Wouter Weeda

Wouter Weeda is an Assistant Professor in fMRI methodology and statistics at Leiden University's Faculty of Social and Behavioural Sciences. His research focuses on developing advanced methods for analyzing fMRI data and implementing these in statistical software like R. He holds a Masters (2006) and PhD (2012) from the University of Amsterdam, specializing in Statistical Methods and Neuroscience.

His work bridges computational neuroscience and educational technology, with recent publications examining decolonization in digital learning, postdigital education frameworks, and methodological innovations for health interventions. Articles highlight his expertise in statistical modeling, neural oscillations, and cross-cultural educational challenges, particularly in regions affected by crisis or technological disparities.

Key trends in his publications include:

• Decolonizing EdTech practices in Palestine and Sub-Saharan Africa
• Validating health intervention tools like ZIKAMOB
• Analyzing bias-variance tradeoffs in statistical models
• Investigating neural responses to social evaluative threats

Wouter collaborates with institutions like EdTech Hub and contributes to open-access research, emphasizing methodology's role in addressing global educational and health challenges.