Firenze, 24 ottobre 2016 Biblioteca Umanistica Università di Firenze

1. DH & LIS
Firenze, 24 October 2016
Maria Simi & Enrica Salvatori

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10. Defini4ons
• LIS is “the discipline which studies the
communica4on chain of recorded informa4on
…” (Bawden & Robinson, 2015)
• DH is a “field at the intersec4on of
computa4onal technology and humani4es”
– Use of computa4onal methods in the humani4es
– Reflec4ons on the impact of ICT on culture and
society

11. Topics in the intersec4on
• Searching and retrieval
• Digital libraries and archives
• Metadata and resource descrip4on
• Ontology, classifica4on and taxonomy
• Publishing and dissemina4on
• Open access
• Linked data
• Collec4on management and cura4on
• Portals, repositories, web plaZorms
• Digi4za4on & preserva4on
• Interac4vity and user experience, HC interfaces
• Cultural heritage

12. Different concerns and ac4vi4es
• LIS
Research, acquire, select, describe, classify, organize,
store, preserve, make retrievable … [digital] assets
• DH
Research, study, analyze, cri4cize, annotate,
compare, correlate, transform, produce … [digital]
cultural contents

13. My model (so far)
• Typical of LIS
– meta-data rather than data
– It a social science: management, organiza4onal, economic aspects
• At the boundaries
– [Big-]data analy4cs (computa4onal methods applied to data analysis)
– User centered design
• DH is mainly about contents and the crea4on of digital ar4facts
– Looking inside the box: analysis of contents
• linguis4c analysis, informa4on extrac4on, philology, history …
– Crea4ve aspects:
• linguis4c resources, digital art, 3D models, synthe4c music, web sites, literary
works, mul4media, learning assets, HC interfaces, interac4on experiences

14. LIS and DH
Management
Organiza4on
User studies
Big data analy4cs
Informa4on retrieval
Economics
Mul4media produc4on
DIgital arts
History Philology
Cura4on
Web plaZorms
3D Modeling
Literature
DH
Bibliography
Virtual worlds
Game studies
Computa4onal linguis4cs
Web marke4ng
LIS
E-learning

15. Project EINFOSE (Erasmus+)
• EINFOSE - European Informa4on Science Educa4on
– Encouraging Mobility and Learning Outcomes
Harmoniza4on
• Goal:
The aim of this project is to overcome differences that
exist in the area of entry requirements and learning
outcomes in the field of InformaJon Science (IS). These
differences cause large mobility barriers between HEIs
that offer MA in IS and recogniJon of learning outcomes
and ECTSs at the EU level.

16. EINFOSE partnership
• Coord: University of Osijek (CROAZIA) – Tatjana Aparac-
Jelušić
• University of Borås, Sweden
• University of Hildesheim, Germany
• University of Graz, Austria
• University of Ljubljana, Slovenia
• University of Pisa, Italia
• University of Barcelona, Spain

17. Pisa @ EINFOSE
• Digital humani4es:
– Undergraduate: web design and technologies, databases,
networking, e-learning, digital libraries, methodologies for
networked historical research
– Master: knowledge management, Human-computer interac4on
including user-centered design, Digital history, Assis4ve
technologies in educa4on, PlaZorms for coopera4ve work, Physics
modeling techniques applied to human sciences
• Master in Business informa4cs
– Data mining, Informa4on retrieval, Social network analysis, Visual
analythics, Decision support system, Internet marke4ng,
Technologies for web marke4ng

18. EINFOSE ac4vi4es
• Summer schools
• Project mee4ngs
• Shared OER’s
• Final workshop in Pisa (September 2018)
… you are all invited!!!

19. Informa4ca Umanis4ca a Pisa
• Tradizione
– Padre Busa
– Linguis4ca Computazionale
– CEP, Informa4ca dal ’72
• Altri en4 di ricerca
– CNR (ISTI, IIT, ILC)
– Scuola Superiore Sant’Anna
• Dieci anni nel 2012

20. Gli inizi
• I promotori
– Dipar4mento di Italianis4ca e di Storia
– Dipar4mento di Informa4ca
• L’idea
– Combinare la formazione nelle discipline
umanis4che con la capacità di
padroneggiare la tecnologia
• L’obiervo
– Formare professionis4 flessibili, capaci di
applicare la tecnologia in maniera cri4ca
nella elaborazione e diffusione di contenu4

22. Cosa si studia: I anno
• Fondamen4 teorici e programmazione (12 CFU)
• Lingua inglese (9 CFU)
• Linguis4ca italiana (9 CFU)
• Laboratorio di scrisura (6 CFU)
• Geografia culturale (6 CFU)
• Linguis4ca generale (6 CFU)
• Progesazione e programmazione web (12 CFU)
(*) 1 CFU = 6/7 ore di lezione + 19/18 ore di studio

23. Cosa si studia: II anno
• Leseratura italiana (12 CFU)
• Storia dell’arte (6 CFU)
• Algoritmica (6 CFU)
• Introduzione agli studi storici (6 CFU)
• Leseratura italiana contemporanea (6 CFU)
• Linguis4ca computazionale (12 CFU)
• Basi di da4 e laboratorio web (12 CFU)

24. Cosa si studia: III anno
• Codifica di tes4 (6 CFU)
• Telema4ca (6 CFU)
• Lingua la4na/Leseratura la4na (6 CFU)
• Filosofia della scienza (6 CFU)
• Un corso informa4co (6 CFU):
– Grafica, Produzione mul4mediale, Biblioteche digitali,
Tecnologie per la didarca
• 18 CFU (3 esami) a scelta libera

25. Tirocinio e progeso finale
• Tirocinio (6 CFU = 150 ore)
– Presso aziende convenzionate
– Interno
• Progeso di laurea e relazione (6 CFU)
– Una “elaborazione informa4ca” di contenu4
umanis4ci/ar4s4ci/culturali
– Seguito da un relatore “umanis4co” e un relatore
“informa4co”

26. Sbocchi occupazionali
• Web content manager, grafico
• Redasore di tes4
• Sviluppatore web
• Tecnologo del linguaggio
• Tutor didarco
• …
• Proseguire con la Magistrale …

27. Laurea magistrale: strusura
• Area informa4ca (30 CFU)
– Analisi di da4 e laboratorio di programmazione Java
• Area linguis4ca/leseraria (12 CFU)
• Area ar4s4ca/storica/ giuridica (18 CFU)
• Affini e integra4vi (24 CFU)
• Seminario di Cultura digitale (6 CFU)
• Tesi (21 CFU)

28. Quasro percorsi forma4vi
• Editoria elesronica
• Grafica, interarvità,
ambien4 virtuali
• Management della
conoscenza
• Tecnologie del
linguaggio

29. Per saperne di più
• hsp://infouma.di.unipi.it