Solveig Behr

Solveig Behr is a Research Associate in the Department of Clinical-Psychological Intervention at the Free University of Berlin's Department of Education and Psychology. She has been working at the university since April 2021, focusing on clinical psychological interventions, particularly in the area of digital mental health and blended care approaches.

Her educational background includes a Master of Science in Psychology from the University of Lübeck (2017), where her thesis examined the relationship between executive functions and spontaneous thought flow, and a Bachelor of Science in Psychology from the University of Bremen (2015), with a thesis on adolescent susceptibility to Islamist ideologies. She completed her psychotherapeutic training in Behavioral Therapy at the Berlin Academy for Psychotherapy from 2018 to 2023.

Dr. Behr's research interests center on digital mental health interventions, with particular expertise in blended care models that combine traditional psychotherapy with online components. Her work spans transdiagnostic approaches to mental health treatment, implementation science, and the development of innovative intervention protocols. She has conducted significant research on self-efficacy in internet-based interventions and the participatory development of online therapeutic tools.

Her research has demonstrated consistent growth in the field of digital mental health interventions, with a clear trajectory from protocol development (2022) through implementation studies (2023-2024) to systematic reviews examining broader theoretical frameworks (2025). Her publications reveal a strong focus on practical applications of digital tools in clinical settings, with increasing attention to meta-analytic approaches that synthesize evidence across multiple studies.

• DAAD Promos Scholarship (2016)
• Stanford-FU Berlin Exchange Fellowship (2023-2024)

Dr. Behr has been involved in multiple research projects at the Free University of Berlin, including work on digital phenotyping, wearables, and machine learning applications in mental health. Her international experience includes a research stay at The Royal Ottawa Mental Health Research and a visiting scholar position at Stanford University's Department of Psychiatry and Behavioral Sciences. She has contributed to the development of clinical psychological assessments and research methods, with a focus on creating effective blended care interventions.