D 1.1: Network establishment
A large network of universities, regulators, supervisors and fintechs has been interconnected during the project, and is a strong basis for future developments.
D 2.1: Repository of consortium research papers in Big Data Analytics
11 papers have been selected among those published by the consortium partners in referred scientific journals, which are open access and acknowledge the project.
D 3.1: Repository of consortium research papers in Artificial Intelligence
12 papers have been selected among those published by the consortium partners in referred scientific journals, which are open access and acknowledge the project.
D 4.1: Repository of consortium research papers in Blockchain
17 papers have been selected among those published by the consortium partners in referred scientific journals, which are open access and acknowledge the project.
Other relevant papers will be continuously added to the ìpublication list, after the submission of the D 2.1 D 3.1 D 4.1 deliverables.
D 5.1: Repository of use cases and slides in big data analytics
Three full use cases have been selected for the application of big data analytics to credit risk management, have been presented in the project’s events, have been shared with the project's network and, finally, have been improved based on the received feedback. The use cases form a strong basis to develop risk management standards for peer to peer lending risk management.
D 5.2: Repository of use cases and slides in artificial intelligence
Three full use cases have been selected for the application of artificial intelligence to market (financial) risk management, have been presented in the project’s events, have been shared with the project's network and, finally, have been improved based on the received feedback. The use cases form a strong basis to develop risk management standards for robot advisory risk management.
D 5.3 Repository of use cases and slides in blockchain (D5.3)
Six full use cases have been selected for the application of artificial intelligence to market (financial) risk management, have been presented in the project’s events, have been shared with the project's network and, finally, have been improved based on the received feedback. The use cases form a strong basis to develop risk management standards for blockchain payment risk management.
D 6.1 Research and development environment
After an experimental activity aimed at building an appropriate environment, an open source repository of R codes has been produced for all 12 produced use cases. Each use case is thus fully reproducible, using the provided data, R code and descriptive paper.
D 7.2 Repository of events participation
A total of +6000 professionals, from universities, regulators, supervisors, fintechs and banks, have participated to at least one event of the project.
D 7.5 Repository of events feedback
A total of 1265 professionals, from universities, regulators, supervisors, fintechs and banks, have provided useful feedback to the project and particularly to its use cases, which have been improved.
D 7.8 Advisory board evaluation report
Further constructive feedback on the project and its use case, has been provided by the five members of the advisory board, chosen to represent non-European countries.
D 7.7 External evaluation report
An integrated overall evaluation report has been produced, for a final assessment of the project, and to decide which areas of research and training exploit and continue in the future. In summary, three main areas of development have emerged: a) network modeling to measure contagion risk deriving from fintech platforms; b) explainable AI models to make highly predictive machine learning models acceptable for regulators and supervisors; c) operational risk models to allow blockchain payments to emerge.
