Hours:
20 hours (5 credits)

Room:

Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa - Ground Floor
Aula Riunioni del Piano 6 del Dipartimento di Ingegneria dell’Informazione, Largo Lucio Lazzarino 1, Pisa

To register to the course, click here

Short Abstract:

Over the last decade, research has scaled up tremendously in complexity. The number of contributing institutions, collaborations, projects, and funding opportunities has grown exponentially, thus characterising research as a multifaceted, high-frequency, global-scale phenomenon deeply bonded to a delicate socio-economical and geopolitical context. Researchers nowadays produce millions of articles, data, software, patents, preprints, and grant proposals each year, leaving explicit digital fingerprints of their daily endeavour.

The ever-increasing availability of this data has catalysed the emergence of a new multidisciplinary field, called Science of Science, which, by helping us to comprehend the evolution of science and its dynamics quantitatively, has the potential to unlock enormous scientific, technological, and educational value. A blend of methodologies, tools and theoretical frameworks from multiple fields, such as data science, network science, artificial intelligence, and social science, offers novel opportunities to make sense of these millions of data points. Together, they unfold a complex yet compelling story on scientific career pathways, scientific collaborations, knowledge shaping and production, and the manifold, competing factors leading to scientific advancement.

Such opportunities – and the challenges here stemming – are feeding a growing community of researchers aiming at understanding scientific progress and its inner mechanisms, and providing insight on the factors that can generate successful science, allocate better the available resources, increase equality and fair access to opportunities, and therefore benefit science as a whole.

Course Contents in brief:

1. Science of science
2. Scientometrics
3. Bibliometrics
4. Data science
5. Open science
6. Scholarly communication

Schedule:

1. 19/06/2023: 9:00 - 13:00, Aula Riunioni del Piano 6 - Largo Lucio Lazzarino 
2. 20/06/2023: 9:00 - 13:00, Aula Riunioni del Piano 6 - Largo Lucio Lazzarino 
3. 21/06/2023: 9:00 - 13:00, Aula Riunioni del Piano Terra - via Caruso 
4. 22/06/2023: 9:00 - 13:00, Aula Riunioni del Piano Terra - via Caruso
5. 23/06/2023: 9:00 - 13:00, Aula Riunioni del Piano Terra - via Caruso