The DIGITAL FINANCE Pathway to Industry and Academia
​
Charting the Future of Finance
Quick Tour
Welcome to the MSCA Industrial Doctoral Network on Digital Finance! Have a quick tour of our project!
What is MSCA Digital Finance?
We are an Industrial Doctoral Network established within the Marie Sklodowska-Curie Actions which aims at training highly skilled doctoral candidates in Digital Finance.
What is a MSCA Doctoral Network?
DIGITAL will specifically train young researchers in R&D topics that cover the multiple disciplines required in the rapidly evolving field of Digital Finance substantially going beyond the traditional Finance PhD education in a wide range of inter-sectoral applications: data quality, Artificial Intelligence (AI) and Machine Learning (ML), Explainability of AI (XAI), Blockchain applications and Sustainable Finance.
​
Start: 01 January 2024
​
End: 31 December 2027
​
Budget: EUR 4,473,972
​​
Key people
Principal Investigator and coordinator: Joerg R. Osterrieder
Prof. Osterrieder is an Associate Professor of Finance and AI at the University of Twente, Professor of Sustainable Finance at Bern Business School, and Advisor on AI to ING Group, with over 15 years of experience in financial statistics, quantitative finance, and the digitization of finance. He leads numerous research initiatives, including the European COST Action 19130 Fintech and AI in Finance, and coordinates the Marie Sklodowska-Curie Action Industrial Doctoral Network on Digital Finance, bridging academia and industry.​
​
Project co-chair: Branka Hadji Misheva​
​Prof. Dr. Branka Hadji Misheva is a Professor of Applied Data Science and Finance at BFH, specializing in AI applications in finance, XAI methods, network models, and fintech risk management. She leads/co-leads multiple significant research projects, including two large EU-funded initiatives on fintech compliance and AI in finance, and has contributed to over 20 projects, publishing extensively on credit risk modeling, graph theory, and explainable AI.
​
Objective: MSCA Digital Finance aims to integrate advanced research and training in the field of digital finance. The primary goal is to foster the development of next-generation researchers and professionals who can contribute significantly to the digital finance sector. This initiative is designed to bridge the gap between academia and industry, ensuring that PhD candidates are well-equipped with both theoretical knowledge and practical skills relevant to the rapidly evolving digital finance landscape.
​
Funding and Support: The program receives substantial funding from the European Horizon framework, underscoring the EU's commitment to advancing research and innovation in digital finance. This financial support is instrumental in facilitating collaborative research, offering scholarships, and providing state-of-the-art resources and opportunities for participants.
Collaborative Network: The MSCA Digital Finance brings together a diverse network of academic institutions, research centers, and industry partners across Europe. This collaboration ensures a multidisciplinary approach and allows for a wide array of research topics within digital finance.
​
Impact and Benefits: The program is designed to produce a significant impact on both the academic and industrial sectors in digital finance. Graduates of MSCA Digital Finance are expected to emerge as leaders and innovators, driving forward the digital transformation in the financial industry, enhancing the competitiveness of the European digital finance sector on a global scale.
Who Are We?
DIGITAL brings together a consortium of leading European universities, major international corporations with significant R&D presence, innovative SMEs, renowned research centers, and governmental agencies. Our goal is to foster collaboration and innovation among its diverse members, aiming to advance knowledge, technology and solutions.
Research Topics & Individual Research Project
Currently, Digital Finance lacks recognition as an independent research field, despite numerous research voids, alignment with the EU's core strategic goals, and pressing industry demands. DIGITAL aims to address this gap and notably enhance Digital Finance methodologies and business models by pursuing five interconnected and cohesive research objectives.
-
Towards a European Financial Data Space (WP1)IRP6 - Collaborative learning across data silos IRP8 - Detecting anomalies and dependence structures in high dimensional, high frequency financial data IRP13 - Predicting financial trends using text mining and NLP IRP15 - Deep Generation of Financial Time Series Work Package 1 Page
-
Artificial Intelligence for Financial Markets (WP2)IRP12 - Developing industry-ready automated trading systems to conduct EcoFin analysis using deep learning algorithms IRP14 - Challenges and opportunities for the uptaking of technological development by industry Work Package 2 Page
-
Towards explainable and fair AI-generated decisions (WP3)IRP1 - Strengthening European financial service providers through applicable reinforcement learning IRP9 - Audience-dependent explanations IRP16 - Investigating the utility of classical XAI methods in financial time series IRP17 - Fair Algorithmic Design and Portfolio Optimization under Sustainability Concerns Work Package 3 Page
-
Driving digital innovations with Blockchain applications (WP4)IRP3 - Machine learning for digital finance IRP5 - Fraud detection in financial networks IRP7 - Risk index for cryptos Work Package 4 Page
-
Sustainability of Digital Finance (WP5)IRP2 - Modelling green credit scores for a network of retail and business clients IRP4 - A recommender system to re-orient investments towards more sustainable technologies and businesses IRP10 - Experimenting with Green AI to reduce processing time and contributes to creating a low-carbon economy IRP11 - Applications of Agent-based Models (ABM) to analyse finance growth in a sustainable manner over a long-term period Work Package 5 Page
DIGITAL will hire a total of 17 doctoral candidates, each will tackle one specific research project from the outlined research topics.
​
Training
Doctoral candidates will receive extensive training under four distinct pillars.
1
Training through Research and Mandatory Scientific Training.
This includes original research within individual research projects, and each researcher being required to complete five foundational courses.
2
Advanced Scientific Training.
Researchers will select at least three elective advanced courses, relevant to their experience, individual research projects and career plans.
3
Transferable Skills Training.
A tailored program focusing on transferable skills, primarily carried out through joint industry-academia courses
4
Training through Secondments.
Each researcher will spend 18 months at leading institutions and in the industry to gain practical experience
Secondments
The DIGITAL program offers unique and enriching secondment opportunities for all doctoral candidates, ensuring a well-rounded academic and applied experience.
​
Each candidate will dedicate 18 months to the non-academic sector, engaging themselves in a hands-on, real-world environment. This direct involvement in industry will help them bridge the gap between industry and academia.
Each candidate will also spend 4 months at a research centre and/or a government agency. This part of the program aims to give participants firsthand experience with the latest research and policy-making processes.