SOMMERSCHIELD Thea

Position
Research Grant Holder
E-mail
thea.sommerschield@unive.it
Website
www.unive.it/persone/thea.sommerschield (personal record)
Office
Department of Humanities
Website: https://www.unive.it/dep.humanities
Research Institute
Research Institute for Digital and Cultural Heritage

Activities and research skills

Geographic areas in which the research experience mainly applies
Internazionale: Europa, America Settentrionale
Known languages
Italian and English (bilingual) (scritto: madrelingua parlato: madrelingua)
Spanish, French, German, Modern Greek (working knowledge (scritto: avanzato parlato: intermedio)
Participation in editorial boards of scientific journals/book series
Reviewer for the European Research Council (ERC) Starting Grant applications.
Reviewer for the ACM-JCCH Journal on Computing and Cultural Heritage.
Scientific translator (Italian-English) for academic publishing.

Participation as referees of national and international research projects
Steering Committee member of epigraphy.info
Editorial Board for the Digital Classics Wiki
Advisory board member “EpiSearch Project”, Ca’ Foscari University of Venice.
Research associate department of Humanities, Ca’ Foscari University of Venice.
Research associate Faculty of Classics, University of Oxford.

Areas and research fields
Area: Archeologia ed arti Linea: Archeologia e storia delle arti antiche
Area: Beni culturali Linea: Valorizzazione di beni culturali
Area: Filologia e Lingua Linea: Epigrafia e paleografia
Area: Filologia e Lingua Linea: Filologie dell'età classica
Area: Filologia e Lingua Linea: Informatica umanistica
Area: Filologia e Lingua Linea: Storia del libro, biblioteconomia
Area: Informatica Linea: ARTIFICIAL INTELLIGENCE
Area: Storia e Antropologia Linea: Epigrafia e paleografia
Area: Storia e Antropologia Linea: Storia delle civiltà antiche
Ancient History
Description:
Ancient Greek and Roman History
Keywords:
Ancient history, Epigraphy, Ancient greek
ATECO code:
[72] - ricerca scientifica e sviluppo
Machine Learning for ancient languages
Description:
Machine Learning for ancient languages
Keywords:
Epigraphy, Computer technology, Ancient languages
ATECO code:
[72] - ricerca scientifica e sviluppo
Deep Learning for the study of Greek inscriptions
EpiSearch. Codici epigrafici e Digital Humanities
Funding body:
MUR
Type:
Altri programmi ministeriali
Role in the project:
LD
Starting date:
Year: 2021 Length in months: 24
Other members of the research group:
Federico BOSCHETTI
Lorenzo CALVELLI
Franz FISCHER
Daniele FUSI
PythiaPlus: Machine learning for the study of ancient epigraphic cultures
Funding body:
European Commission - Horizon 2020
Type:
H2020 - Excellence Science - Marie Skłodowska Curie Actions
Role in the project:
LD
Sito di progetto:
https://pric.unive.it/projects/pythiaplus/home
Starting date:
Year: 2021 Length in months: 24
Other members of the research group:
Lorenzo CALVELLI