OBUS 3095 - Deep Tech, social impact, entrepreneurial opportunities
For the past two years this elective has challenged a community of enthusiastic students to understand how Deep Tech work, what is their social and human impact, and how Sciences Po students can identify, imagine and create new business ventures. This course also tries to guide students distinguishing the current media, science-fiction hype, from business and societal reality. Areas covered this semester include:
1/ Deep tech ecosystems
2/ Big Data
3/ Blockchain & crypto currencies
4/ Artificlal intelligence & deep learning
5/ Quantum computing (NEW)
Through this short but intensive introduction to Deep Tech technologies, students will:
1/ Get an overview of those technologies. What are they? How do they work?
2/ Gain a critical understanding of their business, economic and social impact
3/ Learn about successful entrepreneurial initiatives.
4/ Practice a social impact driven method to identify entrepreneurial opportunities.
5/ Examine how they can be financed.
6/ Have an opportunity to test and practice their ideas through a condensed project.
Most importantly, we hope to increase students' appetite and self-confidence in launching their own venture, starting from the social angle.
Juan Manuel CEVA SEBASTIA
English, French
Students should be prepared to learn about a broad set of topics. Group work & preparation will be encouraged to promote faster, collective learning.
Level of English : B2. Reading material both French & English.
Open to students in Year 2 and Master.
Autumn and Spring 2024-2025
Pass or fail.
Student's presentation (1/3) - Student's participation (1/3) - Final project (1/3).
At each session: presentation by a student on one of the topics. Eventually, additional case study presentation. Open discussion. External field experts may be invited to participate to some of the sessions.
Hubert Krivine , Comprendre sans prévoir, prévoir sans comprendre, 2018