What Contribution Can Artificial Intelligence Make to European Policies? from EU to Global Policies
What Contribution Can Artificial Intelligence Make to European Policies? from EU to Global Policies
Tuesday, 8 July 2025: 14:00
Location: FSE001 (Faculty of Education Sciences (FSE))
Oral Presentation
Artificial Intelligence (AI) offers a number of thoughts and opportunities that have been unexplored to date. While we
may think of it as a very useful tool that will touch a large part of our lives, consciously and unconsciously, we are also
unaware of the procedures and ways in which AI moves with great adaptive capabilities on our devices.
In the next seven years we will have a considerable amount of information coming from AI. This is because the European
Programme 2021-2027, in particular the Euromed and Alcotrà programmes, focus much more than in previous projects
on Technological Innovation, with a clear interest in the inclusion of AI and the direct consequence of a series of
increasingly broad experiments both at national and international level.
The abstract aims to highlight what contribution artificial intelligence can make in the field of social research by setting as
a fixed point the tools that have been consolidated to date in research methodology, whether they are traditional or
closely linked to e-methods.
It is necessary to stop and think about how and what data AI provides us with, we must therefore ask ourselves: are we in
the same field of analysis as e-methods? Can we instead continue to handle such data through traditional analysis
techniques, or should we think of AI as totally new data/information?
These are just some of the questions to which we shall attempt to give a series of answers, without any claim to
exhaustiveness of course, but aimed at discussing representativeness, not only statistical, but understood in a much
broader sense.
It will be an opportunity to discuss data matrices, software for AI analysis, the amount of information and collaterally
research designs and what strategies can be used to better ‘adapt’ artificial intelligence to social research.
may think of it as a very useful tool that will touch a large part of our lives, consciously and unconsciously, we are also
unaware of the procedures and ways in which AI moves with great adaptive capabilities on our devices.
In the next seven years we will have a considerable amount of information coming from AI. This is because the European
Programme 2021-2027, in particular the Euromed and Alcotrà programmes, focus much more than in previous projects
on Technological Innovation, with a clear interest in the inclusion of AI and the direct consequence of a series of
increasingly broad experiments both at national and international level.
The abstract aims to highlight what contribution artificial intelligence can make in the field of social research by setting as
a fixed point the tools that have been consolidated to date in research methodology, whether they are traditional or
closely linked to e-methods.
It is necessary to stop and think about how and what data AI provides us with, we must therefore ask ourselves: are we in
the same field of analysis as e-methods? Can we instead continue to handle such data through traditional analysis
techniques, or should we think of AI as totally new data/information?
These are just some of the questions to which we shall attempt to give a series of answers, without any claim to
exhaustiveness of course, but aimed at discussing representativeness, not only statistical, but understood in a much
broader sense.
It will be an opportunity to discuss data matrices, software for AI analysis, the amount of information and collaterally
research designs and what strategies can be used to better ‘adapt’ artificial intelligence to social research.