Media & Outreach

Selected media coverage, policy engagement, and public outreach activities.

Media Coverage

“Are Companies Being Ripped Off by Big Banks Over Share Buybacks?” — The Sunday Times, September 2023
“How Gender Diversity and AI are Changing the Fintech Industry” — SocietyBytes Science Magazine, August 2023
“If Companies Are Going to Buy Back Shares, They Should Pay a Fair Price” by Brooke Masters — Financial Times Weekend Edition, July 2023
“Governance from the Perspective of Science, Administration, and Industry” — Künstliche Intelligenz im Staat, February 2022
“Artificial Intelligence in the Financial Industry” — PostFinance Pionierblog, February 2022
“Jörg Osterrieder from ZHAW on Fintech, Open Banking, and Blockchain” — Netzwoche Magazine, November 2021
“Greater Zurich Boosts AI in Finance” — Greater Zurich Area News, October 2021
“Artificial Intelligence Must Not Be a Black Box” — Fintech Interview, September 2020

Policy Engagement

Academia-Government Policy Workshop on AI in Finance, European Commission, Brussels — Organizer, May 2024
Academia-Government Policy Workshop on AI in Finance, COST Association, Brussels — Organizer, May 2023
Research Workshop on Blockchain, Hungarian Central Bank, Budapest — Speaker, April 2021
Research Workshop on Artificial Intelligence, Hungarian Central Bank, Budapest — Speaker, March 2020
Research Workshop on Big Data, Hungarian Central Bank, Budapest — Speaker, June 2019
Academia-Industry Round-Table Discussion: Big Data Analytics in FinTech, Zurich, Switzerland — Organizer, July 2019

Public Outreach Events

23rd China International Talent Exchange Conference — Data Science, Fintech and Digital Economy

October 20–23, 2025, Shanghai

Roundtable: “Economic Resilience in Emerging Markets”

October 20, 2025, Shanghai Yoja Hotel

In-depth roundtable discussion among international scholars on Economic Resilience in Emerging Markets. Participants included:

Susan Sharma, Deakin University
Liu Guanyu, Capital University of Economics and Business
Georg Keilbar, Humboldt University of Berlin
Jörg Osterrieder, University of Twente, Netherlands
Lu Qiao, Leeds University
Suyang Li, Swansea University

A China’s Story, A Global Research: Meeting with Editors

October 22, 2025, Shanghai World Expo Conference Center

The Foreign Talent Research Center on Fintech and Financial Econometrics has prioritized promoting research achievements in philosophy and social sciences with Chinese characteristics as a key mission since its establishment. A group of editors-in-chief and associate editors from internationally authoritative and leading journals in the field have been invited to join the Center, providing an international platform for disseminating outstanding Chinese research in the social sciences.

Session agenda:

Introduction to journal characteristics and scope
Promoting higher-quality publications of research by Chinese scholars
Recent call-for-papers directions for major journals

Participating journal editors:

Jianqing Fan — Co-Editor, Journal of the American Statistical Association; Frederick L. Moore Professor and Chair of Finance, Princeton University; Professor and Dean, School of Data Science, Fudan University
Wolfgang Haerdle — Editor, Digital Finance; School of Business and Economics, Humboldt University of Berlin
Jonathan Batten — Co-editor, Finance Research Letters and Risk Management; Professor of Finance, Royal Melbourne Institute of Technology (RMIT University), Melbourne, Australia
Peter Szilagyi — Editor, Elsevier’s Journal of International Financial Markets, Institutions & Money; Professor of Finance, EDHEC Business School
Joerg Osterrieder — Editor, Management and Marketing; University of Twente and Bern Business School

Towards The Future: Young Scholars Forum

October 22, 2025, Shanghai World Expo Conference Center

Cultivating the future generation in terms of research rigour and international scope is the essence of education. The session featured two keynotes and a selection of young researchers’ papers.

Keynote: Digital Finance: Non-Systematic “Systematics,” LLM Narratives, and High-Frequency Trading Around Macro-News Announcements — Joerg Osterrieder, University of Twente / Bern Business School

Organizer: Capital University of Economics and Business (CUEB), Prof. Yezhou Sha. Co-organizers:

International Office, CUEB
School of Economics, CUEB
School of Labour Economics, CUEB
School of Finance, CUEB
School of Statistics and Data Science, CUEB
International School of Economic Management, CUEB
Institute of Beijing Digital Economy Development
Foreign Talent Research Center on Fintech and Financial Econometrics

ECB–MSCA Kick-off Event

September 23, 2025, Eurotower, Frankfurt am Main

Presentation of the MSCA Industrial Doctoral Network on Digital Finance — Introduction and the Pipeline of Research.

15th Annual MENA CFO Conference — Post-Conference Workshop

*Dubai, UAE

Dusit Thani Dubai*

On the final day of the 15th Annual MENA CFO Conference, Joerg Osterrieder led the Post-Conference Workshop on Leveraging Generative AI for Strategic Financial Leadership. The session equipped CFOs and finance leaders with actionable strategies to integrate AI-driven tools into their financial planning, forecasting, and decision-making processes.

Workshop Overview

Session title: Leveraging Generative AI for Strategic Financial Leadership

Topics covered:

AI-Driven Financial Forecasting — How generative AI and large language models (LLMs) can enhance financial forecasting accuracy by integrating structured and unstructured data sources
Ethical and Governance Considerations — Model explainability, bias detection, and risk management frameworks essential for AI adoption in finance
Practical Implementation — Integrating AI into existing finance systems, including real-world case studies on revenue forecasting and scenario planning

Technical Highlights

Generative AI in Finance — Transformer architectures and prompt engineering for finance-specific tasks; integration of generative models into scenario analysis, stress testing, and management reporting
Data Engineering and Model Deployment — Best practices for preparing financial datasets (time-series alignment, missing data imputation); deployment pipelines including model monitoring and continuous learning
Governance and Regulatory Compliance — Frameworks for integrating AI into financial workflows while ensuring compliance with Basel III/IV, IFRS 9, and other relevant standards; explainability tools (SHAP, LIME) to support transparency and regulatory audits
Risk Management Integration — Techniques for incorporating AI forecasts into Value-at-Risk (VaR) models, stress testing, and scenario analysis; human-in-the-loop systems to oversee AI outputs in critical decision processes

Key Outcomes

Participants gained practical insights into integrating generative AI into financial leadership roles, enhancing efficiency and innovation
Step-by-step frameworks for evaluating and deploying AI models in finance
Discussions around regulatory alignment, data governance, and risk management considerations for AI adoption

Facilitated by Joerg Osterrieder, Professor of Finance and Artificial Intelligence, MSCA Digital Finance, Switzerland.

ING–University of Twente Workshop: Data Analytics and Quantitative Models in Banking and Academia

February 28, 2025, ING Headquarters, Amsterdam

This event gathered over 80 professionals, academics, and students to discuss developments in finance, risk management, artificial intelligence, and data science. Joerg Osterrieder and Anouk Bleumer organized and led the workshop, creating the program and enabling discussions on how academic research can be applied to industry challenges.

Starting with an introduction by Jos van Hillegersberg, the event featured presentations from key experts, including:

Max Baak on Data Analytics and Generative AI applications in banking
Wilco den Dunnen on Economic Capital Models and their role in risk management
Domenico Soluri on Model Validation and Climate Risk assessments
Adriano Barasal Morales, PhD on Spatial Finance and leveraging satellite data for financial decision-making
Anil Raina on Model Implementation best practices

Participants could join three different workshops:

Multi-agent LLM for scenario analysis — led by Joerg Osterrieder and Max Baak
Explainable Reinforcement Learning in Finance — addressing AI transparency in compliance with the European AI Act, led by Wouter van Heeswijk
Hands-on Credit Risk Model Implementation — led by Anil Raina

Results were presented by Frederik Sinan Bernard and Anouk Bleumer, highlighting practical applications of research in quantitative finance. This workshop marks a significant step toward bridging academia and industry. Future collaborations under the MSCA Digital Finance European Industrial Doctoral Network and COST Fintech and Artificial Intelligence in Finance will continue to strengthen research-driven innovation in banking and finance.

COST Fintech and Artificial Intelligence in Finance

Meeting held at Coimbra University, one of the oldest universities in the world and the oldest in Portugal, founded in 1290. Discussions focused on topics of the 21st century: Fintech, Artificial Intelligence, and diversity in Finance.

European Summer School in Financial Mathematics at Delft University of Technology

Organised by Antonis Papapantoleon and team. The summer school brought together researchers and students to advance the field of financial mathematics.

Digital Transformation of EU’s Financial Markets — European Financial Regulation Conference 2022

Panel discussion on the digital transformation of EU’s financial markets (timestamp 1:19:00), with:

Mattias Levin, Deputy Head of Unit, Digital Finance, European Commission
Ralf Schneider, Allianz Group CIO
Fabiana Mingrone, Country Manager Germany, International Card Services, American Express

Bank for International Settlements: IFC Workshop on Data Science in Central Banking

February 14–17, 2022, BIS

Keynote speech: Artificial Intelligence in Finance — Quo Vadis (introduced by the Vice-Governor of the South African Reserve Bank, Head of the Irving-Fisher Committee). Part of the IFC–Bank of Italy workshop on “Data science in central banking”, Part 2: Data Science in Central Banking: Applications and tools.

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