Centrality metrics and spectral properties of graphs.
Bipartite and multilayer networks.
Applications: World Trade Web
Lecture 1: Centrality metrics
Lecture 2: Spectral properties
Lecture 3: Ranking and reputation on graphs
Lecture 4: Community detection in networks I
Lecture 5: Community detection in networks II
Lecture 6: Bipartite networks
Lecture 7: Multilayer networks
Lecture 8: World Trade Web 2
Lecture 9: Infrastructural networks I
Lecture 10: Infrastructural networks II
Early brain functional studies, based on MRI, PET or EEG, focused on univariate analyses, in which the activity of each region is processed independently from each other. Nowadays, multivariate machine learning techniques have been developed to model complex, sparse neuronal populations. This course will provide an introduction to new methods and cutting-edge machine-learning techniques in the neuroimaging field by exploring multivariate statistical modeling of brain-activity data and computational modeling of brain information processing.
1. Market and strategy
2. Business and behavioral strategy
3. A new dimension for space and time in organization and strategy
4. Optimization and decision modeling on strategic decision making
5. Skills, competence and a new role of the human being
6. Business behavior as managerial evidence
7. Business plan: the role and function
8. Big data & decision-making process
9. Big data, machine learning for Management science
10. A multidisciplinary approach to business behavior
a. The age of scientific fraud
b. FFP (Fabrication, Falsification, Plagiarism)
c. Error, misconduct, fraud
2. Great scientists, successful cheaters
a. Is scientific fraud a new phenomenon?
b. Accused: famous scientists were fraudsters?
c. Present vs past
3. Fraudulent images
a. Scientific images as data
b. Introduction to fraudulent image manipulation
c. Image manipulation detection
d. Large scale analysis of image manipulation
This is an introduction to the basic concepts and problems in the analysis of scientific reasoning and inquiry. The course will focus on some central patterns of reasoning and argumentation which in science and critically discuss their features and limitations. Topics covered include the nature of theory and evidence, the logic of theory testing, and the debate about the aims of science and the trustworthiness of scientific results.
The analysis of moral reasoning and surrounding topics – how do we form moral judgments? how do they influence behavior? how do we assess virtuous versus malicious actions? – is a classical problem of moral philosophy (ethics) since antiquity. More recently, moral psychologists started tackling those problems using a descriptive, empirically based approach. Still more recently, people started investigating the impact of results in neuroscience for the foundations of moral reasoning.
Methods and approach to problem solving. Problem analysis; analysis of complex systems (related to cultural heritage, such as a city of art organization, promotion, etc.). The course will include practical simulations. The course will be linked to a seminar on specific case studies.
This course will provide an introduction to general themes in Cognitive and Social Psychology. In the first part of the course, we will review seminal findings that had a major impact on our knowledge of cognitive processes and social interactions, as well as more recent studies that took advantage of neuroimaging, electrophysiology and brain stimulation methods to shed new light on decision-making and social behaviors.
The long seminar aims at providing an overview on the management of intellectual property rights (copyright transfer agreements, open access, patents, etc.). Funding opportunities for PhD students, post-docs, and researchers are also presented (scholarships by the Alexander von Humboldt Foundation; initiatives by the Deutscher Akademischer Austausch Dienst; scholarships offered by the Royal Society in UK; bilateral Italy-France exchange programmes; Fulbright scholarships; Marie Curie actions; grants for researchers provided by the European Research Council).