Difference between revisions of "University of Twente"

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(Created page with "= University of Twente = Project Coordinator MSCA Doctoral Network on Digital Finance [https://www.utwente.nl/ University of Twente Homepage] = Individual Research Projects =...")
 
 
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= University of Twente =
+
== Short Description ==
 
Project Coordinator MSCA Doctoral Network on Digital Finance
 
Project Coordinator MSCA Doctoral Network on Digital Finance
 
[https://www.utwente.nl/ University of Twente Homepage]
 
[https://www.utwente.nl/ University of Twente Homepage]
  
−
= Individual Research Projects =
+
== Main Roles and Responsibilities ==
−
== Strengthening European financial service providers through applicable reinforcement learning ==
+
* Project Coordinator
−
== Modelling green credit scores for a network of retail and business clients == 
+
* Work package lead Doctoral Training
−
== Industry standard for blockchain ==
+
* Work package lead Project Management
−
== A recommender system to re-orient investments towards more sustainable technologies ==
+
* Doctoral Training
−
== Fraud detection in financial networks ==
+
** Introduction to Digital Finance, 1 ECTS
−
== Collaborative learning across data silos ==
+
** Blockchains in Digital Finance, 1 ECTS
−
== Risk index for cryptos ==
+
** Ethical AI in Finance, 1 ECTS
−
== Detecting anomalies and dependence structures in high dimensional, high frequency financial data ==
+
** Reinforcement Learning in Digital Finance, 4 ECTS, then annually in EU
−
== Audience-dependent explanations ==
+
** Cybersecurity in Digital Finance, 3 ECTS, then annually  in EU
−
== Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy ==
+
** December 2026: Labor Market Skills, 2 ECTS
−
== Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period ==
+
* Dissemination, Outreach and Exploitation
−
== Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms ==
+
** December 2024, then annually: Open-lab day
−
== Predicting financial trends using text mining and NLP ==
+
** Contribute to an Open Science Festival (e.g. Open Science Festival in Amsterdam)
−
== Challenges and opportunities for the uptaking of technological development by industry ==
+
** Two annual academic seminars
−
== Deep Generation of Financial Time Series ==
+
** Twice annually: Engagement with Policymakers, public authorities, EU citizens, and the general public
−
== Investigating the utility of classical XAI methods in financial time series ==
+
** One informative video for EU citizens and the general public
−
== Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns ==
+
** Twice annually, per ESR: General/ public outreach.
 +
** ESRs present results to policy makers/ regulators, annually
 +
** Collaborate in academic networks
 +
* 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
 +
* [[MSCA Secondments]]
 +
 
 +
= 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 =
 
= Work Packages =
−
== WP1 Towards a European financial data space =
+
[[MSCA Work Packages]]
−
== WP2 AI for financial markets ==
+
* WP1 Towards a European financial data space
−
== WP3 Towards explainable and fair AI-generated decisions ==
+
* WP2 AI for financial markets  
−
== WP4 Driving digital innovation with Blockchain applications ==
+
* WP3 Towards explainable and fair AI-generated decisions  
−
== WP5 Sustainability of digital finance ==
+
* WP4 Driving digital innovation with Blockchain applications  
−
== WP6 Doctoral Training ==
+
* WP5 Sustainability of digital finance  
 +
* WP6 Doctoral Training  
 +
* WP7 Dissemination, Outreach and Exploitation
 +
* WP8 Project Management
  
 +
= Deliverables =
 +
[[MSCA Deliverables]]
  
−
== WP7 Dissemination, Outreach and Exploitation ==
+
= Milestones =
−
== WP8 Project Management ==
+
[[MSCA Milestones]]
  
−
= Deliverables =  
+
= Individual Research Projects =  
−
= Milestones =
+
[[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 =
 
= Contacts =

Latest revision as of 10:05, 3 September 2023

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
    • Introduction to Digital Finance, 1 ECTS
    • Blockchains in Digital Finance, 1 ECTS
    • Ethical AI in Finance, 1 ECTS
    • Reinforcement Learning in Digital Finance, 4 ECTS, then annually in EU
    • Cybersecurity in Digital Finance, 3 ECTS, then annually in EU
    • December 2026: Labor Market Skills, 2 ECTS
  • Dissemination, Outreach and Exploitation
    • December 2024, then annually: Open-lab day
    • Contribute to an Open Science Festival (e.g. Open Science Festival in Amsterdam)
    • Two annual academic seminars
    • Twice annually: Engagement with Policymakers, public authorities, EU citizens, and the general public
    • One informative video for EU citizens and the general public
    • Twice annually, per ESR: General/ public outreach.
    • ESRs present results to policy makers/ regulators, annually
    • Collaborate in academic networks
  • 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
  • MSCA Secondments

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

MSCA Deliverables

Milestones

MSCA 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

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