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Dive into the research topics where David Steyrl is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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AI-Enhanced XR Therapy: Virtual Solutions for Mental Health
Scharnowski, F. (Project Lead) & Steyrl, D. (Co-Lead)
1/12/25 → 30/11/28
Project: Research cooperation
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Jointly Optimized Allocation of Functionality in Systems of Systems
Scharnowski, F. (Project Lead), Steyrl, D. (Co-Lead) & Melinšcak, F. (Co-Lead)
1/11/21 → 31/10/24
Project: Research cooperation
Publications
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Exploring the impact of biological sex on intrinsic connectivity networks in PTSD: A data-driven approach
Nicholson, A. A. (Corresponding author), Lieberman, J. M., Hosseini-Kamkar, N., Eckstrand, K., Rabellino, D., Kearney, B., Steyrl, D., Narikuzhy, S., Densmore, M., Théberge, J., Hosseiny, F. & Lanius, R. A., 10 Jan 2025, In: Progress in Neuro-Psychopharmacology & Biological Psychiatry. 136, 111180.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Investigating short windows of interbrain synchrony: A step toward fNIRS-based hyperfeedback
Kostorz, K., Nguyen, T., Pan, Y., Melinscak, F., Steyrl, D., Hu, Y., Sorger, B., Hoehl, S. & Scharnowski, F., 17 Jun 2025, In: Imaging Neuroscience. 3, IMAG.a.43.Publications: Contribution to journal › Article › Peer Reviewed
Open Access -
Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors
Todorova, B., Steyrl, D., Hornsey, M. J., Pearson, S., Brick, C., Lange, F., Van Bavel, J. J., Vlasceanu, M., Lamm, C. & Doell, K. C., 2025, In: npj climate action. 4, 1, p. 46Publications: Contribution to journal › Article › Peer Reviewed
Open Access
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Structural Stigma and Minority Stress as Predictors of Relationship Quality in a Global Sample of Sexual Minority and Gender Diverse Populations: An intersectionality-informed, machine learning-based analysis
Siegel, M. (Speaker), Randall, A. K. (Contributor), Lannutti, P. J. (Contributor), Steyrl, D. (Contributor), Boiger, M. (Contributor), Chiarolanza, C. (Contributor), Fischer, M. (Contributor), Galdiolo, S. (Contributor), Kanth, B. (Contributor), Kittieerasack, P. (Contributor), Londero-Santos, A. (Contributor), Meuwly, N. (Contributor), Natividade, J. C. (Contributor), Üçok, S. B. Ö. (Contributor), Relvas, A. P. (Contributor), Rumondor, P. C. (Contributor), Siau, C. S. (Contributor) & Zemp, M. (Contributor)
1 Aug 2025Activity: Talks and presentations › Talk or oral contribution › Science to Science
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Interpretable machine learning for hypothesis
Steyrl, D. (Speaker), Karner, A. (Speaker), Spee, B. T. M. (Speaker) & Scharnowski, F. (Speaker)
16 Sept 2024 → 24 Sept 2024Activity: Talks and presentations › Talk or oral contribution › Science to Science
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Enhancing Hypothesis Testing via Interpretable Machine Learning Frameworks
Steyrl, D. (Speaker), Karner, A. (Speaker), Spee, B. T. M. (Speaker) & Scharnowski, F. (Speaker)
25 Jun 2024 → 29 Jun 2024Activity: Talks and presentations › Poster presentation › Science to Science