- Docente: Rossella Bozzon
- Credits: 4
- SSD: SPS/07
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Digital Innovation Policies and Governance (cod. 5889)
Learning outcomes
The laboratory, through a highly practical learning-by-doing approach, aims to improve students’ ability to read and interpret data from both quantitative and qualitative studies, and to use such information to produce written outputs in both academic and popular formats. By the end of the laboratory, students will be able to: clearly communicate the results of organizational and/or statistical analyses; and write a structured text (such as research reports, essays, or theses) using appropriate language.
Course contents
The laboratory is structured into four thematic areas that guide students in the analysis and use of different types of data (quantitative, qualitative, bibliographic), with the aim of developing practical skills in writing texts based on empirical evidence.
The topics covered will include:
Reading and interpreting quantitative data
- Types of variables
- Tables and charts
- Basic indicators and their meaning
Reading and interpreting qualitative data
- Observations and interviews
- How to summarize and represent content
- Examples of qualitative analysis
Organizing and using bibliographic sources
- How to search for and select sources
- How to build a short literature review
Writing with data
- Structure of a report or short paper
- Clear and appropriate language
- Differences between academic and popular writing
Practical exercises
- Analysis of texts and data
- Production of short written texts
- Presentation and discussion of the work
Readings/Bibliography
Corbetta P. (2014), Metodologia e tecniche della ricerca sociale, Bologna, Il Mulino.
Additional teaching materials covered during the lessons will be made available on the virtual platform virtuale.unibo.it.
Teaching methods
- Practical exercises in class and at home
- Analysis of texts and data from published research
- Production and revision of short written texts
- Individual or small group presentations
- Peer and instructor feedback
Assessment methods
Attendance at sessions is mandatory. Assessment of learning will focus on active participation during the sessions (students must attend at least 8 out of 10 classes).
Evaluation will be based on:
- Participation in lessons and exercises (20% of the final grade)
- In-class presentation (20%)
- Final report (60%)
Teaching tools
Slides and supplementary readings will be available in electronic format on the Virtual platform.
Office hours
See the website of Rossella Bozzon
SDGs



This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.