The research of Laura Bringmann (PhD) focuses on bridging the gap between different fields such as statistics, philosophy, methodology, and clinical psychology. She heads the LaBlab, short for Laura Bringmann’s intensive longitudinal data lab, where she has supervised 7 PhD students (4 completed, 3 ongoing).
Her extensive research career has taken her to seven universities in four countries, including the Netherlands, Germany, Belgium, and the USA. In 2019, Laura Bringmann secured a prestigious NWO VENI grant, supporting her research on developing new network models to detect changes over time in psychiatric disorders. In 2018, she was elected as a member of the Young Academy Groningen, an interdisciplinary group of talented young scientists.
One of Laura Bringmann’s notable contributions to the academic community is the biannual Dutch-Belgian meeting, “Dynamical Network and Time Series Models (DynaNeT).” This meeting brings together over 30 researchers from statistical and clinical fields to share ideas and collaborate on time series and network projects. Laura Bringmann initiated and organizes this meeting, which serves as a platform for advancing research in this field.
In the Stress in Action project, Laura Bringmann combines expertise in time series analysis and machine learning to develop new insights into how stress affects us over time. This research could have significant implications for how we understand and manage stress-related conditions.
Has several publications in flagship psychological journals, including Psychological Review, World Psychiatry, Psychological Methods, and Current Directions in Psychological Science.
ZonMW grant, project title: Feeling Safe-NL: A new recovery-oriented, transdiagnostic, modular, translational, and peer-supported treatment to achieve wellbeing and prevent the persistence of paranoia (600 000 € in total) PI: David van den Berg; Laura Bringmann is a co-PI.
2019 VENI grant – Netherlands Organisation for Scientific Research (NWO), project title: Changing networks: New models to detect changes in psychiatric disorders (250 000 €)
Bringmann, L. F. (in press). The future of dynamic networks in research and clinical practice. World Psychiatry.
Bringmann, L. F., Elmer, T., & Eronen, M. I. (2022). Back to Basics: The Importance of Conceptual Clarification in Psychological Science. Current Directions in Psychological Science, 09637214221096485. https://doi.org/10.1177/09637214221096485
Bringmann, L. F. (2021). Person-specific networks in psychopathology: Past, present, and future. Current opinion in psychology, 41, 59-64.
Bringmann, L. F., Elmer, T., Epskamp, S., Krause, R. W., Schoch, D., Wichers, M., Wigman, J. T. W., & Snippe, E. (2019). What do centrality measures measure in psychological networks. Journal of Abnormal Psychology. 128(8), 892–903. https://doi.org/10.1037/abn0000446
Bringmann, L. F., & Eronen, M. I. (2018). Don’t blame the model: Reconsidering the network approach to psychopathology. Psychological Review, 125(4), 606-615.