Difference between revisions of "MSCA Network"
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The Fraunhofer Institute is expected to contribute data to the project, contribute their expertise in enabling efficient and sustainable transfer of scientific knowledge into commercial use, and exposing the ESRs to a world-leading applied research environment. | The Fraunhofer Institute is expected to contribute data to the project, contribute their expertise in enabling efficient and sustainable transfer of scientific knowledge into commercial use, and exposing the ESRs to a world-leading applied research environment. | ||
| − | === Course/workshops | + | === Course/workshops === |
Advanced course: Multi-Criteria Decision Making in Sustainable Finance (M30, 3 ECTS) | Advanced course: Multi-Criteria Decision Making in Sustainable Finance (M30, 3 ECTS) | ||
| − | === | + | === DC secondments === |
*[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Industry_standard_for_blockchain ESR 3: Industry standard for blockchain (M12 – M15)] | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Industry_standard_for_blockchain ESR 3: Industry standard for blockchain (M12 – M15)] | ||
*[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Collaborative_learning_across_data_silos ESR 6: Collaborative learning across data silos (M12 – M15)] | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Collaborative_learning_across_data_silos ESR 6: Collaborative learning across data silos (M12 – M15)] | ||
Revision as of 18:18, 26 October 2023
Universities
University of Twente
WU Vienna
HU Berlin
Bucharest University of Economic Studies
Babes-Bolyai University
Bern Business School
Kaunas University of Technology
University of Naples
Industrial Partners
Deloitte
Swedbank
Intesa Sanpaolo
Raiffeisen Bank
Cardo AI
Royalton Partners
International Research Centres
ARC Greece
EIT Digital
Fraunhofer Institute
The Fraunhofer Institute is expected to contribute data to the project, contribute their expertise in enabling efficient and sustainable transfer of scientific knowledge into commercial use, and exposing the ESRs to a world-leading applied research environment.
Course/workshops
Advanced course: Multi-Criteria Decision Making in Sustainable Finance (M30, 3 ECTS)
DC secondments
- ESR 3: Industry standard for blockchain (M12 – M15)
- ESR 6: Collaborative learning across data silos (M12 – M15)
- ESR 7: Risk index for cryptos (M27 – M30)
- ESR 9: Audience-dependent explanations (M27 – M30)
- ESR 15: Deep Generation of Financial Time Series (M18 – M21)
- ESR 16: Investigating the utility of classical XAI methods in financial time series (M18 – M21)
- ESR 17: Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns (M18 – M21)