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When public values and user-centricity in e-government collide
Our new paper came out on a Friday – just in time for weekend reading 🍹📚 Here it is, “When public values and user-centricity in e-government collide – A systematic review” together with my co-authors Linda Weigl, Dr. Tamara Roth, and Alexandre Amard just published in Government Information Quarterly. Abstract: âť“User-centricity in e-government is a…
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Organizing for value in blockchain information system
It took more than 3 years for this paper to see the world, but now it’s there! Freshly published: “Organizing for value creation in blockchain information systems” in the Information and Organization journal together with Ingrid Bauer-Hänsel, Janine Hacker and Gerhard Schwabe Abstract: “Many blockchain consortia have been established to build blockchain information systems. While…
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New study published at ECIS 2024
📢📢📢 Exciting news! Our paper, “Negotiation And Translation Between Discursive Fields: A Study On The Diffusion Of Decentralized Finance,” has been published at ECIS 2024. Along with my co-authors Eduard Hartwich, Dr. Tamara Roth, Alexander Rieger, and Gilbert Fridgen, we explore how emerging technologies such as decentralized finance (DeFi) can be adopted across different belief systems and…
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Open PhD position
An open PhD position in my new research lab launching this summer at the University of Lausanne – UNIL & HEC Lausanne – The Faculty of Business and Economics of the University of Lausanne👇🏻 Join me to find out how we can design digital platforms and AI applications to truly serve the public good. Full description here.
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🌍 Can we solve global issues without compromising data privacy?
This is what we discuss in our freshly published paper “Overcoming intergovernmental data sharing challenges with federated learning” at the Data & Policy journal. Intergovernmental collaboration is key to addressing global problems, but data privacy concerns often hinder progress. Federated Learning (FL), a decentralized AI method, allows governments to use data from multiple sources without…
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