Frontiers in Psychiatry is proud to launch this year's Women in Psychiatry: Computational Psychiatry collection to showcasing recent research advances from women across the entire breadth of Computational Psychiatry - presenting advances in theory, experiment, and methodology.
This Research Topic is seeking submissions exploring psychiatric disorders through computational modeling of brain or behavior with using data with using data. Suggested topics include psychiatric taxonomy, the utilization of computational work with brain histology, multimodal neuroimaging, papers exploring clinical applications, the emerging field of psychoradiology, computational and statistical methodologies, machine learning approaches, new computational and statistical approaches and translational medicine.
At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Science and gender equality are essential to ensure sustainable development. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
Please note: to be considered for this collection, the first or last author should be a researcher who identifies as a woman.
Keywords:
women in, computational, computer modelling
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.
Frontiers in Psychiatry is proud to launch this year's Women in Psychiatry: Computational Psychiatry collection to showcasing recent research advances from women across the entire breadth of Computational Psychiatry - presenting advances in theory, experiment, and methodology.
This Research Topic is seeking submissions exploring psychiatric disorders through computational modeling of brain or behavior with using data with using data. Suggested topics include psychiatric taxonomy, the utilization of computational work with brain histology, multimodal neuroimaging, papers exploring clinical applications, the emerging field of psychoradiology, computational and statistical methodologies, machine learning approaches, new computational and statistical approaches and translational medicine.
At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Science and gender equality are essential to ensure sustainable development. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
Please note: to be considered for this collection, the first or last author should be a researcher who identifies as a woman.
Keywords:
women in, computational, computer modelling
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.