Anna Langener, PhD
Research Associate, Department of Biomedical Data Science, Center for Technology and Behavioral Health, Geisel School of Medicine at Dartmouth
Dr. Anna Langener is a Research Associate in the Department of Biomedical Data Science at Dartmouth. She received her PhD from the University of Groningen, The Netherlands, under the supervision of Dr. Laura Bringmann, Dr. Gert Stulp, and Prof. Martien Kas. She is currently working with Dr. Nicholas Jacobson on developing deep learning models to predict symptom changes in individuals diagnosed with schizophrenia.
Anna’s research interests extend to improving the use of passive data, such as data from smartphones and wearable devices, in research. Her focus includes improving transparency and validating the use of passive data in mental health research.
For more details, you can visit her ORCID profile or follow her on Twitter.
Outside of her academic work, Anna is passionate about CrossFit and (long-distance) running.
Selected Publications
- Langener AM, Siepe BS, Elsherif M, Niemeijer K, Andresen PK, Akre S, Bringmann LF, Cohen ZD, Choukas NR, Drexl K, Fassi L, Green J, Hoffmann T, Jagesar RR, Kas MJH, Kurten S, Schoedel R, Stulp G, Turner G, Jacobson NC. A template and tutorial for preregistering studies using passive smartphone measures. Behav Res Methods. 2024 Aug 7. doi: 10.3758/s13428-024-02474-5. Epub ahead of print. PMID: 39112740.
- Langener AM, Stulp G, Jacobson NC, Costanzo A, Jagesar R, Kas MJ, Bringmann LF. It’s all about timing: Exploring different temporal resolutions for analyzing digital phenotyping data. Advances in Methods and Practices in Psychological Science. 2024;7(1)
- Langener AM, Stulp G, Kas MJ, Bringmann LF. Capturing the dynamics of the social environment through experience sampling methods, passive sensing, and egocentric networks: Scoping review. JMIR Ment Health. 2023 Mar 17;10:e42646. doi: 10.2196/42646. PMID: 36930210; PMCID: PMC10132048.