Programma dettagliato e risultati di apprendimento attesi
The "Complementary Doctoral Skills" course consists in three independent modules.
Part 1. Assessing cognitive biases and affective states through data analytics I
Module responsible: Prof. Mara Tanelli (DEIB)
The module aims at presenting a multifaceted topic, which is that of the assessment of cognitive biases both qualitative and quantitative. Such a process involves many different disciplines, such as neuroscience, social and behavioural psychology, linguistics, affective computing, machine learning and data analytics. The course aims at presenting an integrated vision of this challenging research with a multi-disciplinary teachers’ pool that will be able to provide insights on the different aspects. Specifically, the course will present the concept of unconscious biases and stereotypes, with particular reference to gender issues, offering their linguistic analysis and analyzing their effects and impact in different business and societal contexts. Then, the propagation of these biases in the technological setting will also be discussed, together with highlights on how technology can help mitigating such biases if correctly employed.
Part 2. Discriminations and new technologies: risks and opportunities
Module responsible: Prof. Fiammetta Costa (DESIGN)
The aim of the module, organized by Confidential counsellor and Unified Guarantee Committee of Politecnico di Milano, is two-fold. On the one hand it provides tools (regulatory, psychological and cultural) to prevent and challenge dysfunctional situations. On the other hand it stimulates the development of research themes aimed at supporting those categories most at risk of fragility (age, disability, gender, nationality) in relation to new technologies. Professionals, teachers and jurists working for decades in the field of discrimination and new models of organization will participate addressing questions such as: - How to apply our technical skills for the most fragile workers? - How can we use our knowledge to prevent discrimination? - What are exactly discrimination and harassment, how do they impact on study and work? Participants will be involved in discussion and teamwork and finally asked to identify a call on related issues and deliver a preliminary written proposal on the selected topic taking into account their individual research theme.
Part 3. Digital (Scientific) Literature, Bibliographies and Bibliometrics
Module responsible: Prof. Enrico De Angelis (ABC Dept)
The module aims to introduce the PhD Students to the use of Digital Scientific Literature and to train them in performing a systematic search in the many clusters available, analyzing its results on a quantitative basis and organize a bibliographical database.
It is a workshop-homework based module, during which the students will see how to set their digital identities as researchers and acquire helpful tools for a deep understanding of their research field and their research topic, as well for their literature reviews. The students will be evaluated on the basis of a written (if possible, by a couple of them) report (i.e. the “homework”) about the applications of these tools in the analysis of the state of the art about a chosen research subject. The homework is expected to be realized in an open, free of charge, writing/reviewing platform (Authorea or similar)
Note Sulla Modalità di valutazione
Each module can be followed separately, and includes an independent assessment.
The five credits associated with the "Complementary Doctoral Skills" course are earned only when at least two modules are attended, and the respective examinations are passed (with mark A/B/C/D). One single module does not earn any credits.
The mark associated with the "Complementary Doctoral Skills" course will be the worst among the two best marks obtained in the single independent modules. To make a specific example:
- an "A" and a "C" provide a "C" as a final mark
- an "A", a "B" and a "C" provide a "B" as a final mark
- an "A", an "A" and a "D" provide an "A" as a final mark.
Intervallo di svolgimento dell'attività didattica
Calendario testuale dell'attività didattica
Part 1. Assessment and impacts of unconsciuous cognitive biases.
Monday 3 February 2020: 9.15-13.15 and 14.15-16.15
Tuesday 4 February 2020: 9.15-12.15
Wednesday 5 February 2020: 9.15-12.15
Part 2. Discriminations and new technologies: risks and opportunities.
Thursday 26 and Friday 27 March 2020
Part 3. Digital (Scientific) Literature, Bibliographies and Bibliometrics.
Monday 20 January 2020: 9.30-17.00
Tuesday 21 January 2020: 9.30-17.00
xx February 2020: 9.30-17.00