-ENG

Primo Semestre (16/09/2024 - 20/12/2024) - 2024
ECONOMICS AND DATA ANALYSIS ( Dipartimento di Scienze Economiche )
Laurea Magistrale
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore

STATISTICS FOR ACCOUNTING - 179008-ENG

Secondo Semestre (17/02/2025 - 31/05/2025) - 2024
ACCOUNTING, GOVERNANCE AND SUSTAINABILITY ( Dipartimento di Scienze Aziendali )
Laurea Magistrale
SSD SECS-S/03, 9 CFU, 72 ore
SSD SECS-S/03, 9 CFU, 72 ore

STATISTICS FOR MANAGEMENT - 134005-ENG

Primo Semestre (16/09/2024 - 20/12/2024) - 2024
INTERNATIONAL MANAGEMENT AND MARKETING ( Dipartimento di Scienze Aziendali )
Laurea Magistrale
ECONOMICS AND DATA ANALYSIS ( Dipartimento di Scienze Economiche )
Laurea Magistrale
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore

TEXT MINING AND ANALYSIS (IN THE HUMANITIES) - 17711-ENG (Bozza)

Secondo Semestre (17/02/2025 - 24/05/2025) - 2024
TEXT SCIENCES AND CULTURE ENHANCEMENT IN THE DIGITAL AGE ( Dipartimento di Lingue, Letterature e Culture Straniere )
Laurea Magistrale
SSD SECS-S/03, 6 CFU, 36 ore
SSD SECS-S/03, 6 CFU, 36 ore

TEXT MINING AND SENTIMENT ANALYSIS - 149011-ENG

Secondo Semestre (17/02/2025 - 31/05/2025) - 2024
ECONOMICS AND DATA ANALYSIS ( Dipartimento di Scienze Economiche )
Laurea Magistrale
INTERNATIONAL MANAGEMENT AND MARKETING ( Dipartimento di Scienze Aziendali )
Laurea Magistrale
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore
SSD SECS-S/03, 6 CFU, 48 ore
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