University of Twente

Short Description

Project Coordinator MSCA Doctoral Network on Digital Finance University of Twente Homepage

Main Roles and Responsibilities

• Project Coordinator
• Work package lead Doctoral Training
• Work package lead Project Management
• Doctoral Training
• Individual Research Projects
  • Strengthening European financial service providers through applicable reinforcement learning
  • Modelling green credit scores for a network of retail and business clients
  • Industry standard for blockchain
  • A recommender system to re-orient investments towards more sustainable technologies

Committees

MSCA Committees

• Executive Board
• Supervisory Board
• Doctoral Candidates Committee
• Research and Training Committee
• Communication and Dissemination Board
• IP and Exploitation Team
• Project Coordinator Team

Work Packages

MSCA Work Packages

• WP1 Towards a European financial data space
• WP2 AI for financial markets
• WP3 Towards explainable and fair AI-generated decisions
• WP4 Driving digital innovation with Blockchain applications
• WP5 Sustainability of digital finance
• WP6 Doctoral Training
• WP7 Dissemination, Outreach and Exploitation
• WP8 Project Management

Individual Research Projects

MSCA Individual Research Projects

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