Marie Skłodowska-Curie Actions Digital Finance

Research Topics

    • Collaborative learning across data silos
    • Detecting anomalies and dependence structures in high dimensional, high frequency financial data
    • Predicting financial trends using text mining and NLP
    • Deep Generation of Financial Time Series
    • Strengthening European financial service providers through applicable reinforcement learning
    • Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms
    • Challenges and opportunities for the uptaking of technological development by industry
    • Investigating the utility of classical XAI methods in financial time series
    • Audience-dependent explanations
    • Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns
    • Industry standard for blockchain
    • Fraud detection in financial networks
    • Risk index for cryptos  
    • Modelling green credit scores for a network of retail and business clients
    • A recommender system to re-orient investments towards more sustainable technologies and businesses
    • Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy
    • Applications of Agent-based Models (ABM) to analyze finance growth in a sustainable manner over a long-term period

Training and Events