Visualization Strategies for Complex Literary Data

Italian Ministry of Education, University and Research; Italia; On-site; EUR 32,000 - 44,000; Full time

Job summary

The research activity at ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA's Department of Classical Philology and Italian Studies will explore effective visualization strategies for representing and communicating complex data, with a focus on à contrainte literature as a case study.

By analyzing formal constraints and combinatorial practices, the project will test various data visualization models and interaction modes to ensure accessibility and reuse of complex information for diverse user types.

Qualifications

• Experience in visualizing complex data.
• Ability to analyze formal constraints and combinatorial practices.

Responsibilities

• Investigate effective visualization strategies for representing and communicating complex data.
• Test different data visualization models and interaction modes.
• Assess how visual solutions make information accessible and explorable for diverse users.

Skills

Data visualization

Research methods

Complex data analysis

Job description

Organisation/Company ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI FILOLOGIA CLASSICA E ITALIANISTICA Research Field Computer science » Informatics Information science Literature » Literary criticism Technology » Dating techniques Literature Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 10 Nov 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The research activity will investigate effective visualization strategies for representing and communicating complex data, using 'à contrainte' literature as a case study. By analysing formal constraints and combinatorial practices, different data visualization models and modes of interaction will be tested. The research will assess how effectively these visual solutions make complex information structures accessible, explorable, and understandable to different types of users to guarantee scalability and reuse.

• Italy

Eligibility of fellows: country/ies of residence:

• OTHER

Eligibility of fellows: nationality/ies: