Class Privacy, Security and Ethics for Data Science

This curricular unit aims to provide knowledge and skills in the fields of cybersecurity and privacy, as well as to promote critical analysis and impact assessment for the use of advanced technologies and big data.

1. Cyberspace and Cyberspaces (CP1)
   1. Genesis, onthology and teleology.
   2. Technical, social and cultural space.
   3. Data and cyberspace Geopolitics.
2. Cybersecurity and Threat landscape (CP2)
   1. Risks and conflicts
   2. Hackers and other digial world outlaws
   3. Hacktivism, Organised Cybercrime, Cyberespionage, Cyberwar
3. Counter-Cyberconflicts (CP3)
   1. Resilience and simple protection
   2. Tackle cybecrime
   3. Cyberdiplomacy
   4. Cyberwar
   5. Intelligence
4. Privacy and data protection (CP4)
   1. Internet of things
   2. Social Networks
   3. Werables
5. Protection of cybespace (CP5)
   1. Best practices
   2. Norms
   3. Regulation
6. Cybercrime legal framework (CP6)
   1. Cybercrime law
   2. Budapest Convention
7. Future tecnologies (CP7)
   1. 5G networks
   2. Artificial Inteligence
   3. Crypto Assets
   4. Blockchain

The teaching methodologies employed in this curricular unit are:
ME1: Expositional
ME2: Case Study

• Morozov, Evgeny. (2011). The Net Delusion: How Not to Liberate the World. 
• Shirky, Clay.  (2008).  Here comes everybody : the power of organizing without organizations.  New York :  Penguin Press
• Zuboff, S. (2019). The age of surveillance capitalism. Profile Books.
• O’Neil, C. (2017). Weapons of math destruction. Penguin Books.
• Verbeek, Peter-Paul. (2011). Moralizing Technology: Understanding and Designing the Morality of Things. 
• CNCS (2021). Relatório Sociedade. Disponível em https://www.cncs.gov.pt/docs/relatorio-sociedade2021-observ-cncs.pdf
• CNCS (2021). Relatório Riscos e Conflitos. Disponível em https://www.cncs.gov.pt/docs/relatorio-riscosconflitos2021-observatoriociberseguranca-cncs.pdf