About this Research Topic
This research topic, "Women in Brain-Computer Interfaces: Challenges and Opportunities," aims to delve deeper into the unique challenges faced by female researchers in the BCI field, whilst also highlighting the opportunities that exist for advancing their work. Brain-Computer Interfaces (BCI) represent a highly interdisciplinary field, drawing on the expertise of neuroscientists, medical professionals, psychologists, engineers, mathematicians, computer scientists, ethicists, and more. Given the breadth of the field, we are excited to invite contributions from women across all these areas, encompassing theoretical exploration, practical applications, ethical considerations, algorithm development, and neuroscience research.
Currently, women constitute less than 30% of the global research community, a statistic that reflects long-standing gender biases and stereotypes that dissuade many from pursuing careers in STEM (Science, Technology, Engineering, and Mathematics). However, as underscored by UNESCO, achieving gender equality in science is critical for sustainable development. Despite being underrepresented and often underrecognized, female researchers have played and continue to play a pivotal role in driving scientific innovation forward. To shift these traditional perceptions, it is essential to promote gender equality, challenge stereotypes, and encourage the participation of women and girls in STEM careers.
Therefore, the Brain-Computer Interfaces section is proud to provide a platform specifically designed to highlight the contributions of female researchers in BCI and related fields. This editorial initiative, led by Dr. Caterina Cinel, Dr. Zulay Lugo, and Dr. Selina C. Wriessnegger, seeks to showcase the latest advancements in BCI research, with a particular focus on the contributions of women. Contributors are invited to address themes that highlight innovations led by women in BCI, such as the development and optimization of BCI algorithms, signal processing techniques for enhancing brain signal detection, and innovations in neural decoding and control. We are particularly interested in manuscripts that explore the application of BCIs in clinical settings, such as neurorehabilitation, assistive technologies for individuals with motor impairments, and cognitive enhancement systems. By highlighting these technical dimensions, this Research Topic aims to advance the state of the art in BCI and provide a platform for diverse voices to drive future innovations
Please note: To be considered for this collection, at least 1 author should be a researcher who identifies as female.
Currently, women constitute less than 30% of the global research community, a statistic that reflects long-standing gender biases and stereotypes that dissuade many from pursuing careers in STEM (Science, Technology, Engineering, and Mathematics). However, as underscored by UNESCO, achieving gender equality in science is critical for sustainable development. Despite being underrepresented and often underrecognized, female researchers have played and continue to play a pivotal role in driving scientific innovation forward. To shift these traditional perceptions, it is essential to promote gender equality, challenge stereotypes, and encourage the participation of women and girls in STEM careers.
Therefore, the Brain-Computer Interfaces section is proud to provide a platform specifically designed to highlight the contributions of female researchers in BCI and related fields. This editorial initiative, led by Dr. Caterina Cinel, Dr. Zulay Lugo, and Dr. Selina C. Wriessnegger, seeks to showcase the latest advancements in BCI research, with a particular focus on the contributions of women. Contributors are invited to address themes that highlight innovations led by women in BCI, such as the development and optimization of BCI algorithms, signal processing techniques for enhancing brain signal detection, and innovations in neural decoding and control. We are particularly interested in manuscripts that explore the application of BCIs in clinical settings, such as neurorehabilitation, assistive technologies for individuals with motor impairments, and cognitive enhancement systems. By highlighting these technical dimensions, this Research Topic aims to advance the state of the art in BCI and provide a platform for diverse voices to drive future innovations
Please note: To be considered for this collection, at least 1 author should be a researcher who identifies as female.
Keywords: Brain-Computer Interfaces, Women In
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
