Digital and Research

5 credits
Minimum attendance: 50% + Passing the test

The "Third Mission and Social Impact" training course explores the connection between academic research and its socials implications.

Designed for young researchers and PhD students, it helps them expand the impact of their work beyond academia and navigate an ever-changing job market. Participants will gain skills in intellectual property rights, Open Science and responsible data sharing, as well as entrepreneurial skills such as startup development and business model design. Public engagement will also be a key focus, to ensure that researchers effectively communicate their work to a wider audience.

The course will be delivered exclusively in Italian, as it will address complex issues related to intellectual property, forms of protection and enhancement of research results, as well as entrepreneurial issues such as the development of start-ups and the definition of business models and public engagement.

Given the specific nature of the content and its strong link to national legislation, the course does not lend itself to effective translation into English.

Participation is therefore recommended for those who have a good command of Italian. At the end of the course, the teaching materials will also be made available in English for information purposes.

Course Length: 5 days for a total of 20 hours

Credits: 5 - Attendance at least 50% of lessons and passing a final test, which will be administered online, will be required to obtain credits.

The meetings will be held in mixed mode: in person at the Aula Magna IUSS, corso Porta Mare n.2 - Ferrara, and online.

    Timetable

6 Credits (4 Basic Module + 2 Specialistics Modules) | In-person at the IUSS Aula Magna, C.so Porta Mare, 2 - Ferrara
Minimum attendance 50% and successful completion of the final test.                                                                                                                                                                                                                   

BASIC MODULE (4 credits)

Target: All PhD students from Unife PhD courses.                                                                                                                                     

Objectives:

• IT tools for research projects 
• Using the university's VPN
• Tools for writing scientific publications (LaTeX) and bibliography management
• Basic methods for research collaboration and sharing methods
• Methods and purposes of the research publication process
• Quality indices for research evaluation in Italy

SPECIALISTIC SCITEC and SVISA MODULE (2 credits)

Target: PhD students in Architecture and Urban Planning, Physics, Mathematics, Engineering Sciences, Earth and Marine Sciences, Translational Neurosciences and Neurotechnologies, Biomedical Sciences and Biotechnologies, Chemical Sciences, Advanced Therapies and Experimental Pharmacology.

Objectives:

• Introduction to data analysis
• Statistical analysis and machine-learning based analysis
• Introduction and use of Weka for data analysis

SPECIALISTIC EGUS MODULE (2 credits)

Target: PhD students in Human Sciences, European Union Law and National Legal Systems, Economics and Management of Innovation and Sustainability, Environmental Sustainability and Well-being.

Objectives:

1. Bibliography:

• Bibliographic research and databases (Scopus, BiblioFe, inter-university loans, etc.)
• Organization of bibliographic citations with Mendeley (workshop)

2. How to Communicate

• Dissemination
• Communication

3. Basic statistics applied to EGUS and database management:

• Sampling, types of variables (qualitative/quantitative)
• Measures of dispersion
• Graphical representations
• Presentation of different statistical tests
• How to build and manage a database with Excel
• How to use a database with PAST (workshop)

2 Credits | In-person at the IUSS Aula Magna, C.so Porta Mare, 2 - Ferrara
Minimum attendance 50% and successful completion of the final test.

!R LANGUAGE

Target: All PhD students from Unife PhD courses.

Context: !R is one of the most widely used languages for statistical data analysis. The course is an introduction to the R language and aims to enable students to independently perform simple and advanced data analysis.

Objectives:

• Introduction to the R environment; Basic installation; Data management.
• Objects: structure, function, class/modes, indexing.
• Basic and accessory graphical functions.
• Examples of multivariate analysis. Personal projects and in-depth studies.
• How to optimize your code with AI.

    Course programme and timetable