Difference between revisions of "University of Twente"
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| − | = | + | == 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] | ||
| − | = Main Roles and Responsibilities = | + | == 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 = | = Committees = | ||
[[MSCA Committees]] | [[MSCA Committees]] | ||
| Line 18: | Line 39: | ||
* Communication and Dissemination Board | * Communication and Dissemination Board | ||
* IP and Exploitation Team | * IP and Exploitation Team | ||
| − | * Project Coordinator Team | + | * Project Coordinator Team |
= Work Packages = | = Work Packages = | ||
[[MSCA 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 = | = Individual Research Projects = | ||
[[MSCA 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 = | = 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
- Executive Board
- Supervisory Board
- Doctoral Candidates Committee
- Research and Training Committee
- Communication and Dissemination Board
- IP and Exploitation Team
- Project Coordinator Team
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