Daniel Brand
Research Interests
- Cognitive Modeling
- Predictive Modelling of Human Reasoning
- Syllogistic Reasoning
- Information Systems
CV
Professional Experience
- since 02/2022: Research Assistant, TU Chemnitz, Professorship of Predictive Analytics
- 02/2021 - 07/2021: Research Assistant, University of Southern Denmark, Department of Design and Communication
- 07/2020 - 02/2022: Research Assistant, University of Freiburg, Cognitive Computation Lab
- 05/2017 - 06/2020: Research Assistant, University of Freiburg, Center for Cognitive Science
Education and Qualifications
- 2016: MSc. Computer Science, University of Freiburg
- 2012: BSc. Computer Science, University of Freiburg
Teaching
- SS 2022: Lecturer, Seminar: Cognitive Ergonomics, TU Chemnitz
- SS 2021: Assistant, Seminar: Cognitive Modeling, Cognitive Computation Lab, University of Freiburg
- SS 2020: Assistant, Seminar: Cognitive Modeling, Cognitive Computation Lab, University of Freiburg
- WS 2019/20: Assistant, Seminar: Cognitive Reasoning: Methods, Algorithms, and Statistics to Discern Human from Artificially Generated Data, Cognitive Computation Lab, University of Freiburg
- SS 2019: Assistant, Seminar: Cross-Domain Modeling of Human Cognition, Cognitive Computation Lab, University of Freiburg
- SS 2014: Tutor, Cloud Computing, Department for Databases and Information Systems, University of Freiburg
- SS 2012: Tutor, Software Engineering, Department for Software Engineering, University of Freiburg
Projects
Current Projects
- Automatische Prozessmodellgenerierung für Kognitive Modellierung [Automatic process model generation for cognitive modeling]
Previous Projects
Software
Publications
- Brand, D., & Ragni, M. (2023). Effect of Response Format on Syllogistic Reasoning. In M. Goldwater, F. K. Anggoro, B. K. Hayes, & D. C. Ong (Eds.), Proceedings of the 45th Annual Meeting of the Cognitive Science Society (pp. 2408–2414). [PDF] [GitHub]
- Todorovikj, S., Brand, D., & Ragni, M. (2023). Preferred Mental Models in Syllogistic Reasoning. In C. Sibert (Ed.), Proceedings of the 21th International Conference on Cognitive Modeling (pp. 252–258). University Park, PA: Applied Cognitive Science Lab, Penn State. [PDF]
- Brand, D., Riesterer, N., & Ragni, M. (2023). Uncovering Iconic Patterns of Syllogistic Reasoning: A Clustering Analysis. In C. Sibert (Ed.), Proceedings of the 21th International Conference on Cognitive Modeling (pp. 57–63). University Park, PA: Applied Cognitive Science Lab, Penn State. [PDF]
- Dames, H., Brand, D., & Ragni, M. (2022). Evidence for Multiple Mechanisms Underlying List-Method Directed Forgetting. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society (pp. 519–525).
- Brand, D., Riesterer, N., & Ragni, M. (2022). Model-Based Explanation of Feedback Effects in Syllogistic Reasoning. Topics in Cognitive Science, 14(4), 828-844. doi: 10.1111/tops.12624. [GitHub]
- Mittenbühler, M., Brand, D., & Ragni, M. (2022). Do Models of Syllogistic Reasoning extend to Generalized Quantifiers?. In T. C. Stewart (Ed.), Proceedings of the 20th International Conference on Cognitive Modeling (pp. 189–195). Applied Cognitive Science Lab, Penn State: University Park, PA. [PDF] [GitHub]
- Todorovikj, S., Brand, D., & Ragni, M. (2022). Predicting Algorithmic Complexity for Individuals. In T. C. Stewart (Ed.), Proceedings of the 20th International Conference on Cognitive Modeling (pp. 240–246). Applied Cognitive Science Lab, Penn State: University Park, PA. [PDF]
- Kettner, F., Heinrich, E., Brand, D., & Ragni, M. (2022). Reverse-Engineering of Boolean Concepts: A Benchmark Analysis. In T. C. Stewart (Ed.), Proceedings of the 20th International Conference on Cognitive Modeling (pp. 164–169). Applied Cognitive Science Lab, Penn State: University Park, PA. [PDF]
- Brand, D., Dames, H., Puricelli, L., & Ragni, M. (2022). Rule-Based Categorization: Measuring the Cognitive Costs of Intentional Rule Updating. In J. Culbertson, A. Perfors, H. Rabagliati, & V. Ramenzoni (Eds.), Proceedings of the 44th Annual Meeting of the Cognitive Science Society (pp. 2810–2817). [PDF] [GitHub]
Talks and Poster Presentations
- "Effect of Response Format on Syllogistic Reasoning" @ CogSci 2023. Online, July 2023. [poster]
- "Uncovering iconic patterns of syllogistic reasoning: A clustering analysis" @ 21th International Conference on Cognitive Modeling. Online, July 2023. [slides]
- "Do models of syllogistic reasoning extend to generalized quantifiers?" @ 20th International Conference on Cognitive Modeling. Online, July 2022. [slides]
- "Model-based explanation of feedback effects in syllogistic reasoning" @ 19th International Conference on Cognitive Modeling. Online, July 2021. [talk]
- "Unifying models for belief and syllogistic reasoning" @ 43th Annual Meeting of the Cognitive Science Society. Online, July 2021. [slides] [poster]
- "How usable is Galaxy? A usability evaluation of Galaxy" @ 2019 Galaxy Community Conference (GCC2019). Freiburg, Germany, July 2019. [poster]
- "Extending TransSet: An Individualized Model for Human Syllogistic Reasoning" @ 18th International Conference on Cognitive Modeling. Online, July 2020. [short slides] [talk]