About this Research Topic
This Research Topic is part of the Women in Artificial Intelligence series. Other titles in the series are:
Women in Natural Language Processing 2022
Women in AI in Food, Agriculture and Water 2022
Women in Artificial Intelligence in Finance
Women in Language and Computation 2022
Women in AI in Business 2022
Women in Fuzzy Systems 2022
Women in AI: Medicine and Public Health 2022
Women in Machine Learning and Artificial Intelligence 2022
We are delighted to present the inaugural Frontiers in Artificial Intelligence 'Women in Pattern Recognition' series of article collections.
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, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
Therefore, Frontiers in Artificial Intelligence is proud to offer this platform to promote the work of women scientists, across the fields of Pattern Recognition. This editorial initiative of particular relevance is led by Editors Indriyati Atmosukarto and Shabnam Sadeghi-Esfahlani. The work presented here highlights the diversity of research performed across the entire breadth of Pattern Recognition research and presents advances in theory, experiment, and methodology with applications to compelling problems.
Please note: To be considered for this collection, the first or last author should be a researcher who is a woman.
Women in Natural Language Processing 2022
Women in AI in Food, Agriculture and Water 2022
Women in Artificial Intelligence in Finance
Women in Language and Computation 2022
Women in AI in Business 2022
Women in Fuzzy Systems 2022
Women in AI: Medicine and Public Health 2022
Women in Machine Learning and Artificial Intelligence 2022
We are delighted to present the inaugural Frontiers in Artificial Intelligence 'Women in Pattern Recognition' series of article collections.
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, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.
Therefore, Frontiers in Artificial Intelligence is proud to offer this platform to promote the work of women scientists, across the fields of Pattern Recognition. This editorial initiative of particular relevance is led by Editors Indriyati Atmosukarto and Shabnam Sadeghi-Esfahlani. The work presented here highlights the diversity of research performed across the entire breadth of Pattern Recognition research and presents advances in theory, experiment, and methodology with applications to compelling problems.
Please note: To be considered for this collection, the first or last author should be a researcher who is a woman.
Keywords: automated recognition, regularities, statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics, machine learning, #CollectionSeries
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.
