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AI in Finance
AI in Finance
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The Digital Finance Research Programme

I firmly believe in the transformative power of AI to revolutionize the financial industry. By fostering collaboration between academia and industry, we can unlock unprecedented opportunities for innovation, transparency, and efficiency. Our commitment to ethical AI practices ensures that these advancements benefit all stakeholders and contribute to a more inclusive and fair financial landscape

Research Programme

The University of Twente - ING collaboration on Artificial Intelligence is part of a larger pan-European research programme on Digital Finance, where the University plays a leading role: In total, more than 360 researchers, 50 universities and 25 companies work together in various European research programmes.

  • UT - ING collaboration on Articial Intelligence - since 2021 (Lead: prof. dr. Jos van Hillegersberg)
  • MSCA Industrial Doctoral Network on Digital Finance (Coordinator: University of Twente (Joerg Osterrieder))
  • European COST Action on Fintech and Artificial Intelligence in Finance (Action Chair: Joerg Osterrieder)
  • Funding Agencies
    • Horizon Europe
    • COST Assocation
    • Marie Sklodowska-Curie Actions
    • Swiss National Science Foundation
    • Swiss State Secretariat for Research
    • ING
  • Research Grants
    • Action Chair COST FinAI
    • Scientific Grant Holder COST FinAI
    • Coordinator MSCA Doctoral Network on Digital Finance
    • SNF Narrative Digital Finance
    • SNF Network-based credit risk models
    • SNF Blockchain Fraud Detection
    • SERI Digital Finance
    • ING – UT Cooperation
  • Research - Digital Finance
    • 30 Individual Research Projects
    • 25 Doctoral Candidates across Europe, of which 12+ affiliated with UT
    • PI or Co-PI of seven research projects
    • 100% of research topics linked to UT
    • A European PhD Programme
  • Research Projects
    • 30 Individual Research Projects
    • 25 Doctoral Candidates across Europe, of which 12+ affiliated with UT
    • PI or Co-PI of seven research projects
    • 100% of research topics linked to UT
    • A European PhD Programme
  • A European Cooperation
    • 51 Countries
    • 300+ Researchers
    • 100+ Institutes
    • The University of Twente
    • Faculty of Behavioural, Management and Social sciences

MSCA Digital Finance

  • Principles: European Research Network
  • Network: European Universities, International Corporation, European Research Centers, and Intergovernmental Agencies
  • Research: Advancing Digital Finance Research and Bridging the Gap between Industry and Academia

Research

  • Towards a European Financial Data Space
    • 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
  • Artificial Intelligence for Financial Markets
    • 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
  • Towards Explainable and Fair AI-generated decisions
    • Audience-dependent explanations
    • Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns
  • Driving Digital Innovation with Blockchain Applications
    • Industry standard for blockchain
    • Fraud detection in financial networks
    • Risk index for cryptos  
  • Sustainability of Digital Finance
    • 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

Doctoral Training

  • Towards a European Financial Data Space
    • Foundations of data science
    • Synthetic Data Generation for Finance
    • Anomaly Detection in Big Data
    • Natural Language Processing with Transformers
    • Dependence Structures in High Frequency Financial Data
  • Artificial Intelligence for Financial Markets
    • Introduction to AI for financial applications
    • Reinforcement Learning in Digital Finance
    • Machine Learning in Industry
    • Deep Learning for Finance
    • Data-Centric AI
  • Towards Explainable and Fair AI-generated decisions
    • The need for eXplainable AI: methods and applications in finance
    • Cybersecurity in Digital Finance
    • AI Design in Digital Finance
    • Barriers in Digital Finance Adoption
    • Explainable AI in Finance
  • Driving Digital Innovation with Blockchain Applications
    • Introduction to Blockchain applications in finance
    • Digital Finance Regulation
    • History and Prospects of Digital Finance
    • Blockchains in Digital Finance
  • Sustainability of Digital Finance
    • Sustainable finance
    • Digital EIT Summer School - Disrupting Finance with Digital Technologies
    • Green Digital Finance
    • Multi-Criteria Decision Making in Sustainable Finance

European COST Action on Fintech and AI in Finance

  • Principles: European Research Network with a Global Reach
  • Network: European COST Countries and International Partners
  • Research: Inclusive, Interdisplinairy, Advancing Science and Technology

Research

  • Research Output with an Impact (more than 6000 citations and over 100 publications anually)
  • Dissemination across Europe (more than 15 research events and over 1000 participants per year)
  • Interdisciplinary Cooperations with Diverse Stakeholders (40 European countries and more than 300 researchers from 51 countries globally)
  • Fintech and AI in Finance (more than 40 research funding applications)
  • Towards a Transparent Financial Industry

ING - UT

Research

  • The Foundations - Data
    • The use of "meta labeling" technique
    • Federated Learning
    • Privacy-enhancing techniques for storing and analysing confidential data
    • Applications of synthetic data generation for Finance
  • The main applicaiton - Risk Management
    • Early warning systems for credit risk
    • Machine learning for credit scoring
    • Research on risk management related topics
  • Advanced Tools - Artificial Intelligence
    • Explainable Artificial Intelligence
    • Applications of Reinforcement learning
  • Business Models
    • The value of innovation projects in Finance
    • Networks of the client base
  • The Applications and Outlook
    • Statistics of applying models
    • Large Language Models for information retrieval from documents
    • The detection of payment patterns

Activities

  • MSc Thesis Supervision
  • Invited Industry Guest Lectures
  • Academia - Industry Workshops
  • PhD Internship Oppurtunities
  • Impact-driven industry research

SNSF

Research

  • SNF P2P Credit Risk Models. Network-based credit risk models in P2P lending markets
  • SNF Narrative Digital Finance Narrative. Narrative Digital Finance: a tale of structural breaks, bubbles & market narratives
  • SNF Blockchain Fraud Detection. Anomaly and fraud detection in blockchain networks
  • SNF - NSF Explainable AI. Solving the challenges of deploying domain-driven eXplainable AI: Applications in finance
  • SERI - Digital Finance. Digital Finance - Reaching New Frontiers

Our Research Team

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