Story of the efl and its members
The Data Science Institute is an industry-academic partnership between Frankfurt and Darmstadt Universities and partners Deutsche Börse Group, DZ Bank Gruppe, American Express, Deutsche Bundesbank, and Finanz Informatik located at Goethe University Frankfurt.
The Data Science Institute was formed from the E-Finance Lab that was founded twenty years ago to develop scientific yet managerial methods for rearranging the business process of the financial service industry. On the basis of this successful project, the Data Science Institute was newly-created to help other industries beyond the finance sector for which data analysis is also important.
The Data Science Institute research is supervised by five professors: Prof. Dr. Carsten Binning who is part of the Department of Computer Science at the TU Darmstadt. Prof. Dr. Peter Gomber holds the Chair e-Finance (Department of Information Systems) at the Faculty of Economics and Business Administration, Goethe University Frankfurt. Prof. Dr. Andreas Hackethal leads a Chair at the House of Finance for Personal Finance. Prof. Dr. Oliver Hinz is Professor of Information Systems and Information Management at Goethe University Frankfurt. Prof. Dr. Bernd Skiera holds the Chair of Electronic Commerce at the Faculty of Economics and Business Administration, Goethe University Frankfurt.
Areas of action
The Data Science Institute provides advanced training for students of the participating universities and staff of the sponsors. The institute offers introductory courses in Data Science and the programming language Python for students. The courses are rewarded with a certificate. More information is provided in the teaching section. Another focus is the outstanding research. The institute is committed to conducting high-quality research with focus on new technologies and connected topics. For further information on upcoming events click here.
Research areas of the efl
The Data Science Institute focuses on five topics concerning Research. In the financial service sector technological innovations and regulatory changes require the insight on the interplay of financial innovation and the structure of financial markets. Another topic is the application of data-driven-marketing and in particular questions related to electronic commerce, online-marketing, marketing analytics, financial innovation and customer management. In the health sector the Data Science Institute focuses on human-machine interaction and collaboration, interactive machine learning and quantified self. Data Science for Law focuses on the automation of case classification as well as automated intelligent law assistants. The last section deals with general, cross-sectional research. Topics include for example AI, Digital Transformation, Decision Support Systems and the Internet of Things.
Scientific Advisory Board
Progress Reports
Select any of the below links to access the respective reporting file.
Please note that the files are password-proteced. The password is available upon request.
2023
- Progress Report (Leistungsbilanz)
- Project Report (Projektbilanz)
2022
- Progress Report (Leistungsbilanz)
- Project Report (Projektbilanz)
2021
- Progress Report (Leistungsbilanz)
- Project Report (Projektbilanz)
2020
- Progress Report (Leistungsbilanz)
- Project Report (Projektbilanz)
2019
- Progress Report (Leistungsbilanz)
- Collection of Selected Papers (Ergebnisband)
Sponsors
