Il Document Analysis Lab (DOCU Lab) ha lo scopo di sviluppare l’analisi dei testi e dei documenti con strumenti automatizzati (e non) nell’ambito della ricerca sociale e politica. Il DOCU Lab intende affinare le tecniche qualitative e quantitative più utilizzate nell’analisi dei fenomeni politici in chiave comparata ed esplorare le potenzialità di data mining in un dominio dove esse sono attualmente usate marginalmente: l’analisi dei testi legati ai processi decisionali pubblici. La sperimentazione dell’uso di metodi di apprendimento automatico può portare ad evidenti ricadute pratiche per i decisori e le istituzioni pubbliche. Questo laboratorio potrà giovarsi delle sperimentazioni già condotte sull’analisi informatizzata di grandi volumi di testi all’interno del DSRS e sulle collaborazioni istituzionali già esistenti con studiosi, università e centri di ricerca italiani e stranieri. (cambiamenti evidenziati)
Coordinatrice
- Prof.ssa Simona Piattoni
Membri del Dipartimento affiliati al DOCU Lab
- Alberto Acerbi
- Emanuela Bozzini
- Marco Brunazzo
- Vincent Della Sala
- Alessia Donà
- Stefano Palestini
- Simona Piattoni (coordinatrice)
- Katia Pilati
- Arlo Poletti
- Mario Quaranta
- Daniela Sicurelli
Eventi
Futuri
12 settembre 2025
The European Union and the Changing Global Political Economy
Passati
Prof. Jeffery Checkel, European University Institute - 24 ottobre 2023
Process Tracing: To Deepen or to Broaden - and Why It Matters
In recent years, our research and teaching on process analytics have grown by leaps and bounds. If such analytics are about the collection and analysis of data on processes and dynamics, then we have made important advances in the analysis part. This is most clearly seen in the growing literature on Bayesian process tracing, which has given us a deeper, getting-closer-to-the-truth method. Yet, to do those analytics well requires rich, high-quality data; process tracing needs to think harder about this data collection. This means a greater focus on within-process-tracing methods and research ethics. Finally, we need to broaden how we collect and analyse our data by developing a robust interpretive form of process analytics. The next stage in developing process analytics should thus focus on broadening – its epistemological basis, the front-end data collection, its research ethics. This agenda will give students of process methods a richer, more ethically grounded, meta-theoretically plural set of tools for measuring and accessing all that cool stuff out there in the social world.
Prof. Cathie Jo Martin, Boston University - 21 e 28 febbraio 2024
21 febbraio 2024 - Book presentation
Education for All? Literature, Culture and Education Development in Britain and Denmark, Cambridge University Press, 2023
Chair: Katia Pilati, University of Trento
Presenter: Arlo Poletti, University of Trento
Discussant: Yuxin Zhang, University of Trento
28 febbraio 2024 – DOCU Lab Seminar
Narratives of Schooling. Culture, computational methods, and cross-national variation
This seminar will consider the use of computational analysis in a mixed-methods research design. Computational analyses of literature are particularly useful in studying historical cultural frames and the ways that culture contributes to cross-national differences in institutional and policy development. This seminar will therefore focus on how to use computational methods in a research designs focusing on the study cultural influences.
22 aprile-12 maggio 2024
Prof. Francesco Giumelli, Department of International Relations and International Organization University of Groningen
15-22 aprile 2024
Claudius Wagemann, University of Frankfurt
Presentazione del libro: E la nave va… Germany and Italy in Turbulent Times, Villa Vigoni Verlag 2023.