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Lea Lösch is an Assistant Professor at the transdisciplinary Athena Institute at Vrije Universiteit Amsterdam. Her research explores how digital approaches can expand the spaces and modes through which diverse actors are heard, participate, and co-create knowledge in transdisciplinary research. She focuses on combining digital and computational methods with participatory approaches as innovative and potentially more inclusive ways to address complex societal challenges, including healthcare and beyond. In doing so, she engages with questions of how diverse forms of knowledge are produced, valued, marginalized, and integrated in these processes.
Her work is informed by her disciplinary background in sociology and Science and Technology Studies (STS), as well as her expertise in mixed methods, computational methods, and inter- and transdisciplinary research approaches.
In her PhD research, Lea investigated how digital methods may provide an innovative way to diversify the knowledge available in evidence-based medicine. Specifically, her project explored how natural language processing (NLP) can be used to incorporate patients’ experiential knowledge from online sources into public health and clinical guidelines, with the aim of supporting more inclusive and higher-quality guidelines.
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Collaborations and top research areas from the last five years
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Including patient experiences from online sources in guidelines: A natural language processing study on scabies Introduction
Lösch, L., Kampman, C. J. G., Syurina, E., Kunneman, F. A., Liekens, H., Doughty, T., Stein, M. L., Smid, L., Timen, A. & Zuiderent-Jerak, T., Jan 2026, In: PLoS ONE. 21, 1, p. 1-10 10 p., e0339358.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access -
Rethinking Knowledge Integration in Health Through Digital Experimentation
Lösch, L., 9 Sept 2025, 255 p.Research output: PhD Thesis › PhD-Thesis - Research and graduation internal
Open AccessFile249 Downloads (Pure) -
Incorporating Stakeholders’ Experiences in Guideline Development Through Natural Language Processing (NLP) Analysis – A Practical Guide
Lösch, L., Syurina, E., Kunneman, F., Liekens, H., Doughty, T., Stein, M. L., Timen, A. & Zuiderent-Jerak, T., May 2024, Vrije Universiteit Amsterdam, Athena Institute. 16 p.Research output: Book / Report › Report › Professional
Open AccessFile212 Downloads (Pure) -
Algorithmic Experience: Exploring the Potential of AI Technologies for Medical Knowledge Integration
Lösch, L. & Zuiderent-Jerak, T., 2024, Reframing Algorithms: STS Perspectives to Healthcare Automation. Miele, F. & Giardullo, P. (eds.). Springer Nature, p. 73-98 26 p.Research output: Chapter in Book / Report / Conference proceeding › Chapter › Academic › peer-review
Open AccessFile67 Downloads (Pure) -
Kaleidoscopic integration: Advancing the integration of incommensurable knowledge in healthcare guidelines
Lösch, L., Willems, W., Bongers, M., Timen, A. & Zuiderent-Jerak, T., Dec 2023, In: Social Science & Medicine. 339, p. 1-9 9 p., 116360.Research output: Contribution to Journal › Article › Academic › peer-review
Open Access
Projects
- 2 Finished
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Evidence in Actie: Dynamisch standaardiseren van ervaringskennis en waarden in richtlijnen. Uitbreiding COVID-19 Vaccinatie
Zuiderent-Jerak, T. (Principal Investigator), Timen, A. (Principal Investigator), Syurina, E. (Project Researcher), Kunneman, F. (Project Researcher), Lösch, L. (PhD candidate), Bongers, M. (Project Researcher), Stein, M. L. (Project Researcher), Willems, W. (Project Researcher), el Fassi, S. (Project Researcher) & Morante Vallejo, R. (Project Researcher)
1/04/21 → 31/12/21
Project: Research
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Evidence in Actie: Dynamisch standaardiseren van ervaringskennis en waarden in richtlijnen
Zuiderent-Jerak, T. (Principal Investigator), Timen, A. (Principal Investigator), Syurina, E. (Project Researcher), Kunneman, F. (Project Researcher), Lösch, L. (PhD candidate), Bongers, M. (Project Researcher), Stein, M. L. (Principal Investigator) & Lösch, L. (Project Researcher)
1/09/20 → 1/02/24
Project: Research