Difference between revisions of "MSCA Network"
Jump to navigation
Jump to search
| Line 25: | Line 25: | ||
=== ESR host: === | === ESR host: === | ||
| − | * | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Industry_standard_for_blockchain ESR 3]: Industry standard for blockchain (M12 – M15) |
| − | *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) |
| − | *ESR 7: Risk index for cryptos (M27 – M30) | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Risk_index_for_cryptos ESR 7]: Risk index for cryptos (M27 – M30) |
| − | *ESR 9: Audience-dependent explanations (M27 – M30) | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Audience-dependent_explanations ESR 9]: Audience-dependent explanations (M27 – M30) |
| − | *ESR 15: Deep Generation of Financial Time Series (M18 – M21) | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Deep_Generation_of_Financial_Time_Series 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) | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Investigating_the_utility_of_classical_XAI_methods_in_financial_time_series 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) | + | *[https://wiki.fin-ai.eu/index.php/MSCA_Individual_Research_Projects#Fair_Algorithmic_Design_and_Portfolio_Optimization_under_Sustainability_Concerns ESR 17]: Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns (M18 – M21) |
= European Central Bank = | = European Central Bank = | ||
Revision as of 15:25, 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 host
Advanced course: Multi-Criteria Decision Making in Sustainable Finance (M30, 3 ECTS)
ESR host:
- 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)