During lecture time, we have our Lunchtime Seminar each Tuesday from 12.15-12.45. During this seminars, researchers of the Department or invited guest provide us with insights into their research.
Datum |
Titel | Zusammenfassung |
|---|---|---|
| 16.11.2021 | When do good communication models fail in global virtual teams? |
Speaker: Dr. Sirkka L. Jarvenpaa, The University of Texas at Austin, USA. Abstract: Global virtual teams represent temporary work systems that are assembled for a joint task, performed by team members who collaborate primarily via digital technologies. Team members span geography and culture and often have only a narrow period of shared work hours. Within highly constrained temporal spaces, team members coordinate and collaborate on joint tasks with... mehr |
| 09.11.2021 | Ethics in AI: A Challenging Task |
Talk title: Ethics in AI: A Challenging Task Speaker affiliation: Ricardo Baeza-Yates, Institute for Experiential AI, Northeastern University. Talk abstract: In the first part we cover five current specific challenges through examples: (1) discrimination (e.g., facial recognition, justice, sharing economy, language models); (2) phrenology (e.g., biometric based predictions); (3) unfair digital commerce (e.g., exposure and... mehr |
| 02.11.2021 | Influence diffusion in social networks: modelling, prediction, and control |
Speaker: Dr. Doina Bucur, University of Twente, The Netherlands. Abstract: Information (of influence) diffuses via links in a social network, and, even assuming that the network structure is relatively static, the size of an information cascade is hard to estimate well, both over a model and over a real social network. We cover models of information diffusion, then look at methods to predict ‘important’ nodes in the network, for example single nodes... mehr |
| 26.10.2021 | Watch Me Get Better! – Algorithm Aversion and Demonstrating the Ability to Learn |
Speaker: Prof. Dr. Benedikt Berger, Department of Information Systems, the University of Münster, Germany. |
| 19.10.2021 | Augmenting the algorithm: Emerging human-in-the-loop work configurations |
Speaker: Prof. Dr. Margunn Aanestad, Department of Information Systems, University of Agder, Kristiansand, Norway. Abstract: How do configurations of humans and algorithms evolve as firms adopt artificial intelligence (AI) capabilities, and what are the implications for work and organization? We explored these questions through a two-year long case study of an organization in the international maritime... mehr |
| 12.10.2021 | Cognitive diagram understanding and task performance in system analysis and design |
Speaker: Prof. Dr. Jan Mendling, Humboldt-Universität zu Berlin, Germany.
Abstract: Conceptual models play an important role in system analysis and design (SAD). In this talk, we approach diagrams in SAD from a holistic perspective. We establish the SAD process as a context for diagram usage and highlight the information needs of complex tasks. Second, we discuss in how far cognitive processing of diagrams is different... mehr |
| 13.07.2021 | NAO says hello! |
Pedagogical conversational agents (CA) support formal and informal learning to help students achieve better learning outcomes by providing information, guidance or fostering reflections. Even though the extant literature suggests that pedagogical CAs can improve learning outcomes, there exists no empirical evidence of what design features drive this effect. We will briefly report on a study we conducted in this field. Furthermore, we will provide a short demonstration of a quiz... mehr |
| 06.07.2021 | Behavioural insurance in the German Automotive Market |
The automotive insurance market is undergoing fundamental changes with the advent of novel Insurance Technology (InsurTec), mobility initiatives such as autonomous vehicles, car sharing and subscription models for new cars, and the emergence of new forms of insurance such as short-term cover, pay per use and advanced analytics, which can encourage drivers to improve their driving behaviour. The traditional forms of insurance and information exchange are being augmented or replaced by... mehr |
| 29.06.2021 | Biometric recognition, principles and privacy protection |
The biometric comparator is the core engine of most biometric recognition systems. Its current realisations are predominantly based on machine learning. In the talk I will first review the underlying principles, which differ from those of standard machine-learning based classification, and their relation to statistical optimality. Next, I will address various security and privacy risks of the storage and processing of biometric data and discuss proposed privacy enhancing solutions. |
| 22.06.2021 | Complexity-based Selection of Production Planning and Control Architectures |
While research discussing and determining the need for autonomy in production systems exists, no publications focus on the architectural perspective so far. Heterarchical production planning and control architectures are only needed, when hierarchical architectures have troubles handling the underlying system complexity. Here, literature however does not depict the interactions between a growing system complexity and the computational complexity of the related... mehr |