M.Sc. Daniel Brand
M.Sc. Daniel Brand
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Phone:+49 371 531-38957
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Email:
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Office Hours:Please make an appointment via e-mail first.
My research revolves around the exploration and modeling of human thought processes, especially with respect to inference processes and problem solving. My research is methodologically versatile and lies between cognitive science and cognitive modeling on the one hand, and data science, information systems and artificial intelligence on the other. Regardless of the respective method, the aim is to gain insight into human thought processes and to make findings accessible and applicable by means of predictive computational models.
The focus thereby lies on:
The focus thereby lies on:
- Cognitive Modeling
- Predictive Modelling of Human Reasoning
- Syllogistic Reasoning
- Information Systems
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
- 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
Current Projects
- Automatische Prozessmodellgenerierung für Kognitive Modellierung [Automatic process model generation for cognitive modeling]
Previous Projects
- CCOBRA (Cognitive COmputation for Behavioral Reasoning Analysis) Framework: Online predictive modelling of human reasoning. [Website] [GitHub]
- PVA Webexperiment Tools: Collection of existing tasks and templates aiming to make the development of psychological web-experiments easier. [GitHub]
- Syllogistic Task Predictor: Online interactive prediction environment for syllogistic reasoning [Website]
- Spatial Demonstrator: Interactive environment for spatial reasoning tasks [Website]
- pyTailorshop: Python-based implementation of the Tailorshop simulation[GitHub]
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Brand, D., & Ragni, M. (In Press). Using Cross-Domain Data to Predict Syllogistic Reasoning Behavior. Proceedings of the 47th Annual Meeting of the Cognitive Science Society. [PDF]
- S. Todorovikj, Brand, D., & Ragni, M. (In Press). The Cognitive Complexity of Rule Changes. Proceedings of the 47th Annual Meeting of the Cognitive Science Society.
- S. Todorovikj, Brand, D., & Ragni, M. (In Press). Empirical Test of a Formal Framework of Forgetting. Proceedings of the 23rd International Conference on Cognitive Modeling.
- Brand, D., Todorovikj, S., & Ragni, M. (2024). Predicting complex problem solving performance in the tailorshop scenario. In Sibert, C. (Ed.), Proceedings of the 22th International Conference on Cognitive Modeling (pp. 30–36). University Park, PA: Applied Cognitive Science Lab, Penn State. [PDF] [GitHub]
- Todorovikj, S., Brand, D., & Ragni, M. (2024). Model verification and preferred mental models in syllogistic reasoning. In Sibert, C. (Ed.), Proceedings of the 22th International Conference on Cognitive Modeling (pp. 185–191). University Park, PA: Applied Cognitive Science Lab, Penn State. [PDF]
- Brand, D., Todorovikj, S., & Ragni, M. (2024). Necessity, Possibility and Likelihood in Syllogistic Reasoning. In L. K. Samuelson, S. L. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), Proceedings of the 46th Annual Meeting of the Cognitive Science Society (pp. 2776–2782). [Link] [GitHub]
- 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]
- "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]
