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Scheda Riassuntiva
Anno Accademico 2018/2019
Tipo incarico Dottorato
Insegnamento 053905 - ASSESSING COGNITIVE BIASES AND AFFECTIVE STATES THROUGH DATA ANALYTICS
Docente Tanelli Mara
Cfu 5.00 Tipo insegnamento Monodisciplinare

Corso di Dottorato Da (compreso) A (escluso) Insegnamento
MI (1387) - DATA ANALYTICS AND DECISION SCIENCESAZZZZ053905 - ASSESSING COGNITIVE BIASES AND AFFECTIVE STATES THROUGH DATA ANALYTICS

Programma dettagliato e risultati di apprendimento attesi

The course aims at presenting a multifaceted topic, which is that of the quantitative assessment of cognitive biases and affective states. 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 all aspects. The fil rouge of the course will be data analytics, as major advances in the field of cognitive bias assessment are enabled by appropriately fusing the multi-modal information coming from the different sources and processing the resulting data with appropriate techniques.

The course aims at providing a wide spectrum presentation of these fascinating topics, covering the most relevant aspects with lectures given by leading experts in the field, with the aim of presenting to prospective students the instruments to understand the open problems and challenges and have a chance to link them to their research path.

The course will be conceptually divided into two parts of 2.5CFU each. The first one will be also offered as a stand-alone course with the "Complementary Skills" offer of the Doctoral School.

The structure the course will be as follows:

PART 1

• DAY 1 – 5 hours –
Morning 10:15-13:15 - Afternoon 14:15-16:15
An overview on cognitive biases and affective states. Prof. Alice Mado Proverbio, Director of Laboratory of Cognitive Science at Università Milano Bicocca.
• DAY 2 – 5 hours –
Morning 10:15-13:15 - Afternoon 14:15-16:15
Semantics of cognitive biases and affective states: a linguistic approach. Prof. Cristina Mariotti, Università degli Studi di Pavia.
• DAY 3 – 2.5 hours –
Morning 10:15-12:45
Introduction to gender stereotypes. Prof. Cristina Rossi-Lamastra. Department of Management, Economics and Industrial Engineering, Politecnico di Milano.

PART 2

• DAY 1 – 2.5 hours –
Morning 10:15-12:45
Effects of gender stereotypes and biases in business contexts. Prof. Cristina Rossi-Lamastra. Department of Management, Economics and Industrial Engineering, Politecnico di Milano.

• DAY 2 – 2.5 hours –
Morning 10:15-12:15
Measuring cognitive biases and affective states. Prof. Silvia Strada, Department of Electronics, Informatics, and Bioengineering, Politecnico di Milano.

Morning 12:15-13:15- Afternoon 14:15-16:15    
Data-based assessment of cognitive biases and affective states through data analytics techniques. Prof. Mara Tanelli, Department of Electronics, Informatics, and Bioengineering, Politecnico di Milano.

• DAY 3 – 5 hours –
Morning 10:15-13:15 - Afternoon 14:15-16:15
Algorithms for affective computing. Prof. Marcello Restelli, Department of Electronics, Informatics, and Bioengineering, Politecnico di Milano.


Note Sulla Modalità di valutazione

The students will be asked to propose topics of interest for further investigation, either in the form of scientific literature analysis or in that of a practical small project. In both cases, the students can work alone or in pairs, and will be asked to give a final presentation of their work, open to the other course attendees.


Intervallo di svolgimento dell'attività didattica
Data inizio
Data termine

Calendario testuale dell'attività didattica

- First part of the course:

  .  LUN  11/2 h.10:15-13:15 and 14:15-16:15

  .  MAR 12/2 h.10:15-13:15 and 14:15-16:15

  .  MER  13/2 h.10:15-12:45

- Second part of the course:

  .  LUN 18/2 h.10:15-12:45

   . MAR 19/2 h.10:15-13:15 and 14:15-16:15

  .  MER 20/2 h.10:15-13:15 and 14:15-16:15


Bibliografia

Mix Forme Didattiche
Tipo Forma Didattica Ore didattiche
lezione
25.0
esercitazione
0.0
laboratorio informatico
0.0
laboratorio sperimentale
0.0
progetto
0.0
laboratorio di progetto
0.0

Informazioni in lingua inglese a supporto dell'internazionalizzazione
Insegnamento erogato in lingua Inglese
Disponibilità di materiale didattico/slides in lingua inglese
Possibilità di sostenere l'esame in lingua inglese

Note Docente
schedaincarico v. 1.6.5 / 1.6.5
Area Servizi ICT
19/01/2021