Dr. Nadia Said

Dr. phil., Diplom-Physikerin

University of Tübingen
Applied Cognitive Psychology
Schleichstr. 4
72076 Tübingen

Tel.: +49 7071 29-75614
Fax: +49 7071 29-5902

E-Mail: nadia.saidspam prevention@uni-tuebingen.de

Visitors' address:

Schleichstr. 4, 72076 Tübingen
6th floor, room 4.612

Office hours:

by appointment

The main focus of my interdisciplinary research is the application of mathematical methods to a broad range of psychological topics. Those include among others belief polarization, peoples’ understanding of climate change and the understanding of non-linear processes. Those questions are tackled by applying a variety of methods like cognitive modeling, agent-based modeling and mathematical optimization methods.

 

Projects

  • Understanding the Underlying Mechanisms of Information Processing and Propagation – The Role of Metacognition (link to project description)

  • Psychological Determinants of Risk Perception about Artificial Intelligence (link to project description)

  • Application of Agent-based Modeling to Understand Information Spread in Echo chambers

Publications

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Publications in Journals

  • Fischer, H. & Said, N. (2021). Importance of domain-specific metacognition for explaining beliefs about politicized science: The case of climate change. Cognition, 208, 104545. doi:10.1016/j.cognition.2020.104545

  • Fischer, H., Amelung, D., & Said, N. (2019). The accuracy of German citizens' confidence in their climate change knowledge. Nature Climate Change, 9(10), 776-780. doi:10.1038/s41558-019-0563-0

  • Said, N., Engelhart M,. Kirches C., Körkel S., & Holt D.V. (2016). Applying Mathematical Optimization Methods to an ACT-R Instance-Based Learning Model. PLoS ONE 11(7): e0158832. doi:10.1371/journal.pone.0158832

  • Hundertmark, J., Holt, D. V., Fischer, A., Said, N., & Fischer, H. (2015). System structure and cognitive ability as predictors of performance in dynamic system control tasks. Journal of Dynamic Decision Making, 1, 5. doi: 10.11588/jddm.2015.1.26416

Publications in Proceedings

  • Said, N., Engelhart, M., Kirches, C., Körkel, S., & Holt, D. V. (2015). Mathematical Formalization and Optimization of an ACT-R Instance-Based Learning Model. In N. A. Taatgen, M. K. van Vugt, J. P. Borst, & K. Mehlhorn (Eds.), Proceedings of the 13th International Conference on Cognitive Modeling (pp. 25-31). Groningen, the Netherlands: University of Groningen.

Grants

  • SAW Post-Doc Network “Cognitive Conflicts during media use” (2020): Reducing belief polarization: The role of cognitive conflicts and metacognition (with Winter, K.)

  • HCE (2018): Influence of Confirmation Bias and Openness on the Emergence of Echo Chambers and Belief Polarization in the Context of Climate Change

  • ZUK 5.4 Scientific Computing (2018): Influence of Objective and Subjective Understanding of Functional Relationships on Making Predictions and Decisions in the Domain of Climate Change (with Fischer, H., Potschka, A., van den Broek K., Amelung, D., Kirches, C.)

  • FRONTIER (2017) (Exzellenzinitiative „Heidelberg: Realising the Potential of a Comprehensive University“): An Agent-based Modeling Approach to Information Spread in Filter Bubbles (with Fischer, H., Potschka, A., Kirches, C.)

  • Field of Focus 4 (2016): Self-regulation of common property resources: Using Agent-Based Modeling for Exploration of the Influence of Working Memory Capacity in CPR Dilemmas (with Fischer, H., Kirches, C. & Amelung, D.)

  • ZUK 5.4 Scientific Computing (2016): Situational and personal factors that contribute to a better understanding of climate change (with Fischer, H., Amelung, D., Kirches, C., & Körkel, S.)

Conference Contributions

  • Said, N., Fieberg, D., Fischer H., Potschka, A., & Kirches C. (2019). Understanding Belief Polarization - An Agent-Based Modeling Approach. Talk at the European Mathematical Psychology Group (EMPG2019), Heidelberg University.

  • Said, N., Fieberg, D., Fischer H., Potschka, A., & Kirches C. (2018). An agent-based modeling approach to information spread in filter bubbles. Talk at the European Mathematical Psychology Group (EMPG2018), University of Genova.

  • Said, N., Fieberg, D., Fischer H., Lohse, J., & Kirches C. (2018). How does Working Memory Capacity influence Extraction Behavior in CPR Dilemmas? - An Agent-Based Modeling Approach. Talk at the Tagung experimentell arbeitender Psychologen (TeaP2018), Marburg University.

  • Fischer, H., Amelung D., & Said, N. (2017). The confidence-accuracy relationship in CC knowledge and understanding. Poster at 2017 SJDM Conference, Vancouver, Canada.

  • Said, N., Fischer, H., Amelung D., & Kirches C. (2017). Using Agent-Based Modeling for Exploration of the Influence of Working Memory Capacity in CPR Dilemmas. Poster presented at MathPsych/ICCM 2017, University of Warwick.

  • Fischer, H., Amelung, D., & Said, N. (2017). Climate Change and the problem with overconfidence: The difference between perceived and actual understanding. Talk at Cambridge Risk and Uncertainty Conference (RUC), University of Cambridge.

  • Said, N. & Holt, D. V. (2016). An ACT-R Model of Age-Related Cognitive Decline in the Digit Span Task. Talk at the Tagung experimentell arbeitender Psychologen (TeaP2016), Heidelberg University.

  • Hundertmark, J., Fischer, H., Fischer, A., Said, N., & Holt, D. V. (2016). Cognitive ability and system structure as predictors of performance in dynamic system control tasks. Talk at the Tagung experimentell arbeitender Psychologen (TeaP2016), Heidelberg University.

  • Said, N., Engelhart, M., Kirches, C., Körkel, S., & Holt, D. V. (2015). Mathematical Formalization and Optimization of an ACT-R Instance-Based Learning Model. Talk at the International Conference on Cognitive Modeling (ICCM2015), University of Groningen.

  • Said, N., Engelhart, M., Kirches, C., Körkel, S., & Holt, D. V. (2014). Mathematical formalization, simplification and optimization of an ACT-R instance-based learning model. Talk at the European Mathematical Psychology Group Meeting (EMPG2014), University of Tübingen.

Invited Talks

  • Said, N. (2018). Der Einfluss von kognitiven Parametern auf das Extraktionsverhalten in Common Pool Resource Dilemmas - Ein explorativer agentenbasierter Modellierungsansatz. Invited Talk at 15. Modellierungstag Rhein-Neckar, Heidelberg University.

  • Said, N. (2017). Application of Optimization Methods to ACT-R Models. Invited Talk at Heidelberg Laureate Forum@IWR & HGS MathComp, Heidelberg University.