Deliverables
All 15 planned deliverables successfully completed during the Action
Timeline Overview
All Deliverables
Strategy to engage stakeholders
Comprehensive stakeholder engagement strategy with revisions at months 24 and 36. Identified key industry partners, regulators, and academic institutions for collaboration.
Report on best practices for transparent finance
Report with 12 guidelines on good examples and best practices for transparency in financial services and fintech applications.
Database with pre-ICO documentation
Database linking pre-ICO documentation (whitepapers, team information) to post-ICO performance metrics for research analysis.
Database with crowdfunding/P2P platform features
Comprehensive database for fraud prediction in crowdfunding and P2P lending platforms, including platform characteristics and failure indicators.
Discussion paper on back-testing framework
Statistically valid back-testing framework for investment strategies, addressing common pitfalls and establishing rigorous methodological standards.
Internal database of financial time series
Curated data from cryptocurrency exchanges and financial markets for collaborative research purposes within the Action.
Discussion papers on ICO/crowdfunding methodology
Methodology for evaluating ICOs and crowdfunding platforms, including risk assessment frameworks and success prediction models.
Position papers for regulators on AI testing
Methodology with formal criteria for testing AI techniques in real-time financial applications, aimed at informing regulatory frameworks.
Handbook on risk management
Wiki/handbook on risk management for blockchain applications and P2P lending, covering operational, market, and credit risks.
Position paper on digital asset risks
Roadmap on mitigating risks with digital assets, including cryptocurrencies, NFTs, and tokenized securities.
Methodology on stress tests for AI/ML
Discussion paper on stress testing AI/ML models in financial applications, ensuring robustness under adverse market conditions.
AI models for failed trials analysis
Discussion papers on AI models for network data analysis, with applications to understanding failure patterns in financial networks.
Four annual reports for lay audience
Annual reports disseminated via media channels, making research accessible to non-specialist audiences and policymakers.
Key software/codes/packages
Open source software contributions from all three working groups, available for the research community.
Edited volume on scientific achievements
Comprehensive edited volume documenting Action achievements, including key research findings and collaborative outcomes.