Self-sovereign identity (SSI) is a promising paradigm for managing digital identities, offering individuals greater control while enabling more secure and efficient interactions across sectors. Yet, public sector innovation with SSI remains complex. In our paper (open access) that has been published in Government Information Quarterly, we explore how public sector organizations can experiment with and actualize the potential of SSI. Using the affordance-experimentation-actualization (A-E-A) framework, we present findings from a real-world case study on digital tax registration.

Over the past few years, Darmstadt-based artist Rainer Lind has created and published hundreds of video portraits. The films are based on lengthy interviews with people who have something special to say. Among them are many personalities who are active in cultural fields such as art, photography, theater, design, architecture, film, and music.

I feel very honored that Rainer Lind has also created a video portrait of me. In this portrait, I talk about my personal career, my passion for the information systems research field, and my views on the topic of artificial intelligence.

The video portrait can be viewed on the websites of Rainder Lind and the Bertolt Brecht School (German language).

Central Bank Digital Currencies (CBDCs) are reshaping the future of finance, but what role can private organizations play in this emerging ecosystem? In a our paper recently published in Communications of the Association for Information Systems (CAIS), we explore the value propositions that companies can offer in CBDC contexts, based on a multivocal literature review of academic and practitioner sources. Our findings provide a comprehensive framework for understanding how businesses can innovate and add value in a CBDC-driven financial landscape.

In today’s volatile environment, organizations are constantly striving to optimize their processes to maintain competitive advantages. Thereby, process mining supports data-driven process optimization, for example, through prescriptive process monitoring. So far, prescriptive process monitoring mainly focuses on data from single organizations.

However, there are often similar processes across several organizations with the same process goals but differing activities. This entails the potential for mutual learning from an interorganizational perspective. Yet, since process data contains sensitive information, data sovereignty represents a major requirement. 

Federated learning serves as a promising starting point to do so. Thus, following the design science paradigm, we developed, instantiated, and evaluated an approach for data-sovereign, interorganizational prescriptive process monitoring based on federated learning, providing a proof of concept and a foundation for future research.

I am happy that our paper “Toward Data-Sovereign Prescriptive Process Monitoring – A Federated Learning Approach” has been accepted for presentation at the 33rd European Conference on Information Systems (ECIS 2025). The conference will take place from June 12 to 18 in Amman, Jordan.