- Weijdema, F., Brinkkemper, O., Peeters, H., & van Geel, B. (2011). Early Neolithic human impact on the vegetation in a wetland environment in the Noordoostpolder, central Netherlands. Journal of Archaeology in the Low Countries, 3(1–2). https://pure.uva.nl/ws/files/1198878/125554_372555.pdf
- Weijdema, F. P. (Felix), Knaap, I. M. M. van der (Iris), & van der Kuil, A. (Annemiek). (2020, January 13). RDM Support Presentation for master students in Conflict Studies and Human Rights at Utrecht University [Presentation]. https://doi.org/10.23644/uu.11591469.v2
Highlighted publications
Janssens, M., Gaillard, S., Haan, J. D., Leeuw, W. D., Brooke, M., Burke, M., Flores, J., Kruijen, I., Menon, J., Smith, A., Tiebosch, I., & Weijdema, F. (2023). How open science can support the 3Rs and improve animal research. Research Ideas and Outcomes, 9, 1-23. Article e105198. [DOI] [Repository]
Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L., & Oberski, D. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133. [DOI] [Repository]
Publications
2025
Scholarly publications
van de Schoot, R., Messina Coimbra, B., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R., Grandfield, E., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S., de Bruin, J., & van Zuiden, M. (2025). The hunt for the last relevant paper: blending the best of humans and AI. European Journal of Psychotraumatology, 16(1), Article 2546214. [DOI] [Portal]
Coimbra, B. M., Sijbrandij, M., Engelhard, I., Neeleman, R. C., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Grandfield, E. M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S. D., van der Kuil, T., de Bruin, J., van de Schoot, R., & van Zuiden, M. (2025). PTSD Symptom Trajectories in the Wake of Traumatic Events: a Systematic Review and Meta-Analysis of 20 Years of Research. OSFPREPRINTS. [DOI] [Portal]
van de Schoot, R., Coimbra, B. M., Evenhuis, T., Lombaers, P., Weijdema, F., de Bruin, L., Neeleman, R. C., Grandfield, E. M., Sijbrandij, M., Teijema, J. J., Jalsovec, E., Bron, M. P., Winter, S., de Bruin, J., & van Zuiden, M. (2025). The Hunt for the Last Relevant Paper: Blending the best of humans and AI. OSFPREPRINTS. [DOI] [Portal]
2024
Scholarly publications
Monschau, K., Neeleman, R. C., Jalsovec, E., de Bruin, L., de Bruin, J., Weijdema, F., Folkvord, F., Peschke, L., Westerbeek, E., & van de Schoot, R. (2024). Introducing the Screenathon Review: Crowdsourcing Literature Screening in Large-Scale Research Collaborations. OSFPREPRINTS. [DOI]
Neeleman, R., Weijdema, F., Monschau, K., Deckers, K., Westerbeek, E., de Bruin, L., van de Schoot, R., (Frans), F. F., & Jalsovec, E. (2024). IMPROVE - Umbrella review search details. Data set/Database, OSF. [DOI]
Neeleman, R., Leenaars, CHC., Oud, M., Weijdema, F., & van de Schoot, R. (2024). Addressing the challenges of reconstructing systematic reviews datasets: a case study and a noisy label filter procedure. Systematic Reviews, 13(1), 1-12. Article 69 . [DOI] [Repository]
2023
Scholarly publications
Neeleman, R. C., Leenaars, C., Oud, M., Weijdema, F., & Schoot, R. V. D. (2023). Addressing the Challenges of Reconstructing Systematic Reviews Datasets V2. PsyArXiv. [DOI]
Janssens, M., Gaillard, S., Haan, J. D., Leeuw, W. D., Brooke, M., Burke, M., Flores, J., Kruijen, I., Menon, J., Smith, A., Tiebosch, I., & Weijdema, F. (2023). How open science can support the 3Rs and improve animal research. Research Ideas and Outcomes, 9, 1-23. Article e105198. [DOI] [Repository]
2022
Scholarly publications
Oud, M., Neeleman, R., Leenaars, C., Schoot, R. V. D., & Weijdema, F. (2022). Scripts, data and output to reproduce "Addressing the Challenges of Reconstructing Systematic Reviews Datasets: A Case Study and a Noisy Label Filter Procedure". Data set/Database, OSF. [DOI]
ASReview LAB developers (2022). ASReview systematic review datasets. Data set/Database https://github.com/asreview/systematic-review-datasets
ASReview LAB developers (2022). ASReview artwork. Digital or Visual Products https://github.com/asreview/asreview-artwork
ASReview LAB developers (2022). ASReview Makita [version 0.6]. Software https://github.com/asreview/asreview-makita
ASReview LAB developers (2022). ASReview Datatools [version 1.0]. Software [DOI]
ASReview LAB developers (2022). ASReview Insights [version 1.0]. Software [DOI]
ASReview LAB developers (2022). ASReview LAB - A tool for AI-assisted systematic reviews [version 1.0]. Software [DOI]
2021
Scholarly publications
Brouwer, M., Hofstee, L., de Boer, J., Weijdema, F., Lucassen, P. J., Sloot, P., Stronks, K., Van Weert, J. C. M., Wiers, R., van de Schoot, R., & Bockting, C. (2021). Search Protocol for the Mega-Meta Study on Factors Contributing to Substance Use, Anxiety and Depressive Disorders. [DOI]
Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L., & Oberski, D. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133. [DOI] [Repository]
2020
Scholarly publications
van de Schoot, R., de Bruin, J., Schram, R., Zahedi, P., de Boer, J., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Tummers, L., & Oberski, D. (2020). ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews. https://www.researchgate.net/publication/342377295_ASReview_Open_Source_Software_for_Efficient_and_Transparent_Active_Learning_for_Systematic_Reviews
Other output
Weijdema, F. P., Knaap, I. M. M. V. D., & Kuil, A. V. D. (2020, Jan 13). RDM Support Presentation for master students in Conflict Studies and Human Rights at Utrecht University. [DOI]