Difference between revisions of "University of Twente"

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

Revision as of 09:43, 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