Difference between revisions of "University of Twente"

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

Revision as of 09:19, 3 September 2023

University of Twente

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

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

Deliverables

Milestones

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

Contacts