TY - JOUR
T1 - Digital Finance
T2 - Reaching New Frontiers
AU - Osterrieder, Joerg
AU - Hadji Misheva, Branka
AU - Machado, Marcos
N1 - Funding Information:
This research was financially supported by the European Union’s Horizon 2020 research and innovation programme under the grant agreement No. 825215 (A FINancial supervision and TECHnology compliance training programme project name [FINTECH]) as well as the COST Actions CA19130 Fintech and Artificial Intelligence in Finance and CA21163 Text functional and other high-dimensional data in econometrics: New models, methods, applications.
Funding Information:
Financial support by the Swiss National Science Foundation within the project Mathematics and Fintech - the next revolution in the digital transformation of the Finance industry (IZCNZ0-174853) is gratefully acknowledged. The authors are also grateful for financial support from the Swiss National Science Foundation under the grant IZSEZ0-211195 (Anomaly and Fraud Detection in Blockchain Networks). The first two authors acknowledge financial support from the Swiss National Science Foundation within the project Narrative Digital Finance: a tale of structural breaks, bubbles & market narratives (IZCOZ0-213370). The same authors also acknowledge funding from the European Union's Horizon 2020 research and innovation program FIN-TECH: A Financial supervision and Technology compliance training programme under the grant agreement No 825215 (Topic: ICT-35-2018, Type of action: CSA).
Funding Information:
The first and third author also gratefully acknowledge financial support from the ING Group - University of Twente cooperation on Finance and Artificial Intelligence in Finance for the promotion of Artificial Intelligence in Netherlands and Europe.
Funding Information:
Furthermore, this article is based upon work from the COST Action 19130 Fintech and Artificial Intelligence in Finance, supported by COST (European Cooperation in Science and Technology), www.cost.eu (Action Chair: Joerg Osterrieder). The authors are grateful to management committee members of the COST (Cooperation in Science and Technology) Action CA19130 as well as speakers and participants of the 11th FinanceCom Conference at the University of Twente in August 2022 and the 7th European COST Conference on Artificial Intelligence in Finance at Bern Business School.
Publisher Copyright:
Copyright: © 2023 Osterrieder J et al.
PY - 2023
Y1 - 2023
N2 - Digital Finance must become the center of academic research in finance if the European financial industry is to remain competitive in the future. We argue that the new interdisciplinary field of Digital Finance should be prioritized based on the strategic priorities of the European Union, the needs of the finance industry, and the academic research gaps. Digital Finance as an interdisciplinary field will contribute to the strategic priorities of the European Union, such as financing for growth and jobs, financial stability and supervision, financial education, financing for small and medium-sized enterprises, and combating exclusion and inequality in access to credit.
AB - Digital Finance must become the center of academic research in finance if the European financial industry is to remain competitive in the future. We argue that the new interdisciplinary field of Digital Finance should be prioritized based on the strategic priorities of the European Union, the needs of the finance industry, and the academic research gaps. Digital Finance as an interdisciplinary field will contribute to the strategic priorities of the European Union, such as financing for growth and jobs, financial stability and supervision, financial education, financing for small and medium-sized enterprises, and combating exclusion and inequality in access to credit.
KW - Artificial Intelligence (AI)
KW - Digital finance
KW - Finance
KW - Financial policies
KW - Machine Learning (ML)
UR - http://www.scopus.com/inward/record.url?scp=85153249555&partnerID=8YFLogxK
U2 - 10.12688/openreseurope.15386.1
DO - 10.12688/openreseurope.15386.1
M3 - Article
AN - SCOPUS:85153249555
SN - 2732-5121
VL - 3
JO - Open Research Europe
JF - Open Research Europe
M1 - 38
ER -
