Information systems based on new and emerging technologies

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Summary

The specialist area focuses in particular on information systems and platforms that are based on internet-based and emerging technologies. These include, for example, artificial intelligence, cloud, fog and edge computing and distributed ledger technology. Emerging technologies are new and relatively fast-growing technologies that are characterized by a certain degree of coherence and have the potential to have a significant impact on socio-economic domains (see Rotolo et al., 2015). However, the most important effects lie in the future and are therefore still uncertain in the development phase. Such new technologies are therefore often associated with great uncertainty on the one hand, but usually have great potential on the other. They therefore offer fertile ground for new research work.

 

Source: Rotolo, D., Hicks, D., & Martin, B. R. (2015). What is an emerging technology? Research policy, 44(10), 1827-1843.

Research assistants

Maximilian Blume, Yannick Heß, Eva Späthe, Dr. Kathrin Brecker.

Alumni: Dr. Heiner Teigeler, Dr. Niclas Kannengießer

Main research areas

Critical analysis of the use of artificial intelligence in schools.

Exploring the potential of fog computing for decentralized data processing in real time directly at the edge of the network.

Analysis of how companies can successfully use AIaaS that offer AI functionalities via cloud platforms.

Development of methods for defining, monitoring and controlling service level agreements in federated cloud environments.

Investigation of governance, architecture and collaboration models of digital ecosystems with a focus on sovereignty and interoperability.

Analysis of the possible applications of distributed technologies (e.g. blockchain) for secure, transparent and traceable digital processes.

Exemplary publications

  • Späthe, E.; Danylak, P.; Lins, S.; Sunyaev, A. (2024): "Two Sides of the Same Coin: Risks and Opportunities of ChatGPT in Higher Education". In: Proceedings of the 10th International Conference on Educational Technologies
  • Brecker, K.; Lins, S.; Trenz, M.; Sunyaev, A. (2023). Artificial Intelligence as a Service: Trade-Offs Impacting Service Design and Selection. Proceedings of the 44th International Conference on Information Systems (ICIS).
  • Blume, M.; Lins, S.; Sunyaev, A. (2023). Uncovering effective roles and tasks for fog systems. Proceedings of the 10th European Conference on Service-Oriented and Cloud Computing (ESOCC).
  • Kannengießer, N.; Lins, S.; Sander, C.; Winter, K.; Frey, H.; Sunyaev, A. (2021). Challenges and Common Solutions in Smart Contract Development. In IEEE transactions on software engineering 48 (11), 4291-4318. doi:10.1109/TSE.2021.3116808
  • Kannengießer, N., Lins, S., Dehling, T., & Sunyaev, A. (2020). Trade-Offs between Distributed Ledger Technology Characteristics. ACM Computing Surveys, 53 (2), Art. No.: 42. doi:10.1145/3379463