Descriptif
The Internet era has been marked by the appearance of gigantic ecosystem platforms: search engines, recommendation engines, marketplaces, social networks, collaborative consumption websites, etc. In just a few years, digital platforms have taken an undeniable importance in our daily lives; we have integrated them as a major component of the organization of our interactions through our uses. In doing so, platforms have disrupted the existing social and political paradigms.
The founding promises of the web, openness and collaboration, are gradually being transformed and privatized by hypertrophied Tech platforms. Their business model, based on collecting and processing big data on a large scale (data economy) is by nature oligopolistic, leading to the emergence of Tech gatekeepers (Big Tech, GAFAM) as powerful as States. The numerous side effects in terms of geopolitical reconfiguration, hybrid warfare (information warfare, cyberattacks, cognitive warfare, …), weakening of traditional states’ sovereignty, new forms of public spaces and democratic exercise through private organizations (social media), the necessity of rethinking global regulation and international governance, are raising more and more questions and debates in Europe and the United States.
In short, technology is inherently political, whether that’s the ethics of AI, the regulation of Big Tech, disinformation being spread or cyber becoming a new domain of warfare. Big Tech companies have taken on a major role in geopolitics as the US-China trade war simmers : Tech isn’t just a player in the domestic political process, it’s a geopolitical proxy for nation states as it has been demonstrated during the Ukrainian War.
The underlying geopolitical, political and democratic stakes are thus of a rare intensity: how to qualify these new forms of power? How are they redesigning geopolitical framework ? What are the political and democratic issues at stake and the controversies that are related to them ? What kind of governance can we imagine on a national and international scale? How can we think of economic and political models based on new technologies that are technologically and socially acceptable within the framework of fundamental rights and state of law in the western bloc ?
This course invites students to explore the business models of Big Tech platforms (big data, algorithms, network effects, etc.). We will then analyze the consequences of these new disruptive models and the new economic doctrine they presuppose (market distortion, emergence of monopolies, capture and monetization of personal data, urgent need for regulation, etc.). Then, we will review the political, regulatory and democratic stakes of these new models.
This course is designed as an “awareness toolkit”, an invitation to think together these major contemporary issues.
Diplôme(s) concerné(s)
- MScT-Data Science for Business
- MScT-Cybersecurity : Threats and Defenses
- MScT-Economics for Smart Cities and Climate Policy
- MScT-Environmental Engineering and Sustainability Management
- MScT-Internet of Things : Innovation and Management Program (IoT)
- MScT-Artificial Intelligence and Advanced Visual Computing
- MScT-Economics, Data Analytics and Corporate Finance
- MScT-Energy Environment : Science Technology & Management
- MScT-Double Degree Data and Finance (DDDF)
- MScT-Data and Economics for Public Policy (DEPP)
Parcours de rattachement
- MScT EDACF - Semestre 4
- MScT IOT - Semestre 4
- MScT EDACF - Semestre 2
- MScT EESM - Semestre 2
- MScT DSB - Semestre 1
- MScT CTD - Semestre 4
- MScT IOT - Semestre 2
- MScT AI-ViC - Semestre 2
- MScT AI-ViC - Semestre 3
- MScT STEEM - Semestre 2
- MScT STEEM - Semestre 4
- MScT ESCLiP - Semestre 2
- MScT EESM - Semestre 4
- MScT ESCLiP - Semestre 4
- MScT DEPP - Semestre 2
- MScT-DDDF-S1 - MScT DDDF - Semestre 2
Objectifs de développement durable
ODD 16 Paix, justice et institutions efficaces, ODD 12 Consommation et production responsables, ODD 11 Villes et communautés durables, ODD 10 Inégalités réduites, ODD 9 Industrie, Innovation et Infrastructure, ODD 8 Travail décent et croissance économique.Format des notes
Numérique sur 20Littérale/grade réduitPour les étudiants du diplôme MScT-Double Degree Data and Finance (DDDF)
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Data and Economics for Public Policy (DEPP)
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
Pour les étudiants du diplôme MScT-Economics for Smart Cities and Climate Policy
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Environmental Engineering and Sustainability Management
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Cybersecurity : Threats and Defenses
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Economics, Data Analytics and Corporate Finance
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Energy Environment : Science Technology & Management
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Artificial Intelligence and Advanced Visual Computing
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Internet of Things : Innovation and Management Program (IoT)
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS
La note obtenue rentre dans le calcul de votre GPA.
Pour les étudiants du diplôme MScT-Data Science for Business
Le rattrapage est autorisé (Note de rattrapage conservée)- Crédits ECTS acquis : 1.5 ECTS