The efl warmly welcomes you to its Annual Conference 2023 on "Opportunities and Challenges of Generative AI". Dive deep into enlightening sessions with leading researchers and seasoned practitioners as they elucidate on the multifaceted implications of Generative AI. Explore its transformative potential in Finance, Marketing, and Education, and delve into critical challenges it presents, including privacy concerns and market concentration. Additionally, gain a unique perspective from the Deutsche Bundesbank on the subject.
Students can have exclusive one-on-one meetings with leading companies such as Deutsche Börse, Union Investment, or Finanzinformatik (Sparkasse). If you are interested, please use the link to sign up for a meeting slot until October 31, 2023.
Date & Venue: November 15, 2023, at the illustrious Casino Building, Goethe University Frankfurt.
The 2023 Annual Conference has been meticulously crafted under the guidance of Prof. Bernd Skiera, and the collective efforts of his dedicated team: Nils Breitmar, Yuxi Jin, Lukas Jürgensmeier, Thilo Kraft, Karlo Lukic, and Timo Müller-Tribbensee. We eagerly await your participation.
12:00 PRE-CONFERENCE WORKSHOP ON GENERATIVE AI
14:00 REGISTRATION & COFFEE
14:30 WELCOME & INTRODUCTION TO GENERATIVE AI
Prof. Dr. Bernd Skiera, efl – The Data Science Institute, Goethe University Frankfurt
14:45 WELCOME & FUTURE PLANS OF DEUTSCHE BUNDESBANK WITH GENERATIVE AI
Prof. Stefan Bender, Head of Research Data and Service Center, Deutsche Bundesbank
14:55 AI IN FINANCE: OPPORTUNITIES AND CHALLENGES (IN GERMAN)
Dr. Andreas Totok, Finanz Informatik Solutions Plus
15:25 HARNESSING THE POWER OF LANGUAGE MODELS IN HIGHER EDUCATION: TEACHING, RESEARCH, AND ADMINISTRATION
Prof. Dr. Frauke Kreuter, LMU Munich, University of Maryland
15:55 REFRESHMENT BREAK
16:25 CREATING SYNTHETIC EXPERTS WITH GENERATIVE AI
Prof. Dr. Daniel Ringel, University of North Carolina at Chapel Hill
16:55 PRIVACY IN GENERATIVE AI: A MYTH OR JUST HARD?
Prof. Dr. Ivan Habernal, Paderborn University, TU Darmstadt
17:25 REFRESHMENT BREAK
17:55 CHALLENGES OF GENERATIVE AI WHEN DEALING WITH BIG TECH
Prof. Dr. Thomas Höppner, Competition Lawyer and Partner, Hausfeld
18:25 HARNESSING AI TO RESHAPE THE SUSTAINABILITY DATA LANDSCAPE
Prof. Dr. Gabriela Alves Werb, Deutsche Bundesbank, Frankfurt University of Applied Sciences
18:40 GENERATIVE AI ACTIVITIES OF THE EFL – THE DATA SCIENCE INSTITUTE
Prof. Dr. Oliver Hinz, efl – The Data Science Institute, Goethe University Frankfurt
19:00 GET TOGETHER
All times in CET.
Bernd Skiera is a full professor of electronic commerce at Goethe University Frankfurt (Germany) and a member of the board of the efl – The Data Science Institute board. His research interests include electronic commerce, online marketing, marketing analytics, machine learning and the economic impact of more online consumer privacy. With a background in software development at SAP and as the co-founder of Marini Systems, Professor Skiera is a seasoned professional at the intersection of information systems and marketing. He has contributed significantly to research and mentoring the next generation of scholars.
Further details about Bernd Skiera: https://www.marketing.uni-frankfurt.de/en/professoren/skiera/prof-dr-bernd-skiera.html
Google Scholar Profile: http://scholar.google.co/citations?user=nNCLgiIAAAAJ&hl
Stefan Bender is Head of the Data and Service Center of the Deutsche Bundesbank and – since 2018 - Honorary Professor at the School of Social Sciences, University Mannheim. With his position at Deutsche Bundesbank he is chair of INEXDA (the Granular Data Network) and a member of the German Data Forum (https://www.konsortswd.de/en/). Before joining the Deutsche Bundesbank, Stefan was head of the Research Data Center (RDC) of the Federal Employment Agency at the Institute for Employment Research (IAB), where he has internationally established a research data center including access to IAB data in the US (for example Berkeley, Harvard). His research interests are data access, data quality, merging administrative, survey data and/or big data, record linkage, and establishment data. He has published over 100 articles in journals, including the American Economic Review and the Quarterly Journal of Economics.
Further details about Stefan Bender: www.bundesbank.de/en/bundesbank/research/rdsc/about-the-rdsc/prof-stefan-bender-604504
Dr. Andreas Totok has been working with data integration and analysis applications for 25 years and heads the Enterprise Information Management division at Finanz Informatik Solutions Plus (FI-SP). In this role, he advises banks and insurance companies in the Sparkasse Finance Group on strategic IT issues and is responsible for implementation projects in the areas of corporate and risk controlling, as well as regulatory reporting. Dr. Totok also headed the Competence Center for Artificial Intelligence (AI) of the financial information technology group from 2019 to 2021. This examined how savings banks and network partners can benefit from the use of AI. He is currently responsible for the coordination office for the use of artificial intelligence within the FI group of companies.
Further details about Andreas Totok: https://totok.de/person.htm
Professor Frauke Kreuter holds the Chair of Statistics and Data Science at LMU Munich, Germany and the University of Maryland, USA; she is Co-director of the Social Data Science Center (SoDa) and faculty member in the Joint Program in Survey Methodology (JPSM). She is an elected fellow of the American Statistical Association and received the Warren Mitofsky Innovators Award of the American Association for Public Opinion Research in 2020. Professor Kreuter is also a driving force behind initiatives like the International Program for Survey and Data Science (IPSDS) and the Coleridge Initiative. Additionally, she co-founded the German language podcast Dig Deep.
Further details about Frauke Kreuter: www.soda.statistik.uni-muenchen.de/people/professors/kreuter1/index.html
Google Scholar: https://scholar.google.com/citations?user=iD8Vb4MAAAAJ&hl=de
Daniel Ringel is an Assistant Professor at Kenan-Flagler Business School of the University of North Carolina at Chapel Hill, USA, and an alumnus of the efl – The Data Science Institute. His research sits at the crossroads of data-driven marketing, data science, and artificial intelligence. Dr. Ringel exploits the capabilities of machine learning and generative artificial intelligence to develop new methodologies and analytical approaches that enable organizations to effectively navigate and capitalize on the information flood characteristic of modern society. He seeks to unearth and interpret meaningful patterns and relationships in unstructured data among various entities—from concrete subjects like consumers, firms, brands, and products to abstract concepts such as words and images—in unstructured data. By integrating disparate fields of study, such as computer science and business, Dr. Ringel fosters collaborations and synergies toward the shared objective of delivering tangible insights and generating transformative implications.
Further details about Daniel Ringel: www.kenan-flagler.unc.edu/faculty/directory/daniel-ringel/
Google Scholar: https://scholar.google.com/citations?user=TK7CbkIAAAAJ&hl=en
Ivan Habernal holds a W2 Professorship for Natural Language Processing at Paderborn University, Germany. His current research areas include privacy-preserving NLP, legal NLP, and explainable and trustworthy models. His research track spans argument mining and computational argumentation, crowdsourcing, large-scale corpora, serious games, sentiment and sarcasm on social media, and the semantic web.
Google Scholar: scholar.google.com/citations
Further details about Ivan Habernal: www.trusthlt.org
Prof. Dr. Thomas Höppner is a competition lawyer and partner at law firm Hausfeld, based in Berlin. He has been involved in some of the most high-profile landmark competition cases relating to technological advancements by companies like Alphabet, Apple, Amazon and Microsoft. Advising multiple companies and associations affected by digital gatekeepers, he is recognized as a thought leader in disputes relating to the digital economy, including AI.
Further details about Thomas Höppner: https://www.hausfeld.com/en-de/who-we-are/prof-dr-thomas-hoppner/
Gabriela Alves Werb is a Data Science Expert at the Deutsche Bundesbank and a Professor of Business Information Systems at the Frankfurt University of Applied Sciences. Her current research lies in the interface among marketing, finance and information systems. She applies machine learning and artificial intelligence to explore new sources of risk for consumers, investors, and firms, as well as to promote data transparency in sustainable finance. Her teaching focuses on machine learning methods and their application to solve substantive problems in several disciplines, including marketing.
Further details about Gabriela Alves Werb: https://www.bundesbank.de/en/bundesbank/research/rdsc/about-the-rdsc/gabriela-alves-werb-850222
Oliver Hinz is a Professor of Information Systems and Information Management at Goethe University Frankfurt and Chairman of the efl – the Data Science Institute. He is interested in research at the intersection of technology and markets. With numerous publications in top journals, he is currently ranked among the leading researchers in German management disciplines. He serves as the Editor-in-Chief of the prestigious journal "Business & Information Systems Engineering".
Further details about Oliver Hinz: www.wiim.uni-frankfurt.de/en/team/prof-dr-oliver-hinz/
Google Scholar: https://scholar.google.de/citations?user=5HYKgr4AAAAJ&hl=de