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Dr. Peter Clayson, University of South Florida, USA: Considerations and Implications of Open Science for Studies of Human Electrophysiology – the Benefits of Adopting Open Science Practices Open science practices are beginning to permeate clinical and cognitive neuroscience, including studies of human electrophysiology (EEG). These practices largely aim to improve the transparency of research in hopes of increasing the replicability, credibility, and availability of scientific findings. However, the application of these practices to human EEG data can be challenging. EEG is temporally and spectrally rich, and the collection and analysis of EEG is computationally intensive and methodologically complex. These features inherent to EEG data analysis contribute to difficulties with reproducibility and replicability of prominent effects. Therefore, this talk draws on examples from research using EEG and event-related brain potentials (ERPs) to highlight how open science practices can mitigate challenges with the complexity inherent in EEG/ERP data analysis and benefit both the individual researcher and scientific community. These examples include the use of multiverse analyses to optimize data processing, the use of psychometric reliability and data quality to characterize processed data, and the use of preprints to increase attention to published work. By embracing open science principles throughout the research process, researchers can improve the impact of their own work and advance their academic careers, while simultaneously improving the replicability, credibility, and availability of findings from studies of human EEG/ERP data.