ESR11 – Silvia Russo

Silvia Russo

Country of Origin: Italy
Host Institution: HES-SO

Background:

Silvia received a Bachelor Degree in Chemistry at Sapienza University of Rome (Italy) in 2015, with a thesis on the characterization of yellow acrylic formulations in collaboration with the Superior Institute for the Conservation and the Restoration (ISCR, Rome, Italy). In 2018, she obtained a MSc Degree in Science and Technologies for the Conservation and the Restoration of Cultural Heritage as part of the European Master Programme in Archaeological Material Science. She concluded her Master with a study on the characterization and conservation of Roman iron nails hosted at Cà Foscari University of Venice (Italy), using analytical and digital techniques. Passionate about contemporary art, informatics, corrosion and conservation science, she has been trained in chemometrics (Radboud University, The Netherlands, 2018) and imaging techniques for Cultural Heritage (IPERION CH Training Camp, Comacchio, Italy, 2018) and developed skills in the study of metal objects and their degradation processes at the Soprintendenza Archeologia, Belle Arti e Paesaggio delle Marche (Italy, 2016) and at The British Museum (UK, 2017). In 2019, she participated at the development of nanoscaled treatments for the conservation and the restoration of metal and stone objects at University of L’Aquila (Italy).

Aspirations within projects:

Silvia is currently involved as ESR11 in the ITN-CHANGE framework, where she will develop non-invasive analytical protocols to study polychrome metal artefacts and detect early stage degradation. While gaining multi-skilled expertise on the topic, she aims to meet the Programme demands while establishing long term professional collaborations.

ESR11: Analysis and assessment of degradation of polychrome artworks

Objectives

  • Development of methodology based on multi-modal analyses for the assessment of the different factors in the formation of metal soaps.
  • Evaluation of analytical protocol on mock-up samples presenting characteristic degradation features.
  • Validation of the proposed multi-modal analyses methodology on real artworks.

Main Supervisor:

Co-Supervisor(s):