Data mining, Cultural heritage, Information systems

1 Lecturer position
(Deadline February 22nd, 2019 23:59 )
Activity

Teaching in Data Analysis and Management for Cultural Heritage (21 hours), supervision and tutoring.

Abstract

The goal of the seminars is to introduce some of the most recent techniques for the management of complex data that can be applied to GLAMs (i.e.. Galleries, Libraries, Archives and Museums) related data. Attendees will get aware of the most advanced techniques for data management that can be used to boost the impact of GLAMs activities on various stakeholders, e.g., tourists, scholars, etc. Benefits deriving from these seminars are mainly three: awareness about the main technologies to organize and manage GLAMs' data and objects efficiently, practical examples of how to turn these data and objects into knowledge to be successively exploited, learn how to exploit people and visitors to improve the quality of GLAMs' offered services. The seminars are organized into three modules surveying different approaches and techniques for the storing, annotation, and retrieval of Cultural Heritage data. It firstly introduces the students to the issue of data management, in particular oriented towards texts. The second module illustrates some techniques for digital image understanding and users profiling, also discussing a number of data mining tools for the analysis of multimedia data. Finally, the third module is related to the novel, but already important, topic of crowdsourcing as a way to involve people in the management cycle of GLAMs data.

Formal requirements

Degree in Computer Science or in related areas

Specific requirements

International academic experience; former teaching experience at PhD level in English
 

Track: AMCH
Cycle: XXXIV
Academic Year: 2018/2019

Gross amount

3.150€

Application

Apply ONLINE only.

Guidelines for applying through the PICA platform (Italian | English).
Before filling in the application form, please read thoroughly the full call and collect all the files you may need:

Info

  • Personal info and contact info (compulsory)

Attachments

  • A scanned copy of a valid identity document (Passport or Identity Card - compulsory);
  • Your CV in English (compulsory).
Contacts: