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ARJUNA TUZZI

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Position

Professoressa Ordinaria

Address

VIA M. CESAROTTI, 10/12 - PADOVA

Telephone

0498274373

Arjuna Tuzzi is a (Full) Professor of Social statistics at the Department of Philosophy, Sociology, Education and Applied Psychology (FISPPA) – University of Padua, Italy.
Her main research interests concern: statistical analysis of textual data (quantitative linguistics, text mining, text clustering, authorship attribution, diachronic corpora, chronological textual data, content analysis, topic modelling), data collection tools in social research, statistical methods for the evaluation of university systems, and political-institutional communication.
She obtainea a master degree in Statistical Sciences and Demography in 1996 and obtained a Ph.D. in Applied Statistics for Economics and Social Sciences in 2000. During her Ph.D. she has been a visiting student at the Department of Statistics – University of Glasgow (UK).
She teaches Text Mining, Social Research Methods and Social Statistics for undergraduates and graduates in Communication Studies and Ph.D. students in Social sciences and in Linguistics, Philology and Literary Studies – University of Padova. She also taught at the Universities of Trieste, Ca’ Foscari Venice and for Foreigners Perugia. She worked as a post-doc at the Department of Economics and Statistics – University of Trieste.
In 2023 she was a visiting scholar at: Evaluating Variations in Language (EVL) Lab - Department of Mathematics and Computer Science - Duquesne University (Pittsburgh PA, USA); Middle Eastern Studies Department, College of Humanities and Social Sciences - Hamad Bin Khalifa University (Doha, Qatar); Dept. of Italian Language and Literature (2017) and Laboratory for Phonetics and Computational Linguistics (2022) – National and Kapodistrian University of Athens (Greece); Institute on Communication and Inclusion (2012) – Syracuse University (NY, USA), and, in the frame of the Teaching Staff Mobility Programme (2012 and 2014) Institute on Computational linguistics / Digital humanities – University of Trier (Germany).
Arjuna Tuzzi is the director of the IQLA-GIAT Summer School in Quantitative analysis of textual data and one of the founders of the Interdisciplinary Text Analysis Group (GIAT).
She has been a member of the Council at large of the International Quantitative Linguistics Association (2012-2023) and for two offices (2014-2018) she was its President.
She held the position of internal member of the Evaluation Unit (Nucleo di Valutazione) of the University of Padova (2015-2019) and of external member of the Evaluation unit of the University of Bologna (2016-2022) where she served also as President for three years (2019-2022).
Since 2007 she is a co-founder of the GIAT group (www.giat.org) - Interdisciplinary Text Analysis Group.

Notices

Starting from June, students interested in office hour are invited to write an email to schedule a meeting (arjuna.tuzzi@unipd.it).

Office hours

  • Monday from 10:30 to 12:30
    at Dip.Fisppa (sezione di Sociologia) via M. Cesarotti, 10-12

Teachings

Publications

M. Trevisani, A. Tuzzi (2022), Topics and trends in the end-of-year addresses of the Presidents of the Italian Republic (1949-2021). In: Balzanella A., Bini M., Cavicchia C., Verde R. (eds), Book of the Short Papers SIS 2022, Pearson, pp. 428-436.

M.A. Cortelazzo, F. Gatti, G.K. Mikros, A. Tuzzi (2022). Does the Century Matter? Machine Learning Methods to Attribute Historical Periods in an Italian Literary Corpus, in M. Yamazaki, H. Sanada, R. Köhler, S. Embleton, R. Vulanovic, E. Wheeler (2022, eds), Quantitative Approaches to Universality and Individuality in Language. Series Quantitative Linguistics vol.75, de Gruyter, pp.25-36.

V. Rizzoli, A. Tuzzi, A. Contarello (2022). Change Seen Through the Lens of Social Psychology in Europe and the United States, in Contarello A. (2022 ed), Embracing Change: Knowledge, Continuity, and Social Representations, Oxford University Press.

A. Sciandra, M. Trevisani, A. Tuzzi (2021), Sulle tracce dell'espressione dell'interiorità: analisi diacronica di un corpus di narrativa italiana del XIX-XX secolo, Rivista internazionale di tecnica della traduzione, 23, EUT Edizioni Università di Trieste, pp. 219-233.

M. Trevisani, A. Tuzzi (2020). Distance measures for exploring pairs of novels in a large corpus of Italian literature. In: Pollice A., Salvati N., Schirripa Spagnolo F. (eds), Book of Short Papers SIS2020, Pearson, pp.229-234.

A. Tuzzi (2018, ed), Tracing the Life Cycle of Ideas in the Humanities and Social Sciences, Springer, Cham.

M. Trevisani, A. Tuzzi (2018), Learning the evolution of disciplines from scientific literature. A functional clustering approach to normalized keyword count trajectories, Knowledge-based systems, 146, pp. 129-141.

A. Tuzzi, M.A. Cortelazzo (2018), What is Elena Ferrante? A comparative analysis of a secretive bestselling Italian writer, Digital Scholarship in the Humanities 33(3), pp.685-702.

A. Tuzzi, M.A. Cortelazzo (2018, eds), Drawing Elena Ferrante's Profile. Workshop Proceedings, Padova, 7 September 2017, Padova University Press, Padova.

S. Sbalchiero, A. Tuzzi (2017), Italian Scientists Abroad in Europe's Scientific Research Scenario: High skill migration as a resource for development in Italy, International Migration.

M.A. Cortelazzo, A. Tuzzi (2016), The First End-Of-Year Address by the New President of the Italian Republic Sergio Mattarella, in: Kelih E., Knight R., Mačutek J., Wilson A. (eds), Issues in Quantitative Linguistics 4 / Studies in Quantitative Linguistics 23, RAM-Verlag, Lüdenscheid, pp. 135-149.

A. Tuzzi, M. Benešová, J. Macutek (eds, 2015), Recent contributions to Quantitative Linguistics, De Gruyter Mouton, Berlino, series: Quantitative Linguistics n.70.

S. Campostrini, G. Ghellini, A. Tuzzi (eds, 2015) Con senso di misura. Riflessi statistici da alcuni allievi di Lorenzo Bernardi, CLEUP Padova.

Research Area

- Statistical analysis of textual data (quantitative linguistics, text mining, text clustering, authorship attribution, diachronic corpora, chronological textual data, functional textual data analysis, content analysis, topic modelling);
- data collection tools in social research;
- measures and statistical methods for evaluation and assessment of educational systems;
- political communication, public speech, institutional discourses.

RESEARCH GROUPS:
- 2024-current: Member of the research group of the Project funded by the University of Padova BIRD 2024 Capturing Distinctiveness in Text Classification Tasks (principal investigatore: Stefano Sbalchiero, University of Padova);
- 2017-2022: Secondary Proposer (ref. for Italy) and Member of the Management Committee of
the COST Action CA16204, Distant Reading for European Literary History;
- 2020-current: Member of the research group of the Project funded by the University of Padova BIRD 2020 Exit Madness (Principal Investigator: Elena Faccio, University of Padova);
- 2019-2022: Member of the research group of the Project funded by the University of Padova BIRD 2019 Epistemic virtues and knowledge. Investigating and promoting effectiveness in inquiry (Principal Investigator: Giuseppe Mario Spolaore, University of Padova);
- 2015-2017: Principal Investigator of the Project funded by the University of Padova Tracing the History of Words. A Portrait of a Discipline Through Analyses of Keyword Counts in Large
Corpora of Scientific Literature;
- 2013-2015: Member of the research group of the Project funded by the University of Padova
Scientific diaspora as a resource (Principal Investigator: Chantal Saint-Blancat, University of
Padova);
- 2010-2012: Director of the Research Unit Norma e prassi della valutazione universitaria [Norms and practice for the evaluation of university systems] (University of Padova) of the National Scientific Research Programme PRIN2008 Misure, modelli statistici e indicatori per la
valutazione del Sistema Universitario [Measures, statistical models and indicators for the
Evaluation of University Systems], Principal Investigator: Vincenza Capursi (University of
Palermo).
- 2005-07: Director and editor (with Michele A. Cortelazzo) of the Project: Messaggi dal Colle. I discorsi di fine anno dei Presidenti della Repubblica Italiana 1949-2005 [Messages from the Hill. The End-of-Year Messages of the Presidents of the Italian Republic 1949-2005];
- 2009-2013: Member of the research group of the Project The addresses of the Presidents of the
Confenderation of Italian Industries (Confindustria) 1945-2009, (Principal Investigators: Michele A. Cortelazzo and Francesca Gambarotto, University of Padova);


- 2007-current: Co-promoter and founder of the GIAT (www.giat.org)
- 2016-current: Member of the research group ReSTI – Religions, Spiritualities, Traditions,
Inquiries, Department FISPPA, Sociology division.

Thesis proposals

Research areas:
- Statistical analysis of textual data (quantitative linguistics, text mining, text clustering, authorship attribution, diachronic corpora, chronological textual data, functional textual data analysis, content analysis, topic modelling);
- data collection tools in social research;
- measures and statistical methods for evaluation and assessment of educational systems;
- political communication, public speech, institutional discourses.